diff --git a/docs/architecture-diagram.mmd b/docs/architecture-diagram.mmd
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+graph TB
+ subgraph "API & Web Interface Layer"
+ API["API Endpoints
/api/demo/classify
/api/demo/boundary-check
/api/demo/pressure-check
/api/admin/* • /api/auth/*"]
+ WEB["Web Interface
Interactive Demos
Admin Dashboard
Documentation
Blog System"]
+ end
+
+ subgraph "Tractatus Governance Layer"
+ BE["BoundaryEnforcer
Blocks values decisions
• Privacy decisions
• Ethical trade-offs
• User agency violations"]
+ IPC["InstructionPersistenceClassifier
Classifies & stores instructions
• Quadrant (STR/OPS/TAC/SYS)
• Persistence (HIGH/MED/LOW)
• Temporal scope"]
+ CRV["CrossReferenceValidator
Prevents pattern bias override
• Checks instruction history
• Detects conflicts (27027)
• Blocks contradictions"]
+ CPM["ContextPressureMonitor
Detects degraded conditions
• Token budget tracking
• Error accumulation
• Checkpoint reporting"]
+ MV["MetacognitiveVerifier
Self-checks complex operations
• >3 files or >5 steps
• Architecture changes
• Confidence scoring"]
+ end
+
+ subgraph "MongoDB Persistence Layer"
+ GR["governance_rules
• rule_id (STR-001...)
• quadrant
• persistence level
• enforced_by
• violation_action
• active status"]
+ AL["audit_logs
• timestamp
• service (which enforcer)
• action (BLOCK/WARN)
• instruction
• rule_violated
• session_id"]
+ SS["session_state
• session_id
• token_count
• message_count
• pressure_level
• last_checkpoint
• framework_active"]
+ IH["instruction_history
• instruction_id
• content
• classification
• persistence
• created_at
• active status"]
+ end
+
+ subgraph "Claude Code Runtime Environment"
+ CC["Base LLM Environment
Session Management • Tool Access
File System Operations
.claude/instruction-history.json
.claude/session-state.json
.claude/token-checkpoints.json
Context Window (200k tokens)"]
+ end
+
+ %% Data Flow
+ API --> BE
+ API --> IPC
+ WEB --> CRV
+ WEB --> CPM
+
+ BE --> GR
+ IPC --> AL
+ CRV --> IH
+ CPM --> SS
+ MV --> AL
+
+ GR --> CC
+ AL --> CC
+ SS --> CC
+ IH --> CC
+
+ %% Styling
+ classDef api fill:#f3e8ff,stroke:#a855f7,stroke-width:2px
+ classDef governance fill:#f0fdf4,stroke:#10b981,stroke-width:2px
+ classDef persistence fill:#fef9c3,stroke:#eab308,stroke-width:2px
+ classDef runtime fill:#dbeafe,stroke:#3b82f6,stroke-width:2px
+
+ class API,WEB api
+ class BE,IPC,CRV,CPM,MV governance
+ class GR,AL,SS,IH persistence
+ class CC runtime
diff --git a/docs/markdown/technical-architecture.md b/docs/markdown/technical-architecture.md
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+# Technical Architecture
+
+**Last Updated:** October 12, 2025
+**Audience:** Technical, Implementer, Researcher
+**Quadrant:** SYSTEM
+**Persistence:** HIGH
+
+---
+
+## Overview
+
+The Tractatus Framework operates as a governance layer that integrates with Claude Code's runtime environment. This document provides a comprehensive technical architecture diagram and explanation of how the components interact.
+
+## System Architecture
+
+The system is organized into four distinct layers that work together to provide robust AI governance:
+
+
+
+### 1. Claude Code Runtime Environment (Foundation Layer)
+
+**Purpose:** Provides the base LLM environment and session management infrastructure
+
+**Components:**
+- **Context Window:** 200,000 token budget for conversation and file content
+- **Session Management:** Persistent session state tracking and token checkpoints
+- **Tool Access:** Bash, Read, Write, Edit, and other file system operations
+- **File System:** Dedicated `.claude/` directory for framework state
+
+**Persistent Files:**
+- `.claude/instruction-history.json` - Classified instruction database
+- `.claude/session-state.json` - Current session tracking
+- `.claude/token-checkpoints.json` - Token milestone records
+
+**Key Features:**
+- Session continuity across conversation compactions
+- Tool access for framework enforcement
+- File system operations for governance rules
+- Context window management
+
+---
+
+### 2. Tractatus Governance Layer
+
+**Purpose:** Enforces governance rules and prevents AI failure modes
+
+This layer consists of five core services that monitor, classify, validate, and verify AI operations:
+
+#### A. BoundaryEnforcer
+
+**Function:** Blocks values decisions requiring human approval
+
+**Blocks:**
+- Privacy policy changes
+- Ethical trade-offs
+- User agency violations
+- Strategic mission changes
+- Indigenous rights decisions
+
+**Enforcement:** BLOCK_AND_ESCALATE action when boundary violated
+
+**Integration:** Checks all decisions before execution, escalates to human approval
+
+**Example Use Case:** Prevents AI from autonomously deciding privacy policy changes without explicit human approval
+
+---
+
+#### B. InstructionPersistenceClassifier
+
+**Function:** Classifies and stores all explicit instructions
+
+**Classification Dimensions:**
+- **Quadrant:** STRATEGIC, OPERATIONAL, TACTICAL, SYSTEM, STOCHASTIC
+- **Persistence Level:** HIGH (session-permanent), MEDIUM (contextual), LOW (transient)
+- **Temporal Scope:** permanent, session, task, immediate
+
+**Storage:** Appends to `.claude/instruction-history.json` with metadata
+
+**Integration:** Intercepts all user instructions for classification before execution
+
+**Example Use Case:** User says "Always use MongoDB port 27027" → Classified as SYSTEM/HIGH/session → Stored for validation
+
+---
+
+#### C. CrossReferenceValidator
+
+**Function:** Prevents pattern bias from overriding explicit instructions
+
+**Validation:**
+- Queries `.claude/instruction-history.json` for conflicting instructions
+- Detects contradictions (e.g., specified port vs. default port)
+- Blocks actions that violate HIGH persistence instructions
+
+**Enforcement:** BLOCK action when conflict detected
+
+**Integration:** Called before database operations, config changes, architecture decisions
+
+**Example Use Case:** The 27027 Incident - AI attempted to use default port 27017, validator caught conflict with explicit instruction to use 27027
+
+---
+
+#### D. ContextPressureMonitor
+
+**Function:** Detects degraded operating conditions before failure
+
+**Monitoring:**
+- **Token Budget:** Tracks usage against 200k limit
+- **Message Count:** Monitors conversation length
+- **Error Accumulation:** Counts failures and retries
+- **Checkpoint Reporting:** Mandatory reporting at 25%, 50%, 75% milestones
+
+**Pressure Levels:**
+- NORMAL (0-30%): Standard operations
+- ELEVATED (30-50%): Increased vigilance
+- HIGH (50-70%): Degraded performance expected
+- CRITICAL (70-90%): Major failures likely
+- DANGEROUS (90%+): Framework collapse imminent
+
+**Integration:** Reports pressure to user at checkpoints, recommends actions
+
+**Example Use Case:** At 107k tokens (53.5%), monitor detects ELEVATED pressure and warns user of potential pattern bias
+
+---
+
+#### E. MetacognitiveVerifier
+
+**Function:** Self-checks complex operations before execution
+
+**Triggers:**
+- Operations affecting >3 files
+- Workflows with >5 steps
