CODITECT Document Management - Strategic Product Orchestration Plan
Date: December 27, 2025 Status: Active Development Timeline: 8 weeks (January 6 - March 3, 2026) Scope: MoE-based autonomous classification + Enterprise DMS product
Executive Summary
Strategic Vision: Transform CODITECT Document Management into a two-tier product offering:
- CODITECT-CORE (Built-in, Free): Lightweight frontmatter system with ADR-018 integration
- CODITECT-DOCUMENT-MANAGEMENT (Enterprise Add-on): Full DMS with semantic search, analytics, and multi-tenant deployment
Key Innovation: Production-grade MoE (Mixture of Experts) autonomous classification system achieving 99.9%+ accuracy with zero manual review across 6,655 documents.
Business Impact:
- Market Differentiation: Only AI-native DMS with autonomous document classification
- Revenue Potential: Enterprise tier sold separately or bundled with CODITECT-CORE
- Extensibility: Reusable MoE framework for customer-specific document types
Table of Contents
- Phase 1: MoE System Design
- Phase 2: Product Architecture
- Phase 3: MoE Framework Development
- Phase 4: CODITECT-CORE Integration
- Phase 5: Classification Execution
- Phase 6: Enterprise DMS Enhancement
- Phase 7: Testing & Validation
- Phase 8: Documentation & Productization
- Success Metrics
- Risk Management
- Agent Coordination Matrix
Phase 1: MoE System Design (Week 1)
Duration: 5 business days (January 6-10, 2026) Effort: 60 hours Agents Required: orchestrator, senior-architect, ai-specialist
Objectives
Design production-grade Mixture of Experts (MoE) classification system with:
- 5 specialist analyst agents (parallel analysis)
- 3 judge agents (consensus validation)
- 1 orchestrator agent (workflow coordination)
- Zero-error classification guarantee (99.9%+ accuracy)
Deliverables
| # | Deliverable | Owner | Hours | Completion Criteria |
|---|---|---|---|---|
| 1.1 | MoE Classification System ADR | senior-architect | 16 | ADR-019 approved with technical specifications |
| 1.2 | Agent Interaction Protocol Spec | ai-specialist | 12 | Message format, parallel execution patterns defined |
| 1.3 | Consensus Algorithm Design | ai-specialist | 10 | Mathematical proof of 99.9%+ accuracy |
| 1.4 | Confidence Scoring Methodology | ai-specialist | 8 | Threshold definitions (high/medium/low) |
| 1.5 | Escalation Workflow Design | orchestrator | 6 | Fallback strategies for edge cases |
| 1.6 | System Architecture Diagram | senior-architect | 8 | C4 diagrams (Context, Container, Component) |
Agent Coordination
Success Criteria
- ✅ ADR-019 approved by technical leadership
- ✅ Consensus algorithm proven mathematically (99.9%+ accuracy)
- ✅ Agent interaction protocols documented
- ✅ Escalation workflow covers all edge cases
- ✅ Architecture diagrams complete (3 levels)
Task Invocations
# Week 1, Day 1-2: Architecture Design
/agent senior-architect "Create ADR-019: MoE Document Classification System with technical specifications for 5 analyst agents, 3 judge agents, and orchestrator. Include consensus algorithm, confidence scoring, and escalation workflows."
# Week 1, Day 2-3: AI System Design
/agent ai-specialist "Design consensus algorithm for MoE classification system. Prove mathematically that 5 parallel analysts + 3 judges achieve 99.9%+ accuracy. Define confidence thresholds (high ≥95%, medium 85-95%, low <85%)."
# Week 1, Day 3-4: Agent Protocols
/agent ai-specialist "Define agent interaction protocols for MoE system. Specify message formats for analyst outputs, judge verdicts, orchestrator commands. Include parallel execution patterns and error handling."
# Week 1, Day 4-5: Orchestration Design
/agent orchestrator "Design escalation workflow for MoE classification system. Define fallback strategies: unanimous reject → re-analyze, split decision → senior judge, low confidence → additional context. Document all edge cases."
Outputs
Primary Documents:
/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/core/coditect-core/internal/architecture/adrs/ADR-019-moe-document-classification-system.md/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/ops/coditect-document-management/docs/01-architecture/moe-system-design.md
Supporting Artifacts:
- Consensus algorithm proof (mathematical notation)
- Agent interaction protocol specification (JSON schema)
- C4 architecture diagrams (3 levels)
- Escalation workflow decision tree
Phase 2: Product Architecture (Week 1-2)
Duration: 7 business days (January 6-14, 2026) Effort: 70 hours Agents Required: senior-architect, business-intelligence-analyst, product-strategist
Objectives
Define strategic product architecture separating:
- CODITECT-CORE: Lightweight frontmatter system (built-in)
- CODITECT-DOCUMENT-MANAGEMENT: Enterprise DMS (paid add-on)
- Clear bundling/licensing strategy
- Customer value proposition and pricing model
Deliverables
| # | Deliverable | Owner | Hours | Completion Criteria |
|---|---|---|---|---|
| 2.1 | CODITECT-CORE Frontmatter Design | senior-architect | 16 | Integration with ADR-018, hooks defined |
| 2.2 | Enterprise DMS Product Spec | senior-architect | 14 | Feature matrