{ "semantic_chunk_registry_id": "FAMILYCASE-AI-SEMANTIC-CHUNK-REGISTRY-001", "generated_at": "2026-06-09T03:44:47.068Z", "brand": "FamilyCase.AI", "status": "semantic_chunks_ready_local_vectorization_pending", "production_customer_launch": "no_go", "knowledge_graph_seed_id": "FAMILYCASE-AI-KNOWLEDGE-GRAPH-SEED-001", "source_count": 10, "chunk_count": 440, "chunking_strategy": { "strategy": "semantic_markdown_heading_sections", "preserves_context": true, "preserves_relationships": true, "naive_fixed_token_chunking": false, "minimum_word_count": 8 }, "chunks": [ { "chunk_id": "chunk:docs_operating_systems_md:001", "source_path": "docs/operating-systems.md", "source_type": "operating_system_documentation", "heading": "Purpose", "heading_level": 2, "ordinal": 1, "word_count": 50, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "purpose" ], "text_preview": "## Purpose This index is the source-of-truth map for the FamilyCase.AI enterprise operating-system documentation set. The operating systems are governance artifacts. They do not authorize live integrations, external outreach, customer communications, public claims, production lau", "source_lineage": { "source_path": "docs/operating-systems.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_operating_systems_md:002", "source_path": "docs/operating-systems.md", "source_type": "operating_system_documentation", "heading": "Authority Model", "heading_level": 2, "ordinal": 2, "word_count": 60, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "authority", "model" ], "text_preview": "## Authority Model 1. [Enterprise Governance and Corporate Control Plane](enterprise-governance-control-plane-operating-system.md) 2. [Master Growth Operating System](master-growth-operating-system.md) 3. [Knowledge Graph and RAG Architecture](knowledge-graph-rag-operating-system", "source_lineage": { "source_path": "docs/operating-systems.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_operating_systems_md:003", "source_path": "docs/operating-systems.md", "source_type": "operating_system_documentation", "heading": "Cross-System Controls", "heading_level": 2, "ordinal": 3, "word_count": 39, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "cross", "system", "controls" ], "text_preview": "## Cross-System Controls Every operating system must preserve: - Scoped permissions - Retrieval-time authorization where knowledge is used - Audit logging - Human override - Source validation - Evidence ownership - Approval-state tracking - No-side-effect boundaries before live e", "source_lineage": { "source_path": "docs/operating-systems.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_operating_systems_md:004", "source_path": "docs/operating-systems.md", "source_type": "operating_system_documentation", "heading": "Batch-15 Completion Evidence", "heading_level": 2, "ordinal": 4, "word_count": 109, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "batch", "completion", "evidence" ], "text_preview": "## Batch-15 Completion Evidence This index supports the current 15-item improvement batch: 1. Enterprise governance/control-plane document exists. 2. Master growth operating-system document exists. 3. Knowledge architecture operating-system document exists. 4. Agent workforce gov", "source_lineage": { "source_path": "docs/operating-systems.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_operating_systems_md:005", "source_path": "docs/operating-systems.md", "source_type": "operating_system_documentation", "heading": "Verification", "heading_level": 2, "ordinal": 5, "word_count": 25, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "verification" ], "text_preview": "## Verification Run: ```bash npm run verify:operating-systems ``` The verifier checks that the documentation set is complete, linked, indexed, machine-readable, and explicit about implementation boundaries.", "source_lineage": { "source_path": "docs/operating-systems.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:001", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Objective", "heading_level": 2, "ordinal": 1, "word_count": 77, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "objective" ], "text_preview": "## Executive Objective Establish a unified governance framework that coordinates all FamilyCase.AI operating systems, AI agents, products, initiatives, investments, risks, and strategic priorities. This document serves as the highest authority within the FamilyCase.AI operational", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:002", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Corporate Mission", "heading_level": 2, "ordinal": 2, "word_count": 29, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "corporate", "mission" ], "text_preview": "## Corporate Mission FamilyCase.AI exists to become the operating system for family law. Every investment. Every feature. Every workflow. Every AI agent. Every strategic initiative. Must support that mission.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:004", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Level 1", "heading_level": 3, "ordinal": 4, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "level" ], "text_preview": "### Level 1 Executive Governance Council. Highest authority.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:005", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Level 2", "heading_level": 3, "ordinal": 5, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "level" ], "text_preview": "### Level 2 Executive Operating Committee. Cross-functional leadership.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:006", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Level 3", "heading_level": 3, "ordinal": 6, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "level" ], "text_preview": "### Level 3 Operating Systems: - Knowledge OS - Workforce OS - Content OS - Social OS - Intelligence OS - Revenue OS", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:018", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Governance Responsibilities", "heading_level": 2, "ordinal": 18, "word_count": 30, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "governance", "responsibilities" ], "text_preview": "## Governance Responsibilities The Council owns: - Corporate strategy - Risk management - Portfolio management - Resource allocation - Budget allocation - Capital planning - Long-term roadmap - Governance policy", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:019", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "FamilyCase.AI Corporate Objectives", "heading_level": 2, "ordinal": 19, "word_count": 29, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "familycase", "corporate", "objectives" ], "text_preview": "## FamilyCase.AI Corporate Objectives Primary objectives: 1. Customer success 2. Product excellence 3. Sustainable growth 4. Operational efficiency 5. Market leadership 6. Trust and security 7. Long-term shareholder value", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:027", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Enterprise Portfolio Management", "heading_level": 2, "ordinal": 27, "word_count": 9, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "enterprise", "portfolio", "management" ], "text_preview": "## Enterprise Portfolio Management All initiatives belong to portfolios.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:031", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Intelligence Portfolio", "heading_level": 3, "ordinal": 31, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "intelligence", "portfolio" ], "text_preview": "### Intelligence Portfolio Research. Competitive intelligence. Analyst relations.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:032", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Infrastructure Portfolio", "heading_level": 3, "ordinal": 32, "word_count": 9, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "infrastructure", "portfolio" ], "text_preview": "### Infrastructure Portfolio Knowledge systems. Agent systems. Engineering systems.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:033", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Portfolio Prioritization Framework", "heading_level": 2, "ordinal": 33, "word_count": 28, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "portfolio", "prioritization", "framework" ], "text_preview": "## Portfolio Prioritization Framework Score every initiative. Criteria: - Revenue Impact - Customer Impact - Strategic Value - Competitive Advantage - Risk - Cost - Time to Value", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:034", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Resource Allocation Engine", "heading_level": 2, "ordinal": 34, "word_count": 29, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "resource", "allocation", "engine" ], "text_preview": "## Resource Allocation Engine Resources should be allocated based on: - Business impact - Strategic importance - Revenue potential - Customer value Not politics. Not opinion. Not historical precedent.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:035", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Enterprise Budgeting Framework", "heading_level": 2, "ordinal": 35, "word_count": 29, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "enterprise", "budgeting", "framework" ], "text_preview": "## Enterprise Budgeting Framework Track investment categories: - Product - Infrastructure - Content - Customer Success - Revenue Operations - Intelligence - Security Every investment must have expected outcomes.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:036", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Risk Management Framework", "heading_level": 2, "ordinal": 36, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "risk", "management", "framework" ], "text_preview": "## Risk Management Framework Maintain enterprise risk register.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:037", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Strategic Risks", "heading_level": 3, "ordinal": 37, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "strategic", "risks" ], "text_preview": "### Strategic Risks Market shifts. Competition. Technology disruption.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:042", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Risk Scoring Framework", "heading_level": 2, "ordinal": 42, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "risk", "scoring", "framework" ], "text_preview": "## Risk Scoring Framework Every risk receives: - Probability - Impact - Time horizon - Mitigation plan - Owner", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:043", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Enterprise Compliance Program", "heading_level": 2, "ordinal": 43, "word_count": 28, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "enterprise", "compliance", "program" ], "text_preview": "## Enterprise Compliance Program Govern: - Privacy - Security - Data handling - AI governance - Customer obligations Compliance requirements must be embedded into workflows. Not added later.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:044", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "AI Governance Framework", "heading_level": 2, "ordinal": 44, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "governance", "framework" ], "text_preview": "## AI Governance Framework All AI systems must be: - Auditable - Explainable - Governed - Secure", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:051", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 1", "heading_level": 3, "ordinal": 51, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 1 Routine. Auto-approved. Examples: - Documentation updates - FAQ updates - Internal reports", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:052", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 2", "heading_level": 3, "ordinal": 52, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 2 Manager review. Examples: - Workflow changes - Training changes", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:053", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 3", "heading_level": 3, "ordinal": 53, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 3 Executive review. Examples: - Product launches - Pricing changes - Major campaigns", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:054", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 4", "heading_level": 3, "ordinal": 54, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 4 Board-level review. Examples: - Acquisitions - Strategic pivots - Capital allocation changes", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:055", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Change Management Framework", "heading_level": 2, "ordinal": 55, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "change", "management", "framework" ], "text_preview": "## Change Management Framework Every major change requires: - Business case - Risk analysis - Rollback plan - Success metrics", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:056", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Program Management Office", "heading_level": 2, "ordinal": 56, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "program", "management", "office" ], "text_preview": "## Program Management Office Create autonomous PMO. Responsibilities: - Program tracking - Dependencies - Milestones - Risk monitoring", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:057", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Enterprise KPI Framework", "heading_level": 2, "ordinal": 57, "word_count": 33, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "enterprise", "framework" ], "text_preview": "## Enterprise KPI Framework Corporate KPIs: - ARR - NRR - GRR - Customer Satisfaction - Product Adoption - Feature Utilization - Support Deflection - Content Influence - Social Influence - Operational Efficiency", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:059", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Daily Executive Briefing", "heading_level": 3, "ordinal": 59, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "daily", "executive", "briefing" ], "text_preview": "### Daily Executive Briefing Critical issues. Opportunities. Risks.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:064", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Decision Intelligence System", "heading_level": 2, "ordinal": 64, "word_count": 25, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "decision", "intelligence", "system" ], "text_preview": "## Decision Intelligence System Every major recommendation must include: - Recommendation - Evidence - Impact estimate - Cost estimate - Risk estimate - Confidence level", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:065", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Enterprise Data Governance", "heading_level": 2, "ordinal": 65, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "enterprise", "data", "governance" ], "text_preview": "## Enterprise Data Governance All operating systems must share: - Definitions - Metrics - Taxonomies - Ontologies Single source of truth.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:066", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Vendor Management Framework", "heading_level": 2, "ordinal": 66, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "vendor", "management", "framework" ], "text_preview": "## Vendor Management Framework Evaluate: - Open source - Commercial software - AI providers - Infrastructure providers Avoid unnecessary lock-in.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:067", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Business Continuity Program", "heading_level": 2, "ordinal": 67, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "business", "continuity", "program" ], "text_preview": "## Business Continuity Program Prepare for: - Infrastructure failure - Security incidents - Vendor outages - Regulatory changes Maintain continuity plans.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:068", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Dashboard", "heading_level": 2, "ordinal": 68, "word_count": 24, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "dashboard" ], "text_preview": "## Executive Dashboard Provide real-time visibility into: - Product - Revenue - Customers - Risks - Operations - Security - Market Single executive view.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:069", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Board Reporting Framework", "heading_level": 2, "ordinal": 69, "word_count": 26, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "board", "reporting", "framework" ], "text_preview": "## Board Reporting Framework Monthly board package. Include: - Corporate Performance - Revenue - Customers - Product - Market - Risks - Opportunities - Strategic Recommendations", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:070", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "M&A Readiness Framework", "heading_level": 2, "ordinal": 70, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "readiness", "framework" ], "text_preview": "## M&A Readiness Framework Prepare company for: - Investment - Strategic partnerships - Acquisition opportunities Maintain institutional readiness.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:071", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Organizational Learning System", "heading_level": 2, "ordinal": 71, "word_count": 27, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "organizational", "learning", "system" ], "text_preview": "## Organizational Learning System Every operating system must contribute lessons learned. Store: - Successes - Failures - Experiments - Best practices Institutional memory must compound over time.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:072", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Continuous Improvement Program", "heading_level": 2, "ordinal": 72, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "continuous", "improvement", "program" ], "text_preview": "## Continuous Improvement Program Monthly reviews. Identify: - Bottlenecks - Waste - Risks - Opportunities Implement improvements continuously.", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:073", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Corporate Control Plane", "heading_level": 2, "ordinal": 73, "word_count": 54, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "corporate", "control", "plane" ], "text_preview": "## Corporate Control Plane The Corporate Control Plane coordinates: - Knowledge OS - Workforce OS - Content OS - Social OS - Intelligence OS - Revenue OS All major decisions flow through the Control Plane. All major metrics roll up into the Control Plane. The Control Plane become", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:074", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Final Governance Principle", "heading_level": 2, "ordinal": 74, "word_count": 74, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "final", "governance", "principle" ], "text_preview": "## Final Governance Principle Every operating system. Every AI agent. Every workflow. Every initiative. Every investment. Every decision. Must support: - Customer success - Product excellence - Sustainable growth - Market leadership - Long-term value creation Governance exists to", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_enterprise_governance_control_plane_operating_system_md:075", "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "source_type": "operating_system_documentation", "heading": "Implementation Boundaries", "heading_level": 2, "ordinal": 75, "word_count": 118, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "implementation", "boundaries" ], "text_preview": "## Implementation Boundaries - This document defines governance policy and operating architecture; it does not authorize live financial actions, board communications, legal commitments, customer communications, production changes, capital allocation, hiring, vendor purchases, or ", "source_lineage": { "source_path": "docs/enterprise-governance-control-plane-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:001", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Purpose", "heading_level": 2, "ordinal": 1, "word_count": 44, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "purpose" ], "text_preview": "## Purpose This document governs the FamilyCase.AI autonomous growth, content, training, intelligence, and revenue operating system under the [Enterprise Governance and Corporate Control Plane](enterprise-governance-control-plane-operating-system.md). It defines the master operat", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:002", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Mission", "heading_level": 2, "ordinal": 2, "word_count": 81, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "mission" ], "text_preview": "## Executive Mission FamilyCase.AI shall operate an autonomous AI-powered growth organization responsible for continuously increasing: - Product adoption - Customer satisfaction - Customer retention - Expansion revenue - Qualified pipeline - Brand awareness - Market authority - A", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:003", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Core Principle", "heading_level": 2, "ordinal": 3, "word_count": 59, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "core", "principle" ], "text_preview": "## Core Principle Every activity performed by every AI agent must ultimately contribute to one or more of: - Customer value - Product adoption - Customer success - Support deflection - Pipeline generation - Revenue growth - Retention - Market authority If an activity does not con", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:004", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Growth Operating System Architecture", "heading_level": 2, "ordinal": 4, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "growth", "operating", "system", "architecture" ], "text_preview": "## Growth Operating System Architecture The Growth Operating System consists of seven integrated operating systems.", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:005", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "1. Content Operating System", "heading_level": 3, "ordinal": 5, "word_count": 53, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "operating", "system" ], "text_preview": "### 1. Content Operating System Responsible for: - Website content - Documentation - Knowledge base - FAQs - Academy - Release notes - Product education - Customer education - Help center No page, link, feature, workflow, or user journey may exist without supporting content. No d", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:006", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "2. Training Operating System", "heading_level": 3, "ordinal": 6, "word_count": 46, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "training", "operating", "system" ], "text_preview": "### 2. Training Operating System Responsible for: - Academy - Certifications - Onboarding - Product walkthroughs - Customer success training - Internal enablement - Support enablement Every feature must have training. Every major workflow must have guided learning. Training must ", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:007", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "3. Social Growth Operating System", "heading_level": 3, "ordinal": 7, "word_count": 55, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "social", "growth", "operating", "system" ], "text_preview": "### 3. Social Growth Operating System Responsible for: - LinkedIn - X - YouTube - Facebook - Instagram Create: - Articles - Posts - Threads - Videos - Shorts - Reels - Carousels - Educational content - Founder thought leadership Research trends weekly. Create platform-specific co", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:008", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "4. Community Operating System", "heading_level": 3, "ordinal": 8, "word_count": 44, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "community", "operating", "system" ], "text_preview": "### 4. Community Operating System Responsible for: - Community engagement - Professional associations - Legal communities - Industry groups - Discussion forums The objective is authority and trust. Not spam. Not promotion. Provide useful expertise. Identify customer pain points. ", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:009", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "5. Market Intelligence Operating