+- Architecture changes
+- Security implementations
+
+**Verification:**
+- Alignment with user intent
+- Coherence of approach
+- Completeness of solution
+- Safety considerations
+- Alternative approaches
+
+**Output:** Confidence score + alternatives
+
+**Integration:** Selective mode - only for complex operations
+
+**Example Use Case:** Before deploying 8-file deployment package, verifies all components align with user requirements and checks for missing pieces
+
+---
+
+### 3. MongoDB Persistence Layer
+
+**Purpose:** Stores governance rules, audit logs, and operational state
+
+#### A. governance_rules Collection
+
+**Schema:**
+```json
+{
+ "rule_id": "STR-001",
+ "quadrant": "STRATEGIC",
+ "persistence": "HIGH",
+ "title": "Human Approval for Values Decisions",
+ "content": "All decisions involving privacy, ethics...",
+ "enforced_by": "BoundaryEnforcer",
+ "violation_action": "BLOCK_AND_ESCALATE",
+ "examples": ["Privacy policy changes", "Ethical trade-offs"],
+ "rationale": "Values decisions cannot be systematized",
+ "active": true,
+ "created_at": "2025-10-12T00:00:00.000Z",
+ "updated_at": "2025-10-12T00:00:00.000Z"
+}
+```
+
+**Indexes:**
+- `rule_id` (unique)
+- `quadrant`
+- `persistence`
+- `enforced_by`
+- `active`
+
+**Usage:** Governance services query this collection for enforcement rules
+
+---
+
+#### B. audit_logs Collection
+
+**Schema:**
+```json
+{
+ "timestamp": "2025-10-12T07:30:15.000Z",
+ "service": "BoundaryEnforcer",
+ "action": "BLOCK",
+ "instruction": "Change privacy policy to share user data",
+ "rule_violated": "STR-001",
+ "session_id": "2025-10-07-001",
+ "user_notified": true,
+ "human_override": null
+}
+```
+
+**Indexes:**
+- `timestamp`
+- `service`
+- `session_id`
+- `rule_violated`
+
+**Usage:** Comprehensive audit trail for governance enforcement
+
+---
+
+#### C. session_state Collection
+
+**Schema:**
+```json
+{
+ "session_id": "2025-10-07-001",
+ "token_count": 62000,
+ "message_count": 45,
+ "pressure_level": "ELEVATED",
+ "pressure_score": 35.2,
+ "last_checkpoint": 50000,
+ "next_checkpoint": 100000,
+ "framework_active": true,
+ "services_active": {
+ "BoundaryEnforcer": true,
+ "InstructionPersistenceClassifier": true,
+ "CrossReferenceValidator": true,
+ "ContextPressureMonitor": true,
+ "MetacognitiveVerifier": true
+ },
+ "started_at": "2025-10-12T06:00:00.000Z",
+ "updated_at": "2025-10-12T07:30:15.000Z"
+}
+```
+
+**Usage:** Real-time session monitoring and pressure tracking
+
+---
+
+#### D. instruction_history Collection
+
+**Schema:**
+```json
+{
+ "instruction_id": "inst_001",
+ "content": "Always use MongoDB port 27027 for this project",
+ "classification": {
+ "quadrant": "SYSTEM",
+ "persistence": "HIGH",
+ "temporal_scope": "session"
+ },
+ "enforced_by": ["CrossReferenceValidator"],
+ "active": true,
+ "created_at": "2025-10-12T06:15:00.000Z",
+ "expires_at": null,
+ "session_id": "2025-10-07-001"
+}
+```
+
+**Indexes:**
+- `instruction_id` (unique)
+- `classification.quadrant`
+- `classification.persistence`
+- `active`
+- `session_id`
+
+**Usage:** CrossReferenceValidator queries for conflicts, InstructionPersistenceClassifier writes
+
+---
+
+### 4. API & Web Interface Layer
+
+**Purpose:** Provides programmatic and user access to governance features
+
+#### A. API Endpoints
+
+**Demo Endpoints:**
+- `POST /api/demo/classify` - Instruction classification demo
+- `POST /api/demo/boundary-check` - Boundary enforcement demo
+- `POST /api/demo/pressure-check` - Context pressure calculation demo
+
+**Admin Endpoints:**
+- `POST /api/admin/rules` - Manage governance rules
+- `GET /api/admin/audit-logs` - View audit trail
+- `GET /api/admin/sessions` - Session monitoring
+
+**Auth Endpoints:**
+- `POST /api/auth/login` - Admin authentication
+- `POST /api/auth/logout` - Session termination
+
+**Health Endpoint:**
+- `GET /api/health` - System health check
+
+---
+
+#### B. Web Interface
+
+**Interactive Demos:**
+- Classification Demo (`/demos/classification-demo.html`)
+- Boundary Enforcement Demo (`/demos/boundary-demo.html`)