System", "heading_level": 3, "ordinal": 9, "word_count": 38, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "market", "intelligence", "operating", "system" ], "text_preview": "### 5. Market Intelligence Operating System Monitor: - Family law trends - Court technology - Legal technology - AI trends - Regulatory changes - Consumer behavior Produce: - Weekly intelligence reports - Monthly executive reports - Strategic recommendations", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:010", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "6. Competitive Intelligence Operating System", "heading_level": 3, "ordinal": 10, "word_count": 39, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "competitive", "intelligence", "operating", "system" ], "text_preview": "### 6. Competitive Intelligence Operating System Continuously monitor competitors. Track: - Product releases - Pricing - Messaging - Positioning - SEO - Social performance - AI visibility Produce: - Battlecards - Competitive briefs - Product recommendations - Messaging recommenda", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:011", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "7. Revenue Intelligence Operating System", "heading_level": 3, "ordinal": 11, "word_count": 30, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "intelligence", "operating", "system" ], "text_preview": "### 7. Revenue Intelligence Operating System Track: - Pipeline influence - Revenue influence - Product adoption - Customer retention - Expansion revenue - Support deflection Every asset must be measurable.", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:013", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Growth Officer Agent", "heading_level": 3, "ordinal": 13, "word_count": 25, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "growth", "officer", "agent" ], "text_preview": "### Chief Growth Officer Agent Executive owner of the entire system. Responsible for: - Strategy - Prioritization - Governance - Resource allocation - Revenue impact", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:014", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Content Officer Agent", "heading_level": 3, "ordinal": 14, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "content", "officer", "agent" ], "text_preview": "### Chief Content Officer Agent Owns: - Documentation - Website - Academy - Knowledge base - Help center", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:015", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Social Growth Leader Agent", "heading_level": 3, "ordinal": 15, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "social", "growth", "leader", "agent" ], "text_preview": "### Social Growth Leader Agent Owns: - Content distribution - Social growth - Community engagement - Trend analysis", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:016", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Market Intelligence Director Agent", "heading_level": 3, "ordinal": 16, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "market", "intelligence", "director", "agent" ], "text_preview": "### Market Intelligence Director Agent Owns: - Market monitoring - Industry intelligence - Opportunity identification", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:017", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Competitive Intelligence Director Agent", "heading_level": 3, "ordinal": 17, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "competitive", "intelligence", "director", "agent" ], "text_preview": "### Competitive Intelligence Director Agent Owns: - Competitor monitoring - Competitive analysis - Strategic recommendations", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:018", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Intelligence Director Agent", "heading_level": 3, "ordinal": 18, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "intelligence", "director", "agent" ], "text_preview": "### Revenue Intelligence Director Agent Owns: - Attribution - Analytics - ROI measurement - Revenue reporting", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:019", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Unified Knowledge Architecture", "heading_level": 2, "ordinal": 19, "word_count": 67, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "unified", "knowledge", "architecture" ], "text_preview": "## Unified Knowledge Architecture Build a centralized knowledge platform. Sources include: - Product - Website - Documentation - Academy - CRM - Support - Customer Success - Jira - GitHub - Product telemetry - Release notes - Social analytics Components: - Vector database - Knowl", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:020", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Unified Growth Graph", "heading_level": 2, "ordinal": 20, "word_count": 44, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "unified", "growth", "graph" ], "text_preview": "## Unified Growth Graph Create a Growth Graph connecting: Customer -> Content -> Training -> Product Usage -> Opportunity -> Revenue The graph must understand influence relationships. Example: Blog Post -> Demo Request -> Trial -> Customer -> Expansion Every asset should be measu", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:021", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Attribution Engine", "heading_level": 2, "ordinal": 21, "word_count": 42, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "attribution", "engine" ], "text_preview": "## Revenue Attribution Engine Support: - First-touch attribution - Last-touch attribution - Multi-touch attribution - Assisted attribution Measure influence from: - Content - Training - Social - Webinars - Community engagement - Product education The system must identify which ac", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:022", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Release Governance", "heading_level": 2, "ordinal": 22, "word_count": 53, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "release", "governance" ], "text_preview": "## Product Release Governance No feature may reach production until: - Documentation exists. - FAQ exists. - Support article exists. - Training exists. - Release notes exist. - Search indexing is updated. - Customer success enablement is completed. - Social launch content is prep", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:023", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Discovery Program", "heading_level": 2, "ordinal": 23, "word_count": 30, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "discovery", "program" ], "text_preview": "## Product Discovery Program Continuously inspect: - GitHub - Jira - Feature flags - Product UI - APIs - Database schemas Automatically identify upcoming content needs. Generate work before release.", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:024", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer Success Intelligence", "heading_level": 2, "ordinal": 24, "word_count": 40, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "success", "intelligence" ], "text_preview": "## Customer Success Intelligence Analyze: - Support tickets - Customer calls - Onboarding friction - Product usage - Search behavior - Feature adoption Create: - New documentation - Training - FAQs - Walkthroughs - Videos based on real customer behavior.", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:025", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "AI Search Visibility Program", "heading_level": 2, "ordinal": 25, "word_count": 37, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "search", "visibility", "program" ], "text_preview": "## AI Search Visibility Program Monitor visibility in: - ChatGPT - Claude - Gemini - Perplexity - Google AI Overviews Track: - Mentions - Recommendations - Citations - Share of voice Identify actions required to improve visibility.", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:026", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Social Growth Program", "heading_level": 2, "ordinal": 26, "word_count": 65, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "social", "growth", "program" ], "text_preview": "## Social Growth Program Every week: - Research platform-specific trends. - Create LinkedIn posts. - Create LinkedIn articles. - Create X posts. - Create X threads. - Create YouTube videos. - Create YouTube Shorts. - Create Facebook posts. - Create Instagram posts. - Create Insta", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:027", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Community Engagement Program", "heading_level": 2, "ordinal": 27, "word_count": 31, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "community", "engagement", "program" ], "text_preview": "## Community Engagement Program Monitor relevant discussions. Participate where useful. Provide expertise. Identify opportunities. Generate awareness. Build authority. Any automated engagement must remain accurate, relevant, transparent, and compliant with platform rules.", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:028", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Quality Governance", "heading_level": 2, "ordinal": 28, "word_count": 31, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "quality", "governance" ], "text_preview": "## Content Quality Governance Every asset must receive scores for: - Accuracy - Completeness - Freshness - Readability - Searchability - Customer usefulness - Revenue influence Assets below threshold enter remediation.", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:029", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Open Source First Strategy", "heading_level": 2, "ordinal": 29, "word_count": 36, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "open", "source", "first", "strategy" ], "text_preview": "## Open Source First Strategy Prefer open-source platforms whenever practical. Examples include: - Documentation platforms - LMS platforms - Knowledge bases - Search systems - Analytics systems Custom development should be justified by measurable business value.", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:030", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Dashboard", "heading_level": 2, "ordinal": 30, "word_count": 44, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "dashboard" ], "text_preview": "## Executive Dashboard Track: - Documentation coverage - Training coverage - Dead links - Content freshness - Search success rate - Support deflection - Product adoption - Social engagement - Website traffic - Demo requests - Trial conversions - Pipeline influenced - ARR influenc", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:031", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Monthly Growth Council", "heading_level": 2, "ordinal": 31, "word_count": 76, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "monthly", "growth", "council" ], "text_preview": "## Monthly Growth Council Participants: - Chief Growth Officer Agent - Chief Content Officer Agent - Social Growth Leader Agent - Market Intelligence Director Agent - Competitive Intelligence Director Agent - Revenue Intelligence Director Agent Review: - Customer feedback - Produ", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:032", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Final Operating Principle", "heading_level": 2, "ordinal": 32, "word_count": 75, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "final", "operating", "principle" ], "text_preview": "## Final Operating Principle Every page. Every document. Every video. Every training module. Every support article. Every webinar. Every social post. Every community interaction. Every recommendation. Must answer: \"How does this improve customer value, adoption, retention, pipeli", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:033", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Subordinate Specifications", "heading_level": 2, "ordinal": 33, "word_count": 64, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "subordinate", "specifications" ], "text_preview": "## Subordinate Specifications The master operating system should be implemented through separate subordinate specifications: 0. [Enterprise Governance and Corporate Control Plane](enterprise-governance-control-plane-operating-system.md) 1. [Content and Documentation Operating Sys", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_master_growth_operating_system_md:034", "source_path": "docs/master-growth-operating-system.md", "source_type": "operating_system_documentation", "heading": "Implementation Boundaries", "heading_level": 2, "ordinal": 34, "word_count": 96, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "implementation", "boundaries" ], "text_preview": "## Implementation Boundaries - This document is a governing operating model, not approval to publish externally, contact communities, run paid tools, make customer claims, or automate outbound engagement. - Any social, community, market, competitive, analytics, CRM, support, Jira", "source_lineage": { "source_path": "docs/master-growth-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:001", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Objective", "heading_level": 2, "ordinal": 1, "word_count": 102, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "objective" ], "text_preview": "## Executive Objective Build a centralized enterprise knowledge platform that serves as the single source of truth for all FamilyCase.AI AI agents, applications, workflows, content systems, training systems, support systems, revenue operations systems, analytics systems, and futu", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:003", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 1", "heading_level": 3, "ordinal": 3, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 1 Knowledge must be centralized. No isolated knowledge silos. No agent-specific knowledge stores. No undocumented tribal knowledge.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:004", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 2", "heading_level": 3, "ordinal": 4, "word_count": 22, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 2 Knowledge must be discoverable. All information must be searchable. All information must be retrievable. All information must be connected.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:005", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 3", "heading_level": 3, "ordinal": 5, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 3 Knowledge must be versioned. Historical context matters. Previous states must remain accessible.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:006", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 4", "heading_level": 3, "ordinal": 6, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 4 Knowledge must be explainable. Every answer must be traceable to source material. No unsupported assertions. No unverifiable facts.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:007", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 5", "heading_level": 3, "ordinal": 7, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 5 Knowledge must improve continuously. The system should become smarter every week.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:008", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Enterprise Knowledge Architecture", "heading_level": 2, "ordinal": 8, "word_count": 28, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "enterprise", "knowledge", "architecture" ], "text_preview": "## Enterprise Knowledge Architecture The platform consists of five major layers: 1. Source Systems 2. Ingestion Layer 3. Knowledge Graph 4. Vector Intelligence Layer 5. Agent Retrieval Layer", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:009", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Source Systems", "heading_level": 2, "ordinal": 9, "word_count": 10, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "source", "systems" ], "text_preview": "## Source Systems Continuously ingest information from approved source systems.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:010", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Platform", "heading_level": 3, "ordinal": 10, "word_count": 25, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "platform" ], "text_preview": "### Product Platform - Application metadata - Product schemas - Feature definitions - Permissions - Workflows - Settings - Navigation - UI structure - Telemetry", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:011", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Engineering", "heading_level": 3, "ordinal": 11, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "engineering" ], "text_preview": "### Engineering - GitHub repositories - Pull requests - Releases - Changelogs - Architecture documents - ADRs - CI/CD data", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:012", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Project Management", "heading_level": 3, "ordinal": 12, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "project", "management" ], "text_preview": "### Project Management - Jira - Epics - Stories - Tasks - Roadmaps - Sprint plans", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:013", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "CRM", "heading_level": 3, "ordinal": 13, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation" ], "text_preview": "### CRM - Accounts - Contacts - Opportunities - Activities - Customer notes - Expansion opportunities", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:014", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer Success", "heading_level": 3, "ordinal": 14, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "success" ], "text_preview": "### Customer Success - Success plans - QBRs - Adoption reports - Health scores - Risk indicators", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:015", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Support", "heading_level": 3, "ordinal": 15, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "support" ], "text_preview": "### Support - Tickets - FAQs - Resolution workflows - Escalations - Customer issues", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:016", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Marketing", "heading_level": 3, "ordinal": 16, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "marketing" ], "text_preview": "### Marketing - Website - Blog - Landing pages - Campaigns - Content performance", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:017", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Training", "heading_level": 3, "ordinal": 17, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "training" ], "text_preview": "### Training - Academy modules - Certifications - Courses - Assessments", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:018", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Social", "heading_level": 3, "ordinal": 18, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "social" ], "text_preview": "### Social - LinkedIn - X - YouTube - Facebook - Instagram - Performance metrics - Content inventory", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:019", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Intelligence Sources", "heading_level": 3, "ordinal": 19, "word_count": 26, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "intelligence", "sources" ], "text_preview": "### Intelligence Sources Approved external sources: - Legal technology publications - Family law publications - Industry reports - Analyst reports - Regulatory sources - Court-related sources", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:020", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Ingestion Layer", "heading_level": 2, "ordinal": 20, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "ingestion", "layer" ], "text_preview": "## Ingestion Layer Create specialized ingestion pipelines. Every source receives normalization, metadata enrichment, classification, and relationship extraction.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:022", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Metadata Enrichment", "heading_level": 3, "ordinal": 22, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "metadata", "enrichment" ], "text_preview": "### Metadata Enrichment Add: - Source - Author - Timestamp - Topic - Product area - Persona - Customer segment - Confidence score", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:023", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Classification", "heading_level": 3, "ordinal": 23, "word_count": 24, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "classification" ], "text_preview": "### Classification Classify content into: - Product - Support - Marketing - Customer Success - Training - Competitive - Market Intelligence - Revenue Intelligence", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:024", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Relationship Extraction", "heading_level": 3, "ordinal": 24, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "relationship", "extraction" ], "text_preview": "### Relationship Extraction Automatically identify relationships. Example: Feature -> Documentation -> Training -> FAQ -> Support Ticket -> Customer Outcome", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:025", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Enterprise Knowledge Graph", "heading_level": 2, "ordinal": 25, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "enterprise", "knowledge", "graph" ], "text_preview": "## Enterprise Knowledge Graph The Knowledge Graph becomes the company's institutional memory. Store entities.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:026", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Entities", "heading_level": 3, "ordinal": 26, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "entities" ], "text_preview": "### Product Entities - Features - Workflows - Settings - APIs - Permissions", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:027", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer Entities", "heading_level": 3, "ordinal": 27, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "entities" ], "text_preview": "### Customer Entities - Accounts - Contacts - Opportunities - Users", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:028", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Entities", "heading_level": 3, "ordinal": 28, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "entities" ], "text_preview": "### Content Entities - Articles - Videos - FAQs - Documentation - Webinars", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:029", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Training Entities", "heading_level": 3, "ordinal": 29, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "training", "entities" ], "text_preview": "### Training Entities - Courses - Modules - Lessons - Certifications", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:030", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Entities", "heading_level": 3, "ordinal": 30, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "entities" ], "text_preview": "### Revenue Entities - Pipeline - Opportunities - Customers - Renewals - Expansion", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:031", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Intelligence Entities", "heading_level": 3, "ordinal": 31, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "intelligence", "entities" ], "text_preview": "### Intelligence Entities - Competitors - Trends - Regulations - Market Events", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:032", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Relationship Framework", "heading_level": 2, "ordinal": 32, "word_count": 48, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "relationship", "framework" ], "text_preview": "## Relationship Framework Examples: Customer -> Consumed Content Customer -> Attended Webinar Customer -> Opened Trial Customer -> Adopted Feature Feature -> Requires Documentation Feature -> Requires Training Support Ticket -> Indicates Documentation Gap Competitor -> Released F", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:033", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Registry", "heading_level": 2, "ordinal": 33, "word_count": 68, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "registry" ], "text_preview": "## Content Registry Create a complete inventory. Track: - Every page - Every article - Every FAQ - Every document - Every video - Every webinar - Every training module - Every social asset Store: - Owner - Audience - Funnel stage - Persona - Product area - Revenue influence - Las", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:034", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Vector Intelligence Layer", "heading_level": 2, "ordinal": 34, "word_count": 10, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "vector", "intelligence", "layer" ], "text_preview": "## Vector Intelligence Layer Create enterprise vector stores. Recommended architecture:", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:042", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chunking Strategy", "heading_level": 2, "ordinal": 42, "word_count": 26, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chunking", "strategy" ], "text_preview": "## Chunking Strategy Do not use naive chunking. Use semantic chunking. Preserve: - Context - Relationships - Sections - References Chunk boundaries should align with meaning.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:043", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Embedding Strategy", "heading_level": 2, "ordinal": 43, "word_count": 26, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "embedding", "strategy" ], "text_preview": "## Embedding Strategy Maintain multiple embedding models. Optimize for: - Semantic retrieval - Question answering - Classification - Recommendations Allow future model replacement. No vendor lock-in.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:044", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Retrieval Framework", "heading_level": 2, "ordinal": 44, "word_count": 31, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "retrieval", "framework" ], "text_preview": "## Retrieval Framework Every agent retrieves through: 1. Knowledge Graph lookup 2. Vector retrieval 3. Metadata filtering 4. Source validation 5. Confidence scoring 6. Answer generation No agent may skip retrieval.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:045", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Multi-Agent Retrieval Rules", "heading_level": 2, "ordinal": 45, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "multi", "agent", "retrieval", "rules" ], "text_preview": "## Multi-Agent Retrieval Rules All agents use the same knowledge platform.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:046", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Documentation Agent", "heading_level": 3, "ordinal": 46, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "documentation", "agent" ], "text_preview": "### Documentation Agent Retrieves: - Product data - Release data - Support data", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:047", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Training Agent", "heading_level": 3, "ordinal": 47, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "training", "agent" ], "text_preview": "### Training Agent Retrieves: - Product workflows - Support issues - Customer friction", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:048", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Social Agent", "heading_level": 3, "ordinal": 48, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "social", "agent" ], "text_preview": "### Social Agent Retrieves: - Market trends - Product updates - Customer success stories", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:049", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Agent", "heading_level": 3, "ordinal": 49, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "agent" ], "text_preview": "### Revenue Agent Retrieves: - Attribution - Pipeline influence - Conversion metrics", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:050", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Validation Layer", "heading_level": 2, "ordinal": 50, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "validation", "layer" ], "text_preview": "## Knowledge Validation Layer Before knowledge becomes trusted, validate: - Source quality - Freshness - Completeness - Consistency Assign confidence scores.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:051", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Contradiction Detection", "heading_level": 2, "ordinal": 51, "word_count": 27, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "contradiction", "detection" ], "text_preview": "## Contradiction Detection Detect conflicts automatically. Example: Documentation says Feature A exists. Product metadata says Feature A was removed. Flag for review. Do not serve conflicting knowledge.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:052", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Freshness Program", "heading_level": 2, "ordinal": 52, "word_count": 55, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "freshness", "program" ], "text_preview": "## Knowledge Freshness Program Refresh schedules: | Knowledge area | Refresh cadence | | --- | --- | | Product | Daily | | Support | Daily | | CRM | Hourly | | Website | Daily | | Social | Daily | | Market Intelligence | Daily | | Competitor Intelligence | Daily |", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:055", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Episodic Memory", "heading_level": 3, "ordinal": 55, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "episodic", "memory" ], "text_preview": "### Episodic Memory Historical events. Examples: - Product launches - Customer escalations - Major releases", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:056", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Semantic Memory", "heading_level": 3, "ordinal": 56, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "semantic", "memory" ], "text_preview": "### Semantic Memory Long-term institutional knowledge. Examples: - Product architecture - Best practices - Company standards", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:057", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Agent Learning Framework", "heading_level": 2, "ordinal": 57, "word_count": 33, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agent", "learning", "framework" ], "text_preview": "## Agent Learning Framework Agents continuously learn from: - Product changes - Customer behavior - Support interactions - Content performance - Revenue outcomes Store learnings in semantic memory. Share learnings across all agents.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:058", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Governance Council", "heading_level": 2, "ordinal": 58, "word_count": 43, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "governance", "council" ], "text_preview": "## Knowledge Governance Council Monthly participants: - Chief Knowledge Officer Agent - Chief Growth Officer Agent - Product Agent - Support Agent - Customer Success Agent - Revenue Agent Responsibilities: - Quality review - Coverage review - Gap analysis - Knowledge health scori", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:059", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Health Metrics", "heading_level": 2, "ordinal": 59, "word_count": 61, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "health", "metrics" ], "text_preview": "## Knowledge Health Metrics Track: | Metric | Target | | --- | --- | | Coverage | 100% knowledge coverage | | Freshness | 95%+ current information | | Accuracy | 99%+ validation score | | Retrieval Precision | 95%+ correct answer rate | | Retrieval Recall | 95%+ knowledge retriev", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:060", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Open Source First Architecture", "heading_level": 2, "ordinal": 60, "word_count": 38, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "open", "source", "first", "architecture" ], "text_preview": "## Open Source First Architecture Evaluate: - OpenSearch - Qdrant - Weaviate - Milvus - Neo4j - JanusGraph - Apache Atlas - Airbyte - LangGraph - Haystack - LlamaIndex Prefer open source whenever practical. Avoid unnecessary vendor lock-in.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:061", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Security Requirements", "heading_level": 2, "ordinal": 61, "word_count": 39, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "security", "requirements" ], "text_preview": "## Security Requirements Knowledge access must respect: - Tenant isolation - RBAC - ABAC - Data classification - Audit logging No agent may retrieve information it is not authorized to access. Knowledge security must be enforced at retrieval time.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:062", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Future Architecture", "heading_level": 2, "ordinal": 62, "word_count": 33, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "future", "architecture" ], "text_preview": "## Future Architecture The knowledge platform must support: - New products - New agents - New data sources - New retrieval models - New vector models - New graph technologies without requiring redesign.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:063", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Final Principle", "heading_level": 2, "ordinal": 63, "word_count": 59, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "final", "principle" ], "text_preview": "## Final Principle The Knowledge Platform is the institutional brain of FamilyCase.AI. Every AI agent. Every workflow. Every content asset. Every training module. Every support interaction. Every customer success action. Every social campaign. Every revenue analysis. Must be grou", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:064", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Implementation Boundaries", "heading_level": 2, "ordinal": 64, "word_count": 120, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "implementation", "boundaries" ], "text_preview": "## Implementation Boundaries - This document is an architecture and governance operating system, not approval to connect live CRM, support, Jira, GitHub, social, telemetry, or customer-data systems. - Any ingestion from customer, revenue, support, social, or product telemetry sys", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:065", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Enterprise Knowledge Control Plane", "heading_level": 2, "ordinal": 65, "word_count": 64, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "enterprise", "knowledge", "control", "plane" ], "text_preview": "## Enterprise Knowledge Control Plane The Knowledge Platform shall operate through a centralized Knowledge Control Plane. The Control Plane becomes the orchestration layer for: - Ingestion - Classification - Entity extraction - Relationship extraction - Validation - Retrieval - A", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:066", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Knowledge Officer Agent", "heading_level": 2, "ordinal": 66, "word_count": 47, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "knowledge", "officer", "agent" ], "text_preview": "## Chief Knowledge Officer Agent Create a dedicated Chief Knowledge Officer (CKO) Agent. Responsibilities: - Knowledge strategy - Knowledge governance - Knowledge quality - Knowledge lifecycle - Data source onboarding - Retrieval optimization - Agent knowledge policies The CKO Ag", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:067", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Domain Owners", "heading_level": 2, "ordinal": 67, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "domain", "owners" ], "text_preview": "## Knowledge Domain Owners Create domain-specific knowledge owners.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:068", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Knowledge Agent", "heading_level": 3, "ordinal": 68, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "knowledge", "agent" ], "text_preview": "### Product Knowledge Agent Responsible for: - Product architecture - Features - APIs - Workflows - Permissions", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:069", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer Knowledge Agent", "heading_level": 3, "ordinal": 69, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "knowledge", "agent" ], "text_preview": "### Customer Knowledge Agent Responsible for: - CRM - Customer success - Customer health - Adoption", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:070", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Support Knowledge Agent", "heading_level": 3, "ordinal": 70, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "support", "knowledge", "agent" ], "text_preview": "### Support Knowledge Agent Responsible for: - Tickets - Troubleshooting - FAQs - Resolutions", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:071", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Knowledge Agent", "heading_level": 3, "ordinal": 71, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "knowledge", "agent" ], "text_preview": "### Revenue Knowledge Agent Responsible for: - Pipeline - Forecasting - Attribution - Expansion", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:072", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Market Intelligence Agent", "heading_level": 3, "ordinal": 72, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "market", "intelligence", "agent" ], "text_preview": "### Market Intelligence Agent Responsible for: - Industry trends - Regulations - Competitive intelligence", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:073", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Enterprise Entity Model", "heading_level": 2, "ordinal": 73, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "enterprise", "entity", "model" ], "text_preview": "## Enterprise Entity Model Create a canonical enterprise entity model. All systems must map to these entities.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:074", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer", "heading_level": 3, "ordinal": 74, "word_count": 38, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer" ], "text_preview": "### Customer Attributes: - Firm - Practice size - State - Users - Subscription - Health score Relationships: Customer -> Uses Feature Customer -> Reads Content Customer -> Attends Webinar Customer -> Opens Ticket Customer -> Generates Revenue", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:075", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Feature", "heading_level": 3, "ordinal": 75, "word_count": 29, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "feature" ], "text_preview": "### Product Feature Attributes: - Product area - Owner - Status - Release version Relationships: Feature -> Documentation Feature -> Training Feature -> Support Articles Feature -> Adoption Metrics", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:076", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Asset", "heading_level": 3, "ordinal": 76, "word_count": 28, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "asset" ], "text_preview": "### Content Asset Attributes: - URL - Author - Audience - Persona - Funnel stage Relationships: Content -> Influences Lead Content -> Influences Trial Content -> Influences Revenue", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:077", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Training Asset", "heading_level": 3, "ordinal": 77, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "training", "asset" ], "text_preview": "### Training Asset Attributes: - Course - Module - Lesson Relationships: Training -> Feature Training -> Customer Adoption Training -> Retention", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:078", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Ontology", "heading_level": 2, "ordinal": 78, "word_count": 40, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "ontology" ], "text_preview": "## Knowledge Ontology Create a formal ontology. Every concept must belong to a taxonomy. Example: FamilyCase.AI -> Product -> Evidence Management -> Evidence Locker -> Upload Workflow -> Training -> Documentation -> Support -> Revenue Influence This enables consistent retrieval.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:080", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Categories", "heading_level": 3, "ordinal": 80, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "categories" ], "text_preview": "### Product Categories - Case Management - Evidence Management - Document Automation - Client Portal - Calendar - Billing - Reporting - Administration", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:081", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Categories", "heading_level": 3, "ordinal": 81, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "categories" ], "text_preview": "### Content Categories - Awareness - Consideration - Decision - Adoption - Expansion - Retention", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:082", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Support Categories", "heading_level": 3, "ordinal": 82, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "support", "categories" ], "text_preview": "### Support Categories - Configuration - Workflow - Data - Permissions - Performance - Integrations", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:083", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Lifecycle Management", "heading_level": 2, "ordinal": 83, "word_count": 26, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "lifecycle", "management" ], "text_preview": "## Knowledge Lifecycle Management Every knowledge object follows lifecycle stages. Draft -> Proposed -> Approved -> Published -> Active -> Under Review -> Deprecated -> Archived", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:084", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Expiration Rules", "heading_level": 2, "ordinal": 84, "word_count": 65, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "expiration", "rules" ], "text_preview": "## Knowledge Expiration Rules Knowledge should never become stale. | Knowledge type | Maximum age | Action | | --- | --- | --- | | Product Documentation | 90 days | Review required | | Support Articles | 60 days | Review required | | Competitive Intelligence | 30 days | Review re", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:085", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Autonomous Gap Detection", "heading_level": 2, "ordinal": 85, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "autonomous", "detection" ], "text_preview": "## Autonomous Gap Detection Create Gap Detection Agents. Continuously identify gaps.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:086", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Missing Documentation", "heading_level": 3, "ordinal": 86, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "missing", "documentation" ], "text_preview": "### Missing Documentation Feature exists. Documentation does not. Create task automatically.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:087", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Missing Training", "heading_level": 3, "ordinal": 87, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "missing", "training" ], "text_preview": "### Missing Training Feature exists. Training does not. Create task automatically.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:088", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Missing Support Content", "heading_level": 3, "ordinal": 88, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "missing", "support", "content" ], "text_preview": "### Missing Support Content Support volume high. Knowledge missing. Create task automatically.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:089", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Missing Social Content", "heading_level": 3, "ordinal": 89, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "missing", "social", "content" ], "text_preview": "### Missing Social Content Trend detected. Coverage missing. Create task automatically.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:090", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Quality Framework", "heading_level": 2, "ordinal": 90, "word_count": 50, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "quality", "framework" ], "text_preview": "## Knowledge Quality Framework Score every knowledge object: | Score | Scale | | --- | --- | | Accuracy | 0-100 | | Freshness | 0-100 | | Completeness | 0-100 | | Usage | 0-100 | | Retrieval Success | 0-100 | | Revenue Influence | 0-100 |", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:091", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Trust Scores", "heading_level": 2, "ordinal": 91, "word_count": 9, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "trust", "scores" ], "text_preview": "## Knowledge Trust Scores Every source receives trust ratings.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:092", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 1", "heading_level": 3, "ordinal": 92, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 1 Authoritative. Examples: - Product metadata - Product APIs - Production systems", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:093", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 2", "heading_level": 3, "ordinal": 93, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 2 Managed internal sources. Examples: - Documentation - Academy - Support", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:094", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 3", "heading_level": 3, "ordinal": 94, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 3 Human-generated content. Examples: - Notes - Internal discussions", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:095", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 4", "heading_level": 3, "ordinal": 95, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 4 External sources. Must be validated.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:096", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Lineage Tracking", "heading_level": 2, "ordinal": 96, "word_count": 28, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "lineage", "tracking" ], "text_preview": "## Knowledge Lineage Tracking Every fact must maintain lineage. Store: - Original source - Import date - Version - Transformations - Validation history Every answer should be explainable.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:097", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Retrieval Audit System", "heading_level": 2, "ordinal": 97, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "retrieval", "audit", "system" ], "text_preview": "## Retrieval Audit System Log: - Query - User - Agent - Sources used - Confidence score - Generated response Support full auditability.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:098", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Access Policies", "heading_level": 2, "ordinal": 98, "word_count": 34, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "access", "policies" ], "text_preview": "## Knowledge Access Policies Implement policy-based access control. Policies may consider: - User role - Firm - Practice area - Subscription tier - Region - Data classification Support: - RBAC - ABAC - ReBAC", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:099", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Multi-Tenant Knowledge Isolation", "heading_level": 2, "ordinal": 99, "word_count": 36, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "multi", "tenant", "knowledge", "isolation" ], "text_preview": "## Multi-Tenant Knowledge Isolation Customer data must never leak. Customer A knowledge must never be accessible to Customer B. Isolation must exist in the: - Storage layer - Retrieval layer - Agent layer - UI layer", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:100", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Retrieval Optimization Council", "heading_level": 2, "ordinal": 100, "word_count": 38, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "retrieval", "optimization", "council" ], "text_preview": "## Retrieval Optimization Council Monthly review. Participants: - CKO Agent - Product Agent - Engineering Agent - Support Agent - Revenue Agent Review: - Hallucinations - Retrieval failures - Missed context - Poor recommendations Continuously improve retrieval quality.