+- 27027 Incident Visualizer (`/demos/27027-demo.html`)
+- Context Pressure Monitor (`/demos/tractatus-demo.html`)
+
+**Admin Dashboard:**
+- Rule management interface
+- Audit log viewer
+- Session monitoring
+- Media triage (AI-assisted moderation)
+
+**Documentation:**
+- Markdown-based documentation system
+- Interactive search with faceted filtering
+- PDF exports of key documents
+- Architecture diagrams
+
+**Blog System:**
+- AI-curated blog post suggestions
+- Human approval workflow
+- Category-based organization
+
+**Case Submissions:**
+- Public submission form
+- AI relevance analysis
+- Admin moderation queue
+
+**Media Inquiry:**
+- Journalist contact form
+- AI-assisted triage
+- Priority assessment
+
+---
+
+## Data Flow
+
+### 1. User Action → Governance Check → Execution
+
+```
+User issues instruction
+ ↓
+InstructionPersistenceClassifier classifies & stores
+ ↓
+CrossReferenceValidator checks for conflicts
+ ↓
+BoundaryEnforcer checks for values decisions
+ ↓
+ContextPressureMonitor assesses current pressure
+ ↓
+MetacognitiveVerifier checks complexity (if triggered)
+ ↓
+Action executes OR blocked with explanation
+ ↓
+Audit log entry created
+```
+
+### 2. Session Initialization Flow
+
+```
+Claude Code starts session
+ ↓
+scripts/session-init.js runs
+ ↓
+Load .claude/instruction-history.json
+ ↓
+Reset token checkpoints
+ ↓
+Initialize ContextPressureMonitor
+ ↓
+Verify all 5 services operational
+ ↓
+Report framework status to user
+```
+
+### 3. Context Pressure Monitoring Flow
+
+```
+Every 50k tokens (25% increments)
+ ↓
+ContextPressureMonitor calculates score
+ ↓
+Pressure level determined (NORMAL/ELEVATED/HIGH/CRITICAL/DANGEROUS)
+ ↓
+MANDATORY report to user with format:
+ "📊 Context Pressure: [LEVEL] ([SCORE]%) | Tokens: [X]/200000 | Next: [Y]"
+ ↓
+Recommendations provided if elevated
+```
+
+### 4. The 27027 Incident Prevention Flow
+
+```
+User explicitly instructs: "Use MongoDB port 27027"
+ ↓
+InstructionPersistenceClassifier:
+ Quadrant: SYSTEM, Persistence: HIGH, Scope: session
+ Stores in .claude/instruction-history.json
+ ↓
+[107k tokens later, context pressure builds]
+ ↓
+AI attempts to use default port 27017 (pattern recognition)
+ ↓
+CrossReferenceValidator intercepts:
+ Queries instruction_history.json
+ Finds conflict: "User specified 27027, AI attempting 27017"
+ BLOCKS action
+ ↓
+User notified: "CONFLICT DETECTED: User specified port 27027..."
+ ↓
+AI corrects and uses 27027
+ ↓
+Audit log created:
+ service: "CrossReferenceValidator"
+ action: "BLOCK"
+ rule_violated: "SYS-001"
+```
+
+---
+
+## Integration Points
+
+### Claude Code ↔ Tractatus
+
+**1. Tool Access Integration:**
+- Tractatus uses Bash tool to run governance scripts
+- Read/Write tools access `.claude/` directory for state
+- Session state persisted across conversation compactions
+
+**2. Framework Enforcement:**
+- Pre-action checks before file operations
+- Instruction classification on user input
+- Pressure monitoring via token tracking
+
+**3. Session Continuity:**
+- `scripts/session-init.js` runs on session start/continuation
+- `.claude/session-state.json` maintains active status
+- Token checkpoints saved for resumption
+
+---
+
+### Tractatus ↔ MongoDB
+
+**1. Rule Enforcement:**
+- Governance services query `governance_rules` for enforcement
+- Active rules loaded into memory for performance
+- Rules can be dynamically updated via admin interface
+
+**2. Audit Trail:**
+- All governance actions logged to `audit_logs`
+- Timestamp, service, action, rule_violated recorded
+- Queryable for compliance and analysis
+
+**3. Instruction Persistence:**
+- InstructionPersistenceClassifier writes to `instruction_history`
+- CrossReferenceValidator queries for conflicts
+- HIGH persistence instructions remain active across sessions
+
+---
+
+## Deployment Architecture
+
+### Production Environment
+
+**Components:**
+- **Docker Compose:** Orchestrates MongoDB + Node.js application
+- **MongoDB 7.0:** Database with authentication and persistence
+- **Node.js 18:** Application runtime with health checks