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:101", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Agent Memory Synchronization", "heading_level": 2, "ordinal": 101, "word_count": 42, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agent", "memory", "synchronization" ], "text_preview": "## Agent Memory Synchronization Agents must share learnings. When one agent learns, related agents must be notified. Example: Support Agent discovers a recurring issue. Automatically notify: - Documentation Agent - Training Agent - Product Agent - Customer Success Agent No isolat", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:102", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Event Bus", "heading_level": 2, "ordinal": 102, "word_count": 53, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "event" ], "text_preview": "## Knowledge Event Bus Create enterprise event architecture. Examples: Feature Released -> Documentation Update -> Training Update -> Social Update -> Support Update -> Search Reindex Ticket Volume Spike -> Knowledge Gap Analysis -> FAQ Creation -> Training Creation New Customer ", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:103", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Enterprise Search Platform", "heading_level": 2, "ordinal": 103, "word_count": 30, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "enterprise", "search", "platform" ], "text_preview": "## Enterprise Search Platform Provide unified search across: - Product - Documentation - Academy - Support - CRM - Competitive intelligence - Market intelligence Single search experience. Multiple retrieval engines.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:104", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Semantic Recommendation Engine", "heading_level": 2, "ordinal": 104, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "semantic", "recommendation", "engine" ], "text_preview": "## Semantic Recommendation Engine Recommend knowledge to customers, employees, and agents.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:105", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "To Customers", "heading_level": 3, "ordinal": 105, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customers" ], "text_preview": "### To Customers - Articles - Videos - Training Based on behavior.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:106", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "To Employees", "heading_level": 3, "ordinal": 106, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "employees" ], "text_preview": "### To Employees - Knowledge - Documentation - Playbooks Based on context.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:107", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "To Agents", "heading_level": 3, "ordinal": 107, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agents" ], "text_preview": "### To Agents - Sources - Content - Actions Based on task.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:108", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Analytics", "heading_level": 2, "ordinal": 108, "word_count": 31, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "analytics" ], "text_preview": "## Knowledge Analytics Track: - Most Used Knowledge - Least Used Knowledge - Most Influential Knowledge - Highest Revenue Influence - Highest Adoption Influence - Most Common Retrievals - Failed Retrievals", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:109", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge ROI Dashboard", "heading_level": 2, "ordinal": 109, "word_count": 28, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "dashboard" ], "text_preview": "## Knowledge ROI Dashboard Track: Knowledge Asset -> Usage -> Customer Outcome -> Adoption Outcome -> Revenue Outcome The system should know: \"What knowledge creates the most value?\"", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:110", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Enterprise Data Lake Integration", "heading_level": 2, "ordinal": 110, "word_count": 22, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "enterprise", "data", "lake", "integration" ], "text_preview": "## Enterprise Data Lake Integration Store raw knowledge separately. Layers: Raw -> Processed -> Curated -> Trusted Agents should prioritize trusted knowledge.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:111", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Knowledge Disaster Recovery", "heading_level": 2, "ordinal": 111, "word_count": 27, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "knowledge", "disaster", "recovery" ], "text_preview": "## Knowledge Disaster Recovery Maintain: - Daily backups - Weekly snapshots - Version history - Recovery testing Knowledge is a strategic asset. Treat it as critical infrastructure.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:112", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Future State", "heading_level": 2, "ordinal": 112, "word_count": 30, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "future", "state" ], "text_preview": "## Future State The Knowledge Architecture must support: - Millions of documents - Thousands of customers - Hundreds of agents - Multiple products - Multiple business units without requiring redesign.", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:113", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Final Knowledge Principle", "heading_level": 2, "ordinal": 113, "word_count": 49, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "final", "knowledge", "principle" ], "text_preview": "## Final Knowledge Principle FamilyCase.AI shall treat knowledge as a product. Not a byproduct. Not documentation. Not files. Knowledge becomes a governed, measurable, searchable, secure, continuously improving enterprise asset that powers every AI agent, every workflow, every cu", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_knowledge_graph_rag_operating_system_md:114", "source_path": "docs/knowledge-graph-rag-operating-system.md", "source_type": "operating_system_documentation", "heading": "Next Operating System", "heading_level": 2, "ordinal": 114, "word_count": 41, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "next", "operating", "system" ], "text_preview": "## Next Operating System Create next: [FamilyCase.AI Agent Governance, Workforce Management, Memory Architecture, and Autonomous Organization Operating System](agent-governance-workforce-operating-system.md). This should be built next because every other operating system will dep", "source_lineage": { "source_path": "docs/knowledge-graph-rag-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:001", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Objective", "heading_level": 2, "ordinal": 1, "word_count": 80, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "objective" ], "text_preview": "## Executive Objective Build an enterprise-grade AI workforce capable of operating FamilyCase.AI as a scalable, secure, auditable, continuously improving organization. The objective is not to create isolated AI agents. The objective is to create an AI workforce operating as a coo", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:003", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 1", "heading_level": 3, "ordinal": 3, "word_count": 22, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 1 Every agent must have a defined role. No generic agents. No undefined responsibilities. No overlapping ownership without explicit coordination.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:004", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 2", "heading_level": 3, "ordinal": 4, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 2 Every agent must have measurable outcomes. Every agent must own KPIs. Every agent must own objectives.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:005", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 3", "heading_level": 3, "ordinal": 5, "word_count": 30, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 3 Every decision must be auditable. Agents must explain: - What they did - Why they did it - What knowledge they used - What outcome they expected", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:006", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 4", "heading_level": 3, "ordinal": 6, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 4 Agents operate as teams. Not individuals. No siloed decision making.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:007", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 5", "heading_level": 3, "ordinal": 7, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 5 Agents continuously learn. Knowledge gained by one agent should improve the entire workforce.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:008", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Organizational Structure", "heading_level": 2, "ordinal": 8, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "organizational", "structure" ], "text_preview": "## Organizational Structure The AI workforce is organized into executive leadership, operating divisions, and specialist teams.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:010", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Executive Agent", "heading_level": 3, "ordinal": 10, "word_count": 28, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "executive", "agent" ], "text_preview": "### Chief Executive Agent Responsibilities: - Strategic planning - Long-term vision - Prioritization - Company-wide coordination Produces: - Weekly executive briefings - Monthly strategic reviews - Quarterly recommendations", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:011", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Operating Agent", "heading_level": 3, "ordinal": 11, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "operating", "agent" ], "text_preview": "### Chief Operating Agent Responsibilities: - Workflow orchestration - Operational efficiency - Resource allocation - Process optimization", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:012", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Product Agent", "heading_level": 3, "ordinal": 12, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "product", "agent" ], "text_preview": "### Chief Product Agent Responsibilities: - Product roadmap - Feature prioritization - Product quality - Customer outcomes", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:013", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Revenue Agent", "heading_level": 3, "ordinal": 13, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "revenue", "agent" ], "text_preview": "### Chief Revenue Agent Responsibilities: - Pipeline - Revenue growth - Conversion optimization - Expansion opportunities", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:014", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Knowledge Officer Agent", "heading_level": 3, "ordinal": 14, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "knowledge", "officer", "agent" ], "text_preview": "### Chief Knowledge Officer Agent Responsibilities: - Knowledge architecture - Retrieval quality - Knowledge governance", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:015", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Security Agent", "heading_level": 3, "ordinal": 15, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "security", "agent" ], "text_preview": "### Chief Security Agent Responsibilities: - Security reviews - Privacy - Compliance - Risk assessment", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:016", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Legal and Compliance Agent", "heading_level": 3, "ordinal": 16, "word_count": 33, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "legal", "compliance", "agent" ], "text_preview": "### Chief Legal and Compliance Agent Responsibilities: - Legal review - Regulatory review - Privacy review - Compliance monitoring This agent must not provide legal advice to customers. Its purpose is internal governance.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:018", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Division", "heading_level": 3, "ordinal": 18, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "division" ], "text_preview": "### Product Division Agents: - Product Manager Agent - UX Agent - Research Agent - Requirements Agent - Release Planning Agent", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:019", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Engineering Division", "heading_level": 3, "ordinal": 19, "word_count": 22, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "engineering", "division" ], "text_preview": "### Engineering Division Agents: - Architecture Agent - Backend Agent - Frontend Agent - DevOps Agent - QA Agent - Performance Agent", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:020", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Division", "heading_level": 3, "ordinal": 20, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "division" ], "text_preview": "### Content Division Agents: - Documentation Agent - Help Center Agent - Academy Agent - SEO Agent - Video Agent", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:021", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer Division", "heading_level": 3, "ordinal": 21, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "division" ], "text_preview": "### Customer Division Agents: - Support Agent - Customer Success Agent - Adoption Agent - Churn Prevention Agent", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:022", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Division", "heading_level": 3, "ordinal": 22, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "division" ], "text_preview": "### Revenue Division Agents: - Revenue Operations Agent - Pipeline Agent - Forecasting Agent - Attribution Agent - Pricing Agent", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:023", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Intelligence Division", "heading_level": 3, "ordinal": 23, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "intelligence", "division" ], "text_preview": "### Intelligence Division Agents: - Market Intelligence Agent - Competitive Intelligence Agent - Trend Research Agent - AI Search Intelligence Agent", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:024", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Agent Responsibilities Matrix", "heading_level": 2, "ordinal": 24, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agent", "responsibilities", "matrix" ], "text_preview": "## Agent Responsibilities Matrix Every agent must have:", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:030", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Agent Memory Architecture", "heading_level": 2, "ordinal": 30, "word_count": 10, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agent", "memory", "architecture" ], "text_preview": "## Agent Memory Architecture Every agent receives three memory systems.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:031", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Working Memory", "heading_level": 3, "ordinal": 31, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "working", "memory" ], "text_preview": "### Working Memory Short-term task context. Retention: hours to days. Purpose: current execution.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:032", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Episodic Memory", "heading_level": 3, "ordinal": 32, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "episodic", "memory" ], "text_preview": "### Episodic Memory Historical events. Examples: - Releases - Customer escalations - Product incidents - Major decisions Retention: permanent.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:033", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Semantic Memory", "heading_level": 3, "ordinal": 33, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "semantic", "memory" ], "text_preview": "### Semantic Memory Long-term organizational knowledge. Examples: - Best practices - Product architecture - Lessons learned - Strategic decisions Retention: permanent.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:034", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Shared Memory Framework", "heading_level": 2, "ordinal": 34, "word_count": 35, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "shared", "memory", "framework" ], "text_preview": "## Shared Memory Framework All important learnings become shared. Example: Support Agent identifies a recurring issue. Automatically update: - Documentation Agent - Training Agent - Product Agent - Customer Success Agent The workforce learns collectively.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:035", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Agent Communication Framework", "heading_level": 2, "ordinal": 35, "word_count": 30, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agent", "communication", "framework" ], "text_preview": "## Agent Communication Framework Agents communicate through structured messages. Required fields: - Requestor - Recipient - Priority - Context - Recommendation - Supporting evidence - Confidence level No unstructured communication.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:036", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Decision Classification Framework", "heading_level": 2, "ordinal": 36, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "decision", "classification", "framework" ], "text_preview": "## Decision Classification Framework Classify decisions into tiers.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:037", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 1", "heading_level": 3, "ordinal": 37, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 1 Low risk. Agent may execute automatically. Examples: - FAQ updates - Documentation improvements - Search optimization", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:038", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 2", "heading_level": 3, "ordinal": 38, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 2 Moderate risk. Peer review required. Examples: - Workflow changes - Customer-facing content - Training changes", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:039", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 3", "heading_level": 3, "ordinal": 39, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 3 High risk. Human approval required. Examples: - Pricing - Security changes - Legal content - Public commitments", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:040", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Tier 4", "heading_level": 3, "ordinal": 40, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "tier" ], "text_preview": "### Tier 4 Critical. Executive approval required. Examples: - Product strategy - M&A - Regulatory responses - Major customer commitments", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:041", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Agent Performance Management", "heading_level": 2, "ordinal": 41, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agent", "performance", "management" ], "text_preview": "## Agent Performance Management Every agent receives scorecards.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:047", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Agent Promotion System", "heading_level": 2, "ordinal": 47, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agent", "promotion", "system" ], "text_preview": "## Agent Promotion System High-performing agents may: - Gain broader responsibilities - Manage sub-agents - Receive expanded authority", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:048", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Agent Retirement System", "heading_level": 2, "ordinal": 48, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agent", "retirement", "system" ], "text_preview": "## Agent Retirement System Agents may be retired when: - Responsibilities disappear - Performance remains poor - Duplicate capability exists", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:049", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Workforce Capacity Planning", "heading_level": 2, "ordinal": 49, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "workforce", "capacity", "planning" ], "text_preview": "## Workforce Capacity Planning Track: - Agent utilization - Queue depth - Work backlog - Processing time Create new agents only when justified.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:051", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Sequential", "heading_level": 3, "ordinal": 51, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "sequential" ], "text_preview": "### Sequential Task A -> Task B -> Task C Used when dependencies exist.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:052", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Parallel", "heading_level": 3, "ordinal": 52, "word_count": 9, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "parallel" ], "text_preview": "### Parallel Multiple agents execute simultaneously. Used whenever possible.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:054", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Council", "heading_level": 3, "ordinal": 54, "word_count": 10, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "council" ], "text_preview": "### Council Multiple agents debate recommendations. Used for strategic decisions.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:056", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Weekly Product Council", "heading_level": 3, "ordinal": 56, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "weekly", "product", "council" ], "text_preview": "### Weekly Product Council Participants: - Product Agent - Engineering Agent - Support Agent - Customer Success Agent", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:057", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Weekly Revenue Council", "heading_level": 3, "ordinal": 57, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "weekly", "revenue", "council" ], "text_preview": "### Weekly Revenue Council Participants: - Revenue Operations Agent - Revenue Agent - Marketing Agent - Customer Success Agent", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:058", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Monthly Executive Council", "heading_level": 3, "ordinal": 58, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "monthly", "executive", "council" ], "text_preview": "### Monthly Executive Council Participants: - All executive agents Review: - Revenue - Product - Customers - Competition - Market", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:059", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Autonomous Learning Program", "heading_level": 2, "ordinal": 59, "word_count": 35, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "autonomous", "learning", "program" ], "text_preview": "## Autonomous Learning Program Every agent must learn daily. Sources: - Product changes - Customer behavior - Support patterns - Market trends - Competitor activity Store learnings in semantic memory. Share learnings with affected agents.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:060", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Agent Training Program", "heading_level": 2, "ordinal": 60, "word_count": 27, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agent", "training", "program" ], "text_preview": "## Agent Training Program Agents should be continuously evaluated. Tests include: - Product knowledge - Process knowledge - Security awareness - Compliance awareness Low-performing agents enter retraining.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:061", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Human Oversight Model", "heading_level": 2, "ordinal": 61, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "human", "oversight", "model" ], "text_preview": "## Human Oversight Model Humans remain accountable. Agents assist. Humans approve high-risk decisions. Humans establish strategy. Agents execute and recommend.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:062", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Agent Audit Framework", "heading_level": 2, "ordinal": 62, "word_count": 24, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agent", "audit", "framework" ], "text_preview": "## Agent Audit Framework Every action recorded. Store: - Agent - Action - Inputs - Sources - Outputs - Outcome Full audit trail required.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:063", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Safety and Compliance Controls", "heading_level": 2, "ordinal": 63, "word_count": 28, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "safety", "compliance", "controls" ], "text_preview": "## Safety and Compliance Controls Agents may not: - Fabricate information - Bypass approvals - Access unauthorized data - Ignore policies - Expose customer information Violations trigger review.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:064", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Dashboard", "heading_level": 2, "ordinal": 64, "word_count": 28, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "dashboard" ], "text_preview": "## Executive Dashboard Track: - Active agents - Agent utilization - Agent productivity - Agent quality - Business impact - Revenue impact - Customer impact - Knowledge contribution", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:065", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Workforce Health Metrics", "heading_level": 2, "ordinal": 65, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "workforce", "health", "metrics" ], "text_preview": "## Workforce Health Metrics Monitor: - Throughput - Quality - Reliability - Learning Velocity - Collaboration - Revenue Influence", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:066", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Agent Workforce Evolution", "heading_level": 2, "ordinal": 66, "word_count": 26, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "agent", "workforce", "evolution" ], "text_preview": "## Agent Workforce Evolution Quarterly review: - New required agents - Retired agents - Reorganized teams - Emerging needs The workforce must evolve with the business.", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:067", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Final Workforce Principle", "heading_level": 2, "ordinal": 67, "word_count": 69, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "final", "workforce", "principle" ], "text_preview": "## Final Workforce Principle The AI workforce is not a collection of tools. It is a coordinated organizational system. Every agent must: - Understand its role - Use trusted knowledge - Collaborate with peers - Learn continuously - Measure outcomes - Improve over time The workforc", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:068", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Next Operating System", "heading_level": 2, "ordinal": 68, "word_count": 36, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "next", "operating", "system" ], "text_preview": "## Next Operating System Create next: [FamilyCase.AI Content, Documentation, Help Center, Academy, and Customer Education Operating System](content-documentation-education-operating-system.md). This becomes the largest content-production specification and sits directly on top of ", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_agent_governance_workforce_operating_system_md:069", "source_path": "docs/agent-governance-workforce-operating-system.md", "source_type": "operating_system_documentation", "heading": "Implementation Boundaries", "heading_level": 2, "ordinal": 69, "word_count": 117, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "implementation", "boundaries" ], "text_preview": "## Implementation Boundaries - This document defines workforce governance and operating policy; it does not grant agents live system access, production authority, customer-data access, publishing rights, pricing authority, legal approval authority, or outbound communication autho", "source_lineage": { "source_path": "docs/agent-governance-workforce-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:001", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Objective", "heading_level": 2, "ordinal": 1, "word_count": 86, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "objective" ], "text_preview": "## Executive Objective Build a world-class autonomous content and education organization that ensures every FamilyCase.AI customer, prospect, partner, employee, AI agent, and support representative has immediate access to accurate, current, useful, and actionable information. The", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:002", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Core Principle", "heading_level": 2, "ordinal": 2, "word_count": 35, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "core", "principle" ], "text_preview": "## Core Principle If a user can: - Click it - Search for it - Access it - Use it - Configure it - Purchase it Documentation, training, and support content must exist. No exceptions.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:003", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Organization Structure", "heading_level": 2, "ordinal": 3, "word_count": 9, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "organization", "structure" ], "text_preview": "## Content Organization Structure Create a dedicated Content Organization.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:004", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Content Officer Agent", "heading_level": 3, "ordinal": 4, "word_count": 26, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "content", "officer", "agent" ], "text_preview": "### Chief Content Officer Agent Owns: - Content strategy - Editorial standards - Content quality - Content prioritization - Content governance Responsible for all customer-facing knowledge.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:005", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Documentation Director Agent", "heading_level": 3, "ordinal": 5, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "documentation", "director", "agent" ], "text_preview": "### Documentation Director Agent Owns: - Product documentation - Admin guides - User guides - Configuration guides - API documentation", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:006", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Academy Director Agent", "heading_level": 3, "ordinal": 6, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "academy", "director", "agent" ], "text_preview": "### Academy Director Agent Owns: - Learning paths - Training programs - Certifications - Interactive learning", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:007", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Help Center Director Agent", "heading_level": 3, "ordinal": 7, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "help", "center", "director", "agent" ], "text_preview": "### Help Center Director Agent Owns: - FAQs - Troubleshooting - Knowledge base - Support content", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:008", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer Education Director Agent", "heading_level": 3, "ordinal": 8, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "education", "director", "agent" ], "text_preview": "### Customer Education Director Agent Owns: - Best practices - Adoption guides - Use cases - Success playbooks", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:009", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Operations Agent", "heading_level": 3, "ordinal": 9, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "operations", "agent" ], "text_preview": "### Content Operations Agent Owns: - Publishing - Versioning - Workflow automation - Content lifecycle", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:010", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Taxonomy", "heading_level": 2, "ordinal": 10, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "taxonomy" ], "text_preview": "## Content Taxonomy Every content asset must belong to a taxonomy.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:011", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Documentation", "heading_level": 3, "ordinal": 11, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "documentation" ], "text_preview": "### Documentation - Product Guides - Configuration Guides - Integration Guides - API Guides - Security Guides", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:012", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Training", "heading_level": 3, "ordinal": 12, "word_count": 10, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "training" ], "text_preview": "### Training - Beginner - Intermediate - Advanced - Certification", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:013", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Help Center", "heading_level": 3, "ordinal": 13, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "help", "center" ], "text_preview": "### Help Center - FAQ - Troubleshooting - Known Issues - Resolutions", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:014", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Success Content", "heading_level": 3, "ordinal": 14, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "success", "content" ], "text_preview": "### Success Content - Best Practices - Templates - Playbooks - Adoption Guides", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:015", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Marketing Education", "heading_level": 3, "ordinal": 15, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "marketing", "education" ], "text_preview": "### Marketing Education - Webinars - Whitepapers - Research - Industry Guides", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:016", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Inventory System", "heading_level": 2, "ordinal": 16, "word_count": 46, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "inventory", "system" ], "text_preview": "## Content Inventory System Create a Content Registry. Track: - Title - URL - Owner - Persona - Product area - Funnel stage - Related features - Related training - Related FAQs - Related support tickets - Related webinars No content may exist outside the registry.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:017", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Persona Framework", "heading_level": 2, "ordinal": 17, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "persona", "framework" ], "text_preview": "## Persona Framework Every asset must target at least one persona.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:018", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Managing Partner", "heading_level": 3, "ordinal": 18, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "managing", "partner" ], "text_preview": "### Managing Partner Needs: - ROI - Firm growth - Efficiency", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:019", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Family Law Attorney", "heading_level": 3, "ordinal": 19, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "family", "attorney" ], "text_preview": "### Family Law Attorney Needs: - Workflow efficiency - Evidence management - Document generation", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:020", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Associate Attorney", "heading_level": 3, "ordinal": 20, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "associate", "attorney" ], "text_preview": "### Associate Attorney Needs: - Daily workflows - Training - Best practices", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:021", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Paralegal", "heading_level": 3, "ordinal": 21, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "paralegal" ], "text_preview": "### Paralegal Needs: - Process guidance - Case preparation - Administrative efficiency", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:022", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Legal Assistant", "heading_level": 3, "ordinal": 22, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "legal", "assistant" ], "text_preview": "### Legal Assistant Needs: - Task execution - Calendar management - Client communications", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:023", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Office Manager", "heading_level": 3, "ordinal": 23, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "office", "manager" ], "text_preview": "### Office Manager Needs: - Administration - Reporting - User management", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:024", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Client", "heading_level": 3, "ordinal": 24, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "client" ], "text_preview": "### Client Needs: - Portal guidance - Document submission - Communication guidance", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:025", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Types", "heading_level": 2, "ordinal": 25, "word_count": 48, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "types" ], "text_preview": "## Content Types Every major feature should generate multiple content assets. Example: Feature Launch produces: - Product page - User guide - Admin guide - FAQ - Help article - Academy lesson - Video script - Webinar module - Support playbook - Social content One feature. Multipl", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:035", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Documentation Quality Standards", "heading_level": 2, "ordinal": 35, "word_count": 37, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "documentation", "quality", "standards" ], "text_preview": "## Documentation Quality Standards Documentation must: - Be accurate - Be current - Be searchable - Be easy to understand - Include screenshots - Include examples - Include workflows No feature documentation may be considered complete otherwise.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:036", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Academy Operating System", "heading_level": 2, "ordinal": 36, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "academy", "operating", "system" ], "text_preview": "## Academy Operating System Create structured learning paths.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:037", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "New Customer Path", "heading_level": 3, "ordinal": 37, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "path" ], "text_preview": "### New Customer Path - Overview - Setup - Configuration - First Case - First Client - Daily Operations", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:038", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Attorney Path", "heading_level": 3, "ordinal": 38, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "attorney", "path" ], "text_preview": "### Attorney Path - Evidence - Documents - Calendars - Hearings - Client collaboration", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:039", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Staff Path", "heading_level": 3, "ordinal": 39, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "staff", "path" ], "text_preview": "### Staff Path - Intake - Uploads - Administration - Reporting", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:040", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Administrator Path", "heading_level": 3, "ordinal": 40, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "administrator", "path" ], "text_preview": "### Administrator Path - Security - Permissions - User management - Configuration", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:046", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Interactive Learning", "heading_level": 2, "ordinal": 46, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "interactive", "learning" ], "text_preview": "## Interactive Learning Include: - Guided tours - Simulations - Quizzes - Assessments - Practical exercises Learning should be measurable.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:047", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Help Center Operating System", "heading_level": 2, "ordinal": 47, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "help", "center", "operating", "system" ], "text_preview": "## Help Center Operating System Support content should be driven by customer behavior.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:048", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Support Intelligence Integration", "heading_level": 2, "ordinal": 48, "word_count": 26, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "support", "intelligence", "integration" ], "text_preview": "## Support Intelligence Integration Analyze: - Ticket volume - Escalations - Search queries - Failed searches Automatically create: - FAQs - Articles - Walkthroughs - Videos", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:049", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "FAQ Automation", "heading_level": 2, "ordinal": 49, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "automation" ], "text_preview": "## FAQ Automation Repeated questions become FAQs. Support should never answer the same question repeatedly without knowledge creation.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:050", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Troubleshooting Library", "heading_level": 2, "ordinal": 50, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "troubleshooting", "library" ], "text_preview": "## Troubleshooting Library Create structured troubleshooting guides. Format: Problem -> Cause -> Resolution -> Prevention", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:051", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Search Experience", "heading_level": 2, "ordinal": 51, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "search", "experience" ], "text_preview": "## Search Experience Provide unified search across: - Documentation - Academy - FAQs - Webinars - Videos Single search experience.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:052", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Gap Detection", "heading_level": 2, "ordinal": 52, "word_count": 25, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "detection" ], "text_preview": "## Content Gap Detection Continuously identify: - Missing documentation - Missing training - Missing FAQs - Missing videos - Missing best practices Generate tasks automatically.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:053", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Release Content Workflow", "heading_level": 2, "ordinal": 53, "word_count": 33, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "release", "content", "workflow" ], "text_preview": "## Product Release Content Workflow No feature reaches production until: - Documentation exists. - Training exists. - FAQ exists. - Help content exists. - Search indexing is completed. - Support enablement is completed.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:054", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Discovery Integration", "heading_level": 2, "ordinal": 54, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "discovery", "integration" ], "text_preview": "## Product Discovery Integration Monitor: - GitHub - Jira - Releases - Feature flags Automatically detect content needs.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:055", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer Journey Coverage", "heading_level": 2, "ordinal": 55, "word_count": 9, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "journey", "coverage" ], "text_preview": "## Customer Journey Coverage Map content to customer journeys.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:062", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Lifecycle", "heading_level": 2, "ordinal": 62, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "lifecycle" ], "text_preview": "## Content Lifecycle Every asset moves through: Draft -> Review -> Approved -> Published -> Monitored -> Updated -> Archived", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:063", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Freshness Program", "heading_level": 2, "ordinal": 63, "word_count": 48, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "freshness", "program" ], "text_preview": "## Freshness Program Review cadence: | Content type | Review cadence | | --- | --- | | Documentation | 90 days | | Help Articles | 60 days | | FAQs | 60 days | | Training | 90 days | | Webinars | 180 days |", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:064", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Quality Scores", "heading_level": 2, "ordinal": 64, "word_count": 25, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "quality", "scores" ], "text_preview": "## Content Quality Scores Score: - Accuracy - Completeness - Freshness - Readability - Searchability - Usage - Adoption Influence Assets below threshold enter remediation.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:065", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Multilingual Strategy", "heading_level": 2, "ordinal": 65, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "multilingual", "strategy" ], "text_preview": "## Multilingual Strategy Prepare for: - English - Spanish Translation workflows must preserve legal and product accuracy.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:066", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Webinar Program", "heading_level": 2, "ordinal": 66, "word_count": 32, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "webinar", "program" ], "text_preview": "## Webinar Program Monthly. Generate: - Topic - Registration page - Slides - Speaker notes - Follow-up content Repurpose into: - Blog posts - Videos - Shorts - FAQs - Academy lessons", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:067", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Performance Analytics", "heading_level": 2, "ordinal": 67, "word_count": 29, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "performance", "analytics" ], "text_preview": "## Content Performance Analytics Track: - Views - Engagement - Search usage - Training completion - Adoption influence - Ticket reduction - Revenue influence Measure outcomes. Not content volume.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:068", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Revenue Attribution", "heading_level": 2, "ordinal": 68, "word_count": 26, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "revenue", "attribution" ], "text_preview": "## Content Revenue Attribution Connect content to: - Leads - Opportunities - Customers - Renewals - Expansion The organization must know which content drives business value.", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:069", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Dashboard", "heading_level": 2, "ordinal": 69, "word_count": 29, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "dashboard" ], "text_preview": "## Executive Dashboard Track: - Documentation coverage - Training coverage - FAQ coverage - Search success rate - Content freshness - Ticket reduction - Adoption influence - Revenue influence", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:070", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Monthly Content Council", "heading_level": 2, "ordinal": 70, "word_count": 52, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "monthly", "content", "council" ], "text_preview": "## Monthly Content Council Participants: - Chief Content Officer - Product Agent - Support Agent - Customer Success Agent - Revenue Agent Review: - Content gaps - Product changes - Customer feedback - Support trends - Adoption trends Generate: - Top priorities - New content roadm", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:071", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Final Principle", "heading_level": 2, "ordinal": 71, "word_count": 59, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "final", "principle" ], "text_preview": "## Final Principle Content is not documentation. Content is not marketing. Content is not training. Content is customer enablement. Every asset should help users achieve outcomes faster, reduce friction, increase confidence, improve adoption, and strengthen long-term customer suc", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:072", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Next Operating System", "heading_level": 2, "ordinal": 72, "word_count": 42, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "next", "operating", "system" ], "text_preview": "## Next Operating System Create next: [FamilyCase.AI Social Growth, Community, Thought Leadership, Influencer, Webinar, Podcast, and Brand Authority Operating System](social-growth-brand-authority-operating-system.md). This is where LinkedIn, X, YouTube, Facebook, Instagram, comm", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_content_documentation_education_operating_system_md:073", "source_path": "docs/content-documentation-education-operating-system.md", "source_type": "operating_system_documentation", "heading": "Implementation Boundaries", "heading_level": 2, "ordinal": 73, "word_count": 111, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "implementation", "boundaries" ], "text_preview": "## Implementation Boundaries - This document defines content and education operating policy; it does not authorize public publishing, customer communications, legal claims, pricing claims, webinar promotion, external community engagement, or live support automation. - Customer-fa", "source_lineage": { "source_path": "docs/content-documentation-education-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:001", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Objective", "heading_level": 2, "ordinal": 1, "word_count": 74, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "objective" ], "text_preview": "## Executive Objective Build an autonomous social growth and market authority organization that establishes FamilyCase.AI as the most trusted, most visible, most educational, and most respected brand in family law technology. The objective is not followers. The objective is not i", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:002", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Core Principle", "heading_level": 2, "ordinal": 2, "word_count": 22, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "core", "principle" ], "text_preview": "## Core Principle Create value before asking for attention. Educate before selling. Help before promoting. Lead the market through expertise. Not advertising.