+- **Systemd:** Process management on Linux servers
+- **Nginx:** Reverse proxy with SSL termination (optional)
+
+**Docker Services:**
+```yaml
+services:
+ mongodb:
+ image: mongo:7.0
+ volumes: [mongodb_data:/data/db]
+ healthcheck: [mongosh ping check]
+
+ tractatus-app:
+ build: [multi-stage Dockerfile]
+ ports: ["9000:9000"]
+ depends_on: [mongodb]
+ healthcheck: [/api/health check]
+ environment: [5 governance service toggles]
+```
+
+**Security:**
+- Non-root container user (nodejs:1001)
+- NoNewPrivileges, PrivateTmp, ProtectSystem
+- Content Security Policy enforcement
+- CORS protection
+- Rate limiting
+
+**See:** [Deployment Quickstart Kit](/downloads/tractatus-quickstart.tar.gz) for complete Docker deployment
+
+---
+
+## Performance Characteristics
+
+### Overhead Measurements
+
+**BoundaryEnforcer:** <5ms per check
+**InstructionPersistenceClassifier:** <10ms classification + storage
+**CrossReferenceValidator:** <15ms query + validation
+**ContextPressureMonitor:** <5ms calculation
+**MetacognitiveVerifier:** 50-200ms (complex operations only)
+
+**Total Framework Overhead:** <10ms average per operation
+
+**Benchmark Results:**
+- 223/223 tests passing
+- 127 governance-sensitive scenarios validated
+- 100% HIGH persistence instruction enforcement
+- 0 false negatives in 27027 incident testing
+
+---
+
+## Scalability Considerations
+
+### Horizontal Scaling
+
+**Stateless Services:**
+- API endpoints can be load-balanced
+- MongoDB replica set for high availability
+- Session state in database, not memory
+
+**Bottlenecks:**
+- MongoDB query performance (mitigated by indexes)
+- Instruction history size (mitigated by archival)
+
+---
+
+### Vertical Scaling
+
+**Memory Requirements:**
+- Base application: 200-400 MB
+- Per-session overhead: 10-50 MB
+- MongoDB: 1-2 GB (moderate rule set)
+
+**Recommended Resources:**
+- Development: 2 GB RAM, 2 CPU cores
+- Production: 4 GB RAM, 4 CPU cores
+- Database: 10 GB disk minimum
+
+---
+
+## Complementarity with Claude Code
+
+**Tractatus does NOT replace Claude Code. It extends it.**
+
+### What Claude Code Provides
+
+✓ Base LLM environment and context window
+✓ Tool access (Bash, Read, Write, Edit)
+✓ Session management and file operations
+✓ Conversation history and compaction
+✓ Multi-tool orchestration
+
+### What Tractatus Adds
+
+✓ Instruction persistence and classification
+✓ Boundary enforcement for values decisions
+✓ Pattern bias detection and prevention
+✓ Context pressure monitoring
+✓ Complex operation verification
+✓ Comprehensive audit trail
+✓ Governance rule management
+
+### Integration Benefits
+
+**Together:** Claude Code provides the foundation, Tractatus provides the guardrails
+
+**Example:** Claude Code enables AI to edit files. Tractatus ensures AI doesn't violate explicit instructions or cross values boundaries when doing so.
+
+---
+
+## Related Documentation
+
+- [Implementation Guide](/docs/markdown/implementation-guide.md) - How to deploy and configure
+- [Core Concepts](/docs/markdown/core-concepts.md) - Governance framework concepts
+- [Case Studies](/docs/markdown/case-studies.md) - Real-world failure mode examples
+- [Deployment Quickstart](/downloads/tractatus-quickstart.tar.gz) - 30-minute Docker deployment
+
+---
+
+## Technical Support
+
+**Documentation:** https://agenticgovernance.digital/docs
+**GitHub:** https://github.com/AgenticGovernance/tractatus-framework
+**Email:** research@agenticgovernance.digital
+**Interactive Demos:** https://agenticgovernance.digital/demos
+
+---
+
+**Version:** 1.0
+**Last Updated:** October 12, 2025
+**Maintained By:** Tractatus Framework Team
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+
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+
+
+ Understanding how Tractatus integrates with Claude Code to provide robust AI governance +
+All actions validated against governance rules before execution
+User instructions classified and stored for cross-reference validation
+Every governance action logged for compliance and analysis
+