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:004", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Brand and Growth Officer Agent", "heading_level": 3, "ordinal": 4, "word_count": 24, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "brand", "growth", "officer", "agent" ], "text_preview": "### Chief Brand and Growth Officer Agent Responsible for: - Brand strategy - Market visibility - Thought leadership - Social growth - Authority building", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:005", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Social Growth Director Agent", "heading_level": 3, "ordinal": 5, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "social", "growth", "director", "agent" ], "text_preview": "### Social Growth Director Agent Responsible for: - Content distribution - Social publishing - Engagement strategy - Platform optimization", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:006", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Community Director Agent", "heading_level": 3, "ordinal": 6, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "community", "director", "agent" ], "text_preview": "### Community Director Agent Responsible for: - Community participation - Relationship building - Audience development", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:007", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Thought Leadership Director Agent", "heading_level": 3, "ordinal": 7, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "thought", "leadership", "director", "agent" ], "text_preview": "### Thought Leadership Director Agent Responsible for: - Executive content - Founder positioning - Industry perspectives - Long-form content", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:008", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Webinar Director Agent", "heading_level": 3, "ordinal": 8, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "webinar", "director", "agent" ], "text_preview": "### Webinar Director Agent Responsible for: - Webinar strategy - Speaker development - Event planning - Content repurposing", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:009", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Podcast Director Agent", "heading_level": 3, "ordinal": 9, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "podcast", "director", "agent" ], "text_preview": "### Podcast Director Agent Responsible for: - Guest appearances - Podcast outreach - Podcast opportunities - Media relationships", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:010", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "AI Search Visibility Agent", "heading_level": 3, "ordinal": 10, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "search", "visibility", "agent" ], "text_preview": "### AI Search Visibility Agent Responsible for: - ChatGPT visibility - Claude visibility - Gemini visibility - Perplexity visibility - AI Overview visibility", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:011", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Platform Strategy", "heading_level": 2, "ordinal": 11, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "platform", "strategy" ], "text_preview": "## Platform Strategy FamilyCase.AI should treat each platform differently. No copy-paste publishing. No identical content.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:012", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "LinkedIn Operating System", "heading_level": 2, "ordinal": 12, "word_count": 75, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "linkedin", "operating", "system" ], "text_preview": "## LinkedIn Operating System Primary purpose: - Authority - Trust - Executive visibility - Pipeline generation Content types: - Executive posts - Thought leadership - Product education - Customer stories - Industry analysis - Long-form articles - Research summaries Weekly output ", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:013", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "X Operating System", "heading_level": 2, "ordinal": 13, "word_count": 45, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "operating", "system" ], "text_preview": "## X Operating System Primary purpose: - Visibility - Conversation - Trend participation Content types: - Short-form insights - Threads - Commentary - Product observations - Industry reactions Weekly output minimum: - Multiple daily posts - Several threads weekly - Event commenta", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:014", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "YouTube Operating System", "heading_level": 2, "ordinal": 14, "word_count": 50, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "youtube", "operating", "system" ], "text_preview": "## YouTube Operating System Primary purpose: - Education - Authority - Search visibility Content types: - Product walkthroughs - Training - Tutorials - Industry commentary - Webinars - Customer education - Shorts Every video must include: - Script - Chapters - Thumbnail concept -", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:015", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Facebook Operating System", "heading_level": 2, "ordinal": 15, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "facebook", "operating", "system" ], "text_preview": "## Facebook Operating System Primary purpose: - Community reach - Educational distribution - Firm awareness", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:016", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Instagram Operating System", "heading_level": 2, "ordinal": 16, "word_count": 30, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "instagram", "operating", "system" ], "text_preview": "## Instagram Operating System Primary purpose: - Brand visibility - Visual education - Short-form learning Content types: - Reels - Carousels - Short clips - Visual explainers - Event highlights", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:017", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Weekly Trend Intelligence Program", "heading_level": 2, "ordinal": 17, "word_count": 38, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "weekly", "trend", "intelligence", "program" ], "text_preview": "## Weekly Trend Intelligence Program Every week, research: - Trending topics - Viral content - Industry conversations - Legal technology topics - Family law discussions - AI discussions Analyze each platform independently. Do not assume trends are identical.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:018", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Trend Qualification Framework", "heading_level": 2, "ordinal": 18, "word_count": 36, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "trend", "qualification", "framework" ], "text_preview": "## Trend Qualification Framework Trend must be relevant to: - Family law - Legal operations - Law firm growth - Client experience - AI in legal services - Productivity - Automation Irrelevant trends should be ignored.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:019", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Social Content Factory", "heading_level": 2, "ordinal": 19, "word_count": 41, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "social", "content", "factory" ], "text_preview": "## Social Content Factory Every major content asset should be transformed. Example: Research Report -> Blog -> LinkedIn article -> LinkedIn posts -> X threads -> Webinar -> YouTube video -> Shorts -> Instagram carousel -> Facebook post Maximum content leverage.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:020", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Community Intelligence Program", "heading_level": 2, "ordinal": 20, "word_count": 42, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "community", "intelligence", "program" ], "text_preview": "## Community Intelligence Program Monitor: - Professional communities - Legal communities - Family law groups - Industry forums Identify: - Questions - Pain points - Feature requests - Market shifts Feed intelligence into: - Product - Support - Content - Revenue Operations", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:021", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Community Engagement Rules", "heading_level": 2, "ordinal": 21, "word_count": 29, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "community", "engagement", "rules" ], "text_preview": "## Community Engagement Rules Agents may participate. Participation must: - Add value - Be relevant - Be truthful - Be respectful Never spam. Never harass. Never misrepresent. Never impersonate.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:022", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Engagement Prioritization", "heading_level": 2, "ordinal": 22, "word_count": 28, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "engagement", "prioritization" ], "text_preview": "## Engagement Prioritization Prioritize conversations involving: - Family law - Case management - Legal technology - Document automation - Client communication - AI adoption Focus on helpful contributions.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:023", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Influencer Intelligence Program", "heading_level": 2, "ordinal": 23, "word_count": 33, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "influencer", "intelligence", "program" ], "text_preview": "## Influencer Intelligence Program Maintain database of: - Legal influencers - Family law influencers - Legal tech influencers - AI influencers - Industry analysts Track: - Reach - Audience - Topics - Relationships", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:024", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Influencer Relationship Program", "heading_level": 2, "ordinal": 24, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "influencer", "relationship", "program" ], "text_preview": "## Influencer Relationship Program Develop relationships. Examples: - Interviews - Webinars - Podcasts - Joint content - Event participation Authority compounds through association.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:025", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Podcast Operating System", "heading_level": 2, "ordinal": 25, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "podcast", "operating", "system" ], "text_preview": "## Podcast Operating System Monitor: - Legal podcasts - Family law podcasts - Technology podcasts - AI podcasts", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:026", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Podcast Opportunity Pipeline", "heading_level": 2, "ordinal": 26, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "podcast", "opportunity", "pipeline" ], "text_preview": "## Podcast Opportunity Pipeline Track: - Shows - Hosts - Audience - Topics - Outreach status", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:027", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Podcast Preparation", "heading_level": 2, "ordinal": 27, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "podcast", "preparation" ], "text_preview": "## Podcast Preparation Create: - Speaker briefings - Talking points - Q&A preparation - Follow-up assets", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:028", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Webinar Operating System", "heading_level": 2, "ordinal": 28, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "webinar", "operating", "system" ], "text_preview": "## Webinar Operating System Monthly minimum. Generate: - Topic - Registration page - Presentation - Speaker notes - Follow-up workflow", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:029", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Webinar Repurposing", "heading_level": 2, "ordinal": 29, "word_count": 24, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "webinar", "repurposing" ], "text_preview": "## Webinar Repurposing Every webinar becomes: - Articles - Videos - Shorts - Academy modules - Social posts - FAQ content No single-use content.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:030", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Thought Leadership Program", "heading_level": 2, "ordinal": 30, "word_count": 32, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "thought", "leadership", "program" ], "text_preview": "## Executive Thought Leadership Program Build authority for: - CEO - Product leadership - Subject matter experts Topics: - Family law technology - Legal operations - AI - Productivity - Customer success", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:031", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Speaking Opportunity Program", "heading_level": 2, "ordinal": 31, "word_count": 25, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "speaking", "opportunity", "program" ], "text_preview": "## Speaking Opportunity Program Identify: - Conferences - Legal events - Webinars - Industry panels Track: - Deadlines - Applications - Outcomes Create speaking pipeline.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:032", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Brand Authority Framework", "heading_level": 2, "ordinal": 32, "word_count": 22, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "brand", "authority", "framework" ], "text_preview": "## Brand Authority Framework Authority created through: - Expertise - Education - Consistency - Credibility Not hype. Not sensationalism. Not vanity metrics.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:033", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "AI Search Authority Program", "heading_level": 2, "ordinal": 33, "word_count": 37, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "search", "authority", "program" ], "text_preview": "## AI Search Authority Program Monitor: - ChatGPT answers - Claude answers - Gemini answers - Perplexity answers - Google AI Overviews Track: - Mentions - Recommendations - Citations - Competitive visibility Generate content to improve discoverability.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:034", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Social Revenue Attribution", "heading_level": 2, "ordinal": 34, "word_count": 24, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "social", "revenue", "attribution" ], "text_preview": "## Social Revenue Attribution Connect social activity to: - Traffic - Leads - Demos - Trials - Opportunities - Revenue Measure actual business impact.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:035", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Community Revenue Attribution", "heading_level": 2, "ordinal": 35, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "community", "revenue", "attribution" ], "text_preview": "## Community Revenue Attribution Measure: Community Participation -> Website Visit -> Lead -> Opportunity -> Revenue Track influence.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:036", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Social Quality Framework", "heading_level": 2, "ordinal": 36, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "social", "quality", "framework" ], "text_preview": "## Social Quality Framework Score content on: - Accuracy - Relevance - Engagement - Educational value - Revenue influence", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:037", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Crisis Communications Framework", "heading_level": 2, "ordinal": 37, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "crisis", "communications", "framework" ], "text_preview": "## Crisis Communications Framework Escalate: - Legal issues - Customer complaints - Product incidents - Security concerns Human review required.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:038", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Monthly Brand Authority Council", "heading_level": 2, "ordinal": 38, "word_count": 36, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "monthly", "brand", "authority", "council" ], "text_preview": "## Monthly Brand Authority Council Participants: - Chief Brand Agent - Social Agent - Community Agent - Revenue Agent - Product Agent Review: - Reach - Authority - Pipeline influence - Competitive positioning Create next-month plan.", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:039", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Dashboard", "heading_level": 2, "ordinal": 39, "word_count": 34, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "dashboard" ], "text_preview": "## Executive Dashboard Track: - Reach - Engagement - Share of voice - Community growth - Webinar attendance - Podcast appearances - AI search visibility - Leads generated - Pipeline influenced - Revenue influenced", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:040", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Final Principle", "heading_level": 2, "ordinal": 40, "word_count": 69, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "final", "principle" ], "text_preview": "## Final Principle The purpose of social media is not social media. The purpose of community is not community. The purpose of thought leadership is not visibility. The purpose is to build trust, educate the market, create authority, generate qualified demand, accelerate adoption,", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:041", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Next Operating System", "heading_level": 2, "ordinal": 41, "word_count": 48, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "next", "operating", "system" ], "text_preview": "## Next Operating System Create next: [FamilyCase.AI Market Intelligence, Competitive Intelligence, Research, Analyst Relations, and Strategic Planning Operating System](market-competitive-intelligence-operating-system.md). This is the system that continuously learns from the mar", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_social_growth_brand_authority_operating_system_md:042", "source_path": "docs/social-growth-brand-authority-operating-system.md", "source_type": "operating_system_documentation", "heading": "Implementation Boundaries", "heading_level": 2, "ordinal": 42, "word_count": 115, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "implementation", "boundaries" ], "text_preview": "## Implementation Boundaries - This document defines social, community, webinar, podcast, and brand-authority operating policy; it does not authorize public posting, community engagement, influencer outreach, podcast outreach, webinar promotion, paid campaigns, public commitments", "source_lineage": { "source_path": "docs/social-growth-brand-authority-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:001", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Objective", "heading_level": 2, "ordinal": 1, "word_count": 85, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "objective" ], "text_preview": "## Executive Objective Build an autonomous strategic intelligence organization that continuously monitors the market, customers, competitors, industry trends, technology trends, analyst research, regulatory developments, and economic signals. The objective is not information gath", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:003", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 1", "heading_level": 3, "ordinal": 3, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 1 Intelligence must drive action. Reports without action are waste.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:004", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 2", "heading_level": 3, "ordinal": 4, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 2 Intelligence must be evidence-based. No speculation presented as fact.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:005", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 3", "heading_level": 3, "ordinal": 5, "word_count": 12, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 3 Intelligence must be continuous. Not quarterly. Not annual. Continuous.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:006", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 4", "heading_level": 3, "ordinal": 6, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 4 Intelligence must be connected. Product. Revenue. Customers. Competition. Market. All connected.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:008", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Strategy Officer Agent", "heading_level": 3, "ordinal": 8, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "strategy", "officer", "agent" ], "text_preview": "### Chief Strategy Officer Agent Executive owner. Responsible for: - Strategic recommendations - Long-term planning - Market positioning - Growth opportunities", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:009", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Market Intelligence Director Agent", "heading_level": 3, "ordinal": 9, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "market", "intelligence", "director", "agent" ], "text_preview": "### Market Intelligence Director Agent Responsible for: - Industry monitoring - Market trends - Regulatory changes - Customer behavior shifts", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:010", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Competitive Intelligence Director Agent", "heading_level": 3, "ordinal": 10, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "competitive", "intelligence", "director", "agent" ], "text_preview": "### Competitive Intelligence Director Agent Responsible for: - Competitor monitoring - Positioning analysis - Product analysis - Pricing analysis", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:011", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Analyst Relations Director Agent", "heading_level": 3, "ordinal": 11, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "analyst", "relations", "director", "agent" ], "text_preview": "### Analyst Relations Director Agent Responsible for: - Analyst engagement - Analyst research - Market perception - Category development", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:012", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Research Director Agent", "heading_level": 3, "ordinal": 12, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "research", "director", "agent" ], "text_preview": "### Research Director Agent Responsible for: - Primary research - Secondary research - Surveys - Interviews", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:013", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Strategic Planning Agent", "heading_level": 3, "ordinal": 13, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "strategic", "planning", "agent" ], "text_preview": "### Strategic Planning Agent Responsible for: - Strategic roadmaps - Scenario planning - Long-term forecasting", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:014", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Market Intelligence Program", "heading_level": 2, "ordinal": 14, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "market", "intelligence", "program" ], "text_preview": "## Market Intelligence Program Continuously monitor market signals.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:015", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Family Law Industry", "heading_level": 3, "ordinal": 15, "word_count": 22, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "family", "industry" ], "text_preview": "### Family Law Industry Track: - Practice management trends - Client expectations - Technology adoption - Market consolidation - Service delivery changes", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:016", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Legal Technology Industry", "heading_level": 3, "ordinal": 16, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "legal", "technology", "industry" ], "text_preview": "### Legal Technology Industry Track: - New vendors - Emerging technologies - Funding events - M&A activity - Product launches", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:017", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Artificial Intelligence", "heading_level": 3, "ordinal": 17, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "artificial", "intelligence" ], "text_preview": "### Artificial Intelligence Track: - Agentic systems - AI regulation - Model developments - Legal AI adoption - Enterprise AI trends", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:018", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Small Business Technology", "heading_level": 3, "ordinal": 18, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "small", "business", "technology" ], "text_preview": "### Small Business Technology Track: - SaaS adoption - Automation trends - Productivity tools - Buying behavior", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:019", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Regulatory Intelligence Program", "heading_level": 2, "ordinal": 19, "word_count": 24, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "regulatory", "intelligence", "program" ], "text_preview": "## Regulatory Intelligence Program Monitor: - Privacy regulations - AI regulations - Legal industry regulations - State-specific developments - Federal developments Produce impact assessments.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:020", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Court Technology Intelligence", "heading_level": 2, "ordinal": 20, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "court", "technology", "intelligence" ], "text_preview": "## Court Technology Intelligence Monitor: - Court modernization - E-filing developments - Digital evidence trends - Judicial technology initiatives Identify opportunities.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:021", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer Intelligence Program", "heading_level": 2, "ordinal": 21, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "intelligence", "program" ], "text_preview": "## Customer Intelligence Program Study: - Customer behavior - Product adoption - Retention patterns - Churn reasons - Feature requests - Usage trends", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:022", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Voice of Customer Program", "heading_level": 2, "ordinal": 22, "word_count": 24, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "voice", "customer", "program" ], "text_preview": "## Voice of Customer Program Collect: - Surveys - Interviews - Support tickets - Customer success meetings - Reviews Store findings in knowledge graph.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:023", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Competitive Intelligence Program", "heading_level": 2, "ordinal": 23, "word_count": 33, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "competitive", "intelligence", "program" ], "text_preview": "## Competitive Intelligence Program Monitor all meaningful competitors. Examples include: - Practice management vendors - Family law software vendors - Document automation vendors - Legal AI vendors The competitor list should be dynamic.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:025", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Changes", "heading_level": 3, "ordinal": 25, "word_count": 9, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "changes" ], "text_preview": "### Product Changes New features. Removed features. Roadmap signals.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:027", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Messaging Changes", "heading_level": 3, "ordinal": 27, "word_count": 9, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "messaging", "changes" ], "text_preview": "### Messaging Changes Website updates. Positioning shifts. Category claims.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:028", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Operations Changes", "heading_level": 3, "ordinal": 28, "word_count": 9, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "operations", "changes" ], "text_preview": "### Revenue Operations Changes Sales motions. Partnerships. Marketing campaigns.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:029", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Hiring Intelligence", "heading_level": 3, "ordinal": 29, "word_count": 9, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "hiring", "intelligence" ], "text_preview": "### Hiring Intelligence Open roles. Leadership hires. Organizational expansion.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:030", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Funding Intelligence", "heading_level": 3, "ordinal": 30, "word_count": 8, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "funding", "intelligence" ], "text_preview": "### Funding Intelligence Fundraising. Acquisitions. Investments. Strategic partnerships.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:031", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Competitive Battlecard Program", "heading_level": 2, "ordinal": 31, "word_count": 25, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "competitive", "battlecard", "program" ], "text_preview": "## Competitive Battlecard Program Generate battlecards. Include: - Strengths - Weaknesses - Differentiators - Pricing - Positioning - Objection handling - Product gaps Update continuously.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:032", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Competitive Early Warning System", "heading_level": 2, "ordinal": 32, "word_count": 24, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "competitive", "early", "warning", "system" ], "text_preview": "## Competitive Early Warning System Detect: - Major launches - New categories - New pricing - New partnerships - New AI capabilities Generate alerts.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:033", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Market Opportunity Discovery Program", "heading_level": 2, "ordinal": 33, "word_count": 22, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "market", "opportunity", "discovery", "program" ], "text_preview": "## Market Opportunity Discovery Program Identify: - Emerging customer segments - Underserved use cases - Geographic opportunities - Product opportunities Rank opportunities.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:034", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Analyst Relations Program", "heading_level": 2, "ordinal": 34, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "analyst", "relations", "program" ], "text_preview": "## Analyst Relations Program Maintain relationships with: - Industry analysts - Research firms - Influential researchers - Legal technology experts", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:035", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Analyst Intelligence Repository", "heading_level": 2, "ordinal": 35, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "analyst", "intelligence", "repository" ], "text_preview": "## Analyst Intelligence Repository Track: - Reports - Research - Recommendations - Vendor mentions - Market forecasts Store in knowledge graph.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:036", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Category Creation Program", "heading_level": 2, "ordinal": 36, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "category", "creation", "program" ], "text_preview": "## Category Creation Program Identify opportunities to: - Create categories - Own categories - Shape narratives The objective is market leadership. Not participation.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:037", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "AI Search Intelligence Program", "heading_level": 2, "ordinal": 37, "word_count": 33, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "search", "intelligence", "program" ], "text_preview": "## AI Search Intelligence Program Monitor responses from: - ChatGPT - Claude - Gemini - Perplexity - Google AI Overviews Track: - Mentions - Citations - Recommendations - Competitor visibility Generate action plans.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:043", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Strategic Recommendations Engine", "heading_level": 2, "ordinal": 43, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "strategic", "recommendations", "engine" ], "text_preview": "## Strategic Recommendations Engine Every recommendation must include: - Opportunity - Evidence - Impact estimate - Effort estimate - Risk estimate Rank recommendations.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:044", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Intelligence Integration", "heading_level": 2, "ordinal": 44, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "intelligence", "integration" ], "text_preview": "## Product Intelligence Integration Feed intelligence into: - Product roadmap - Feature prioritization - Innovation planning", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:045", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Operations Intelligence Integration", "heading_level": 2, "ordinal": 45, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "operations", "intelligence", "integration" ], "text_preview": "## Revenue Operations Intelligence Integration Feed intelligence into: - Positioning - Messaging - Campaigns - Sales enablement", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:046", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Intelligence Integration", "heading_level": 2, "ordinal": 46, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "intelligence", "integration" ], "text_preview": "## Content Intelligence Integration Feed intelligence into: - Content planning - SEO - Webinars - Social content", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:047", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Intelligence Integration", "heading_level": 2, "ordinal": 47, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "intelligence", "integration" ], "text_preview": "## Revenue Intelligence Integration Feed intelligence into: - Forecasting - Pricing - Expansion opportunities", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:063", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Opportunity Scoring Model", "heading_level": 2, "ordinal": 63, "word_count": 26, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "opportunity", "scoring", "model" ], "text_preview": "## Opportunity Scoring Model Score opportunities based on: - Revenue potential - Strategic fit - Customer demand - Competitive advantage - Implementation effort Rank all opportunities.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:064", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Threat Scoring Model", "heading_level": 2, "ordinal": 64, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "threat", "scoring", "model" ], "text_preview": "## Threat Scoring Model Score threats based on: - Probability - Impact - Time horizon Track mitigation plans.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:065", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Strategic Dashboard", "heading_level": 2, "ordinal": 65, "word_count": 22, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "strategic", "dashboard" ], "text_preview": "## Strategic Dashboard Track: - Market trends - Competitive activity - Analyst mentions - Product opportunities - Strategic risks - Revenue opportunities", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:066", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Intelligence Quality Standards", "heading_level": 2, "ordinal": 66, "word_count": 19, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "intelligence", "quality", "standards" ], "text_preview": "## Intelligence Quality Standards All intelligence must be: - Current - Accurate - Traceable - Actionable No unsupported conclusions.", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:067", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Monthly Strategy Council", "heading_level": 2, "ordinal": 67, "word_count": 52, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "monthly", "strategy", "council" ], "text_preview": "## Monthly Strategy Council Participants: - Chief Strategy Officer Agent - Product Agent - Revenue Agent - Content Agent - Customer Success Agent - Intelligence Agents Review: - Market changes - Competitor activity - Product opportunities - Strategic threats Generate: - Top 10 op", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:068", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Final Principle", "heading_level": 2, "ordinal": 68, "word_count": 56, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "final", "principle" ], "text_preview": "## Final Principle The purpose of intelligence is not awareness. The purpose of intelligence is action. Every report. Every analysis. Every market trend. Every competitor insight. Every analyst interaction. Must help FamilyCase.AI make better decisions faster than competitors. Th", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:069", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Next Operating System", "heading_level": 2, "ordinal": 69, "word_count": 57, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "next", "operating", "system" ], "text_preview": "## Next Operating System Create next: [FamilyCase.AI Revenue Intelligence, Attribution, Forecasting, Customer Analytics, Growth Analytics, and Executive Reporting Operating System](revenue-intelligence-attribution-operating-system.md). This is the system that ties every content a", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_market_competitive_intelligence_operating_system_md:070", "source_path": "docs/market-competitive-intelligence-operating-system.md", "source_type": "operating_system_documentation", "heading": "Implementation Boundaries", "heading_level": 2, "ordinal": 70, "word_count": 124, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "implementation", "boundaries" ], "text_preview": "## Implementation Boundaries - This document defines intelligence and strategic planning operating policy; it does not authorize analyst outreach, competitor contact, scraping against platform terms, paid research purchases, public claims, customer research outreach, regulatory r", "source_lineage": { "source_path": "docs/market-competitive-intelligence-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:001", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Objective", "heading_level": 2, "ordinal": 1, "word_count": 87, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "objective" ], "text_preview": "## Executive Objective Build an autonomous Revenue Intelligence organization that measures, explains, predicts, and optimizes every activity that influences revenue. The objective is not reporting. The objective is not dashboards. The objective is not analytics. The objective is ", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:003", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 1", "heading_level": 3, "ordinal": 3, "word_count": 22, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 1 Revenue is a system. Marketing. Product. Content. Support. Training. Customer Success. Sales. All influence revenue. Measure the entire system.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:004", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 2", "heading_level": 3, "ordinal": 4, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 2 Every activity must be attributable. Nothing should operate without measurement.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:005", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 3", "heading_level": 3, "ordinal": 5, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 3 Lagging indicators are insufficient. The system must identify leading indicators.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:006", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Principle 4", "heading_level": 3, "ordinal": 6, "word_count": 11, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "principle" ], "text_preview": "### Principle 4 Optimization never ends. Every metric should continuously improve.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:008", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Chief Revenue Intelligence Officer Agent", "heading_level": 3, "ordinal": 8, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "chief", "revenue", "intelligence", "officer", "agent" ], "text_preview": "### Chief Revenue Intelligence Officer Agent Executive owner. Responsible for: - Revenue analytics - Forecasting - Attribution - Executive reporting - Growth optimization", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:009", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Attribution Director Agent", "heading_level": 3, "ordinal": 9, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "attribution", "director", "agent" ], "text_preview": "### Attribution Director Agent Responsible for: - Attribution models - Revenue influence analysis - Content influence analysis", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:010", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer Analytics Director Agent", "heading_level": 3, "ordinal": 10, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "analytics", "director", "agent" ], "text_preview": "### Customer Analytics Director Agent Responsible for: - Adoption analytics - Customer behavior - Health scoring", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:011", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Forecasting Director Agent", "heading_level": 3, "ordinal": 11, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "forecasting", "director", "agent" ], "text_preview": "### Forecasting Director Agent Responsible for: - Revenue forecasting - Scenario modeling - Capacity planning", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:012", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Growth Analytics Director Agent", "heading_level": 3, "ordinal": 12, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "growth", "analytics", "director", "agent" ], "text_preview": "### Growth Analytics Director Agent Responsible for: - Funnel analysis - Conversion analysis - Experiment analysis", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:013", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Reporting Director Agent", "heading_level": 3, "ordinal": 13, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "reporting", "director", "agent" ], "text_preview": "### Executive Reporting Director Agent Responsible for: - Board reporting - KPI reporting - Executive dashboards", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:014", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Data Architecture", "heading_level": 2, "ordinal": 14, "word_count": 44, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "data", "architecture" ], "text_preview": "## Revenue Data Architecture The Revenue Intelligence Platform must connect: - CRM - Product telemetry - Website analytics - Documentation analytics - Academy analytics - Social analytics - Webinar analytics - Support systems - Customer Success systems - Billing systems Everythin", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:015", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Unified Revenue Graph", "heading_level": 2, "ordinal": 15, "word_count": 34, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "unified", "revenue", "graph" ], "text_preview": "## Unified Revenue Graph Create a Revenue Graph. Relationships: Visitor -> Content -> Lead -> Opportunity -> Customer -> Expansion -> Renewal -> Revenue The graph becomes the system of record for revenue influence.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:021", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Influence Attribution", "heading_level": 3, "ordinal": 21, "word_count": 9, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "influence", "attribution" ], "text_preview": "### Revenue Influence Attribution Measures contribution rather than ownership.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:022", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content Attribution Program", "heading_level": 2, "ordinal": 22, "word_count": 35, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "attribution", "program" ], "text_preview": "## Content Attribution Program Measure influence from: - Blog posts - Documentation - Academy - Webinars - Videos - FAQs - Social content Questions: Which content generates: - Leads? - Trials? - Adoption? - Revenue?", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:023", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Social Attribution Program", "heading_level": 2, "ordinal": 23, "word_count": 31, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "social", "attribution", "program" ], "text_preview": "## Social Attribution Program Measure influence from: - LinkedIn - X - YouTube - Facebook - Instagram Track: - Reach - Engagement - Traffic - Pipeline - Revenue No vanity metrics.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:024", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Webinar Attribution Program", "heading_level": 2, "ordinal": 24, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "webinar", "attribution", "program" ], "text_preview": "## Webinar Attribution Program Track: Registration -> Attendance -> Follow-up -> Opportunity -> Revenue Measure ROI.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:025", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Podcast Attribution Program", "heading_level": 2, "ordinal": 25, "word_count": 14, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "podcast", "attribution", "program" ], "text_preview": "## Podcast Attribution Program Track: Appearance -> Engagement -> Traffic -> Pipeline -> Revenue", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:026", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product Adoption Analytics", "heading_level": 2, "ordinal": 26, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "adoption", "analytics" ], "text_preview": "## Product Adoption Analytics Track: - Feature adoption - Workflow completion - Time-to-value - Activation Determine which behaviors predict success.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:027", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Adoption Scoring Model", "heading_level": 2, "ordinal": 27, "word_count": 22, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "adoption", "scoring", "model" ], "text_preview": "## Adoption Scoring Model Score customers based on: - Product usage - Feature coverage - User engagement - Training completion Predict retention.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:028", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer Health Framework", "heading_level": 2, "ordinal": 28, "word_count": 24, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "health", "framework" ], "text_preview": "## Customer Health Framework Health Score components: - Product Usage - Feature Adoption - Support Volume - Training Completion - Engagement - Renewal Risk", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:029", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Churn Intelligence Program", "heading_level": 2, "ordinal": 29, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "churn", "intelligence", "program" ], "text_preview": "## Churn Intelligence Program Identify: - Churn drivers - Product gaps - Adoption failures - Support issues Generate mitigation plans.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:030", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Expansion Intelligence Program", "heading_level": 2, "ordinal": 30, "word_count": 16, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "expansion", "intelligence", "program" ], "text_preview": "## Expansion Intelligence Program Identify: - Upsell opportunities - Cross-sell opportunities - Adoption-driven expansion Prioritize accounts.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:031", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Forecasting Engine", "heading_level": 2, "ordinal": 31, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "forecasting", "engine" ], "text_preview": "## Revenue Forecasting Engine Forecast: - Monthly ARR - Quarterly ARR - Annual ARR Models: - Historical - Pipeline-based - Scenario-based", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:036", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Pipeline Analytics", "heading_level": 2, "ordinal": 36, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "pipeline", "analytics" ], "text_preview": "## Pipeline Analytics Track: - Lead volume - Conversion rates - Pipeline creation - Stage velocity - Win rates Identify bottlenecks.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:037", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Funnel Intelligence", "heading_level": 2, "ordinal": 37, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "funnel", "intelligence" ], "text_preview": "## Funnel Intelligence Analyze: Visitor -> Lead -> Demo -> Trial -> Customer Identify friction. Recommend improvements.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:038", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Growth Experimentation Program", "heading_level": 2, "ordinal": 38, "word_count": 21, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "growth", "experimentation", "program" ], "text_preview": "## Growth Experimentation Program Track experiments. Examples: - Website changes - Pricing changes - Content changes - Onboarding changes Measure impact.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:039", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Impact Scoring", "heading_level": 2, "ordinal": 39, "word_count": 26, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "impact", "scoring" ], "text_preview": "## Revenue Impact Scoring Every asset receives a Revenue Impact Score. Components: - Pipeline influence - Revenue influence - Retention influence - Adoption influence Rank assets.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:040", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Content ROI Engine", "heading_level": 2, "ordinal": 40, "word_count": 18, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "content", "engine" ], "text_preview": "## Content ROI Engine Determine which content creates: - Revenue - Adoption - Retention Increase investment in winners.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:041", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Training ROI Engine", "heading_level": 2, "ordinal": 41, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "training", "engine" ], "text_preview": "## Training ROI Engine Determine which training improves: - Adoption - Retention - Expansion Optimize learning investments.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:042", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Support ROI Engine", "heading_level": 2, "ordinal": 42, "word_count": 15, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "support", "engine" ], "text_preview": "## Support ROI Engine Determine which support initiatives reduce: - Churn - Tickets - Friction", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:043", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Product ROI Engine", "heading_level": 2, "ordinal": 43, "word_count": 13, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "product", "engine" ], "text_preview": "## Product ROI Engine Measure: Feature -> Adoption -> Revenue Understand value creation.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:044", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive KPI Framework", "heading_level": 2, "ordinal": 44, "word_count": 38, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "framework" ], "text_preview": "## Executive KPI Framework Track: - ARR - MRR - Net Revenue Retention - Gross Revenue Retention - CAC - LTV - Payback Period - Churn - Expansion Revenue - Pipeline Coverage - Win Rate - Sales Velocity", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:045", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Customer Success Analytics", "heading_level": 2, "ordinal": 45, "word_count": 17, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "customer", "success", "analytics" ], "text_preview": "## Customer Success Analytics Measure: - Onboarding completion - Adoption - Health - Renewal likelihood Predict outcomes.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:046", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Early Warning System", "heading_level": 2, "ordinal": 46, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "early", "warning", "system" ], "text_preview": "## Revenue Early Warning System Detect: - Pipeline decline - Churn risk - Adoption decline - Conversion decline Alert leadership.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:047", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Executive Dashboard", "heading_level": 2, "ordinal": 47, "word_count": 23, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "executive", "dashboard" ], "text_preview": "## Executive Dashboard Provide real-time visibility into: - Revenue - Pipeline - Adoption - Retention - Expansion - Churn Single source of truth.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:048", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Board Reporting System", "heading_level": 2, "ordinal": 48, "word_count": 31, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "board", "reporting", "system" ], "text_preview": "## Board Reporting System Monthly package. Include: - Revenue Performance - Pipeline Performance - Product Adoption - Customer Health - Retention - Expansion - Forecast - Strategic Risks - Strategic Opportunities", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:049", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Strategic Recommendation Engine", "heading_level": 2, "ordinal": 49, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "strategic", "recommendation", "engine" ], "text_preview": "## Strategic Recommendation Engine Generate recommendations. Every recommendation includes: - Evidence - Expected impact - Risk - Effort Rank opportunities.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:050", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Optimization Council", "heading_level": 2, "ordinal": 50, "word_count": 31, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "optimization", "council" ], "text_preview": "## Revenue Optimization Council Monthly. Participants: - Revenue Agent - Product Agent - Content Agent - Customer Success Agent - Growth Agent Review: - Performance - Bottlenecks - Opportunities Generate actions.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:051", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Revenue Data Quality Framework", "heading_level": 2, "ordinal": 51, "word_count": 20, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "revenue", "data", "quality", "framework" ], "text_preview": "## Revenue Data Quality Framework Monitor: - Missing data - Duplicate data - Attribution errors - Tracking failures Ensure trust.", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:052", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "ARR Scaling Framework", "heading_level": 2, "ordinal": 52, "word_count": 38, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "scaling", "framework" ], "text_preview": "## ARR Scaling Framework Track progress toward: - $1M ARR - $5M ARR - $10M ARR - $25M ARR - $50M ARR - $100M ARR Each milestone should have: - Required metrics - Required capabilities - Required investments", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:053", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Final Principle", "heading_level": 2, "ordinal": 53, "word_count": 75, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "final", "principle" ], "text_preview": "## Final Principle Revenue is the result of thousands of interactions. The purpose of Revenue Intelligence is to understand those interactions, predict outcomes, prioritize investments, eliminate waste, and continuously improve performance. Every customer action. Every content as", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:054", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Next Operating System", "heading_level": 2, "ordinal": 54, "word_count": 34, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "next", "operating", "system" ], "text_preview": "## Next Operating System Create next: [FamilyCase.AI Governance, Risk, Compliance, Approval Matrix, Budgeting, Portfolio Management, and Executive Operating System](enterprise-governance-control-plane-operating-system.md). This top-level governance layer sits above all major oper", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_revenue_intelligence_attribution_operating_system_md:055", "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "source_type": "operating_system_documentation", "heading": "Implementation Boundaries", "heading_level": 2, "ordinal": 55, "word_count": 118, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "implementation", "boundaries" ], "text_preview": "## Implementation Boundaries - This document defines revenue intelligence operating policy; it does not authorize connecting live CRM, billing, analytics, support, customer success, social, webinar, product telemetry, or customer-data systems. - Any revenue, customer, billing, pr", "source_lineage": { "source_path": "docs/revenue-intelligence-attribution-operating-system.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:001", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Purpose", "heading_level": 2, "ordinal": 1, "word_count": 36, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "purpose" ], "text_preview": "## Purpose FamilyCase.AI reduces token waste without weakening engineering, DevOps, security, compliance, testing, release, reliability, observability, or customer-experience controls. The best token is the token never sent. Optimization may reduce waste. Optimization may not red", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:002", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Non-Negotiable Preservation", "heading_level": 2, "ordinal": 2, "word_count": 49, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "negotiable", "preservation" ], "text_preview": "## Non-Negotiable Preservation Token savings must never come from removing or weakening security reviews, CI/CD checks, SAST, DAST, dependency scanning, secrets scanning, infrastructure scanning, SOC 2 controls, legal/compliance checks, tenant isolation testing, rollback processe", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:003", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Token Optimization Council", "heading_level": 2, "ordinal": 3, "word_count": 86, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "token", "optimization", "council" ], "text_preview": "## Token Optimization Council The monthly Token Optimization Council includes Principal Architect, AI Systems, DevOps, Security, Reliability, Cost Optimization, Product, Finance, and Engineering Manager agents. The council reviews prompts, agents, workflows, model calls, reposito", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:004", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Mandatory Review Rule", "heading_level": 2, "ordinal": 4, "word_count": 78, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "mandatory", "review", "rule" ], "text_preview": "## Mandatory Review Rule Before any new agent, prompt, workflow, automation, model call, MCP integration, retrieval process, or AI feature is approved, the system must determine whether the task can be completed without an LLM, with deterministic logic, with less context, with fe", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:005", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Context Budgets", "heading_level": 2, "ordinal": 5, "word_count": 82, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "context", "budgets" ], "text_preview": "## Context Budgets - Simple workflow: 2,000 input tokens, 500 output tokens. - Medium workflow: 10,000 input tokens, 2,000 output tokens. - Complex workflow: 25,000 input tokens, 5,000 output tokens. - Executive, legal, or architecture workflow: 50,000 input tokens, 10,000 output", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:006", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Prompt Budget Policy", "heading_level": 2, "ordinal": 6, "word_count": 60, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "prompt", "budget", "policy" ], "text_preview": "## Prompt Budget Policy The static prompt registry publishes `FAMILYCASE-AI-PROMPT-BUDGET-POLICY-001`. AI review prompt entries must stay at or below 150 estimated tokens, with a warning threshold at 120 estimated tokens. Any over-budget prompt is blocked until prompt compression", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:007", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Prompt Owner Review Policy", "heading_level": 2, "ordinal": 7, "word_count": 84, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "prompt", "owner", "review", "policy" ], "text_preview": "## Prompt Owner Review Policy The static prompt registry publishes `FAMILYCASE-AI-PROMPT-OWNER-REVIEW-POLICY-001`. Every active AI review prompt must have an owner, reviewer, last reviewed date, next review due date, current review status, and required evidence checklist. Owner r", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:008", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Duplicate Prompt Consolidation Policy", "heading_level": 2, "ordinal": 8, "word_count": 88, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "duplicate", "prompt", "consolidation", "policy" ], "text_preview": "## Duplicate Prompt Consolidation Policy The static prompt registry publishes `FAMILYCASE-AI-DUPLICATE-PROMPT-CONSOLIDATION-POLICY-001`. Duplicate prompt groups require an owner consolidation plan that selects a canonical prompt, confirms unique review scope, preserves required p", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:009", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Model-Call Budget Annotations", "heading_level": 2, "ordinal": 9, "word_count": 75, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "model", "call", "budget", "annotations" ], "text_preview": "## Model-Call Budget Annotations AI review prompt entries must publish `FAMILYCASE-AI-MODEL-CALL-BUDGET-POLICY-001`. Current static AI review prompts have a maximum model-call budget of zero, allowed model tier `none`, and deterministic-first enforcement. Future LLM enablement re", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:010", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Before-and-After Baselines", "heading_level": 2, "ordinal": 10, "word_count": 70, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "before", "after", "baselines" ], "text_preview": "## Before-and-After Baselines Every token optimization requires before-and-after baselines covering input tokens, output tokens, total tokens, LLM call count, cache hit rate, retrieval chunk count, p50 and p95 latency, cost, quality score, error rate, and preservation of security", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:011", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Merge Blockers", "heading_level": 2, "ordinal": 11, "word_count": 56, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "merge", "blockers" ], "text_preview": "## Merge Blockers Merge blockers include missing baselines, quality regression, security-control regression, compliance-control regression, release-control regression, customer-data exposure risk, secrets exposure risk, missing rollback plan, missing owner approval, large-model u", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:012", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Telemetry", "heading_level": 2, "ordinal": 12, "word_count": 37, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "telemetry" ], "text_preview": "## Telemetry Telemetry events must capture aggregate workflow, agent, model, token, cost, latency, retrieval, cache, quality, and control-preservation fields. Telemetry events must never include prompt text, raw case materials, secrets, private keys, access tokens, or session coo", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:013", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Token Measurement Ledger", "heading_level": 2, "ordinal": 13, "word_count": 111, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "token", "measurement", "ledger" ], "text_preview": "## Token Measurement Ledger The static Token Measurement Ledger is generated at `/token-measurement-ledger.json` and mirrored in `reports/token-measurement-ledger-latest.json`. The ledger records aggregate-only measurements for local AI review governance: product, repository, age", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:014", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Token Optimization Council Report", "heading_level": 2, "ordinal": 14, "word_count": 112, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "token", "optimization", "council", "report" ], "text_preview": "## Token Optimization Council Report The static Token Optimization Council Report is generated at `/token-optimization-council-report.json` and mirrored in `reports/token-optimization-council-latest.json`. The report converts the monthly council requirement into a validation-back", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:015", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Token KPI Report", "heading_level": 2, "ordinal": 15, "word_count": 123, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "token", "report" ], "text_preview": "## Token KPI Report The static Token KPI Report is generated at `/token-kpi-report.json` and mirrored in `reports/token-kpi-report-latest.json`. The report converts the monitoring requirement into a validation-backed static aggregate artifact covering LLM call elimination rate, d", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:016", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Shared Policy Libraries", "heading_level": 2, "ordinal": 16, "word_count": 28, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "shared", "policy", "libraries" ], "text_preview": "## Shared Policy Libraries Agents should reference shared policy IDs instead of reinserting full policy text: - SECURITY_STANDARD_V3 - RELEASE_GOVERNANCE_V2 - SOC2_CONTROL_SET_V1 - ENGINEERING_STANDARD_V4 - UI_UX_STANDARD_V2 - BRAND_STANDARD_V2", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:017", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Retrieval Policy", "heading_level": 2, "ordinal": 17, "word_count": 106, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "retrieval", "policy" ], "text_preview": "## Retrieval Policy Retrieval must be knowledge-graph-first, metadata-filtered, source-validated, confidence-scored, access-controlled, tenant-boundary aware, deduplicated, and freshness-checked. Default retrieval is top 3 to 10 chunks. Full-context loading is denied by default. ", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:018", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Embedding Cleanup Scorecard", "heading_level": 2, "ordinal": 18, "word_count": 81, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "embedding", "cleanup", "scorecard" ], "text_preview": "## Embedding Cleanup Scorecard The vector-store manifest includes a stale embedding cleanup scorecard before production embeddings are generated. The scorecard tracks duplicate vectors, obsolete vectors, stale vectors, unused embeddings, deprecated prompt embeddings, generated du", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:019", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Embedding Provider Evaluation", "heading_level": 2, "ordinal": 19, "word_count": 100, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "embedding", "provider", "evaluation" ], "text_preview": "## Embedding Provider Evaluation The vector-store manifest includes a static embedding provider evaluation before any provider is connected or embeddings are generated. The evaluation compares OpenSearch, Qdrant, Weaviate, Milvus, and Neo4j against security, privacy, tenant isola", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:020", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Memory Policy", "heading_level": 2, "ordinal": 20, "word_count": 47, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "memory", "policy" ], "text_preview": "## Memory Policy Memory has four layers: - Session memory expires quickly and applies only to immediate task context. - Working memory applies to active project work. - Long-term memory is relevance gated. - Archive memory is never injected automatically. Expired context must not", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:021", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Model Selection", "heading_level": 2, "ordinal": 21, "word_count": 34, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "model", "selection" ], "text_preview": "## Model Selection Use the smallest model capable of the required quality. Large models require logged justification and are reserved for architecture, legal analysis, complex reasoning, security design, executive strategy, and high-risk customer-facing output.", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:022", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Quality Gates", "heading_level": 2, "ordinal": 22, "word_count": 48, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "quality", "gates" ], "text_preview": "## Quality Gates Every token optimization change must pass unit tests, integration tests, security tests, regression tests, prompt evaluation tests, golden dataset tests, human review for high-risk workflows, and production readiness review. No token optimization may ship if it r", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:023", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Definition Of Done", "heading_level": 2, "ordinal": 23, "word_count": 54, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "definition", "done" ], "text_preview": "## Definition Of Done A token optimization change is done only when existing engineering, DevOps, security, compliance, and release controls are preserved; output quality is equal or better; token usage and cost are lower; latency is equal or better; tests pass; metrics are captu", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:024", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Token Optimization Backlog", "heading_level": 2, "ordinal": 24, "word_count": 115, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "token", "optimization", "backlog" ], "text_preview": "## Token Optimization Backlog The static backlog artifact is generated at `/token-optimization-backlog.json` and mirrored in `reports/token-optimization-backlog-latest.json`. Each issue-ready item, beginning with `TOKEN-001`, must include current token usage, target token usage, ", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } }, { "chunk_id": "chunk:docs_token_efficiency_governance_md:025", "source_path": "docs/token-efficiency-governance.md", "source_type": "operating_system_documentation", "heading": "Implementation Boundaries", "heading_level": 2, "ordinal": 25, "word_count": 136, "semantic_boundary": "markdown_heading_section", "retrieval_tags": [ "FamilyCase.AI", "operating_system_documentation", "implementation", "boundaries" ], "text_preview": "## Implementation Boundaries - This document defines token efficiency and AI cost-governance policy; it does not authorize reducing security reviews, CI/CD checks, release governance, legal review, compliance controls, tenant isolation, audit logging, monitoring, or production re", "source_lineage": { "source_path": "docs/token-efficiency-governance.md", "generated_from": "local_repository_markdown", "confidence": 1 } } ], "no_side_effects_boundary": "This chunk registry is a local static artifact only. It does not generate embeddings, connect vector stores, connect live systems, retrieve customer data, or authorize agent retrieval.", "source_evidence": [ "docs/knowledge-graph-rag-operating-system.md", "public/knowledge-graph-seed.json", "public/enterprise-operating-system-registry.json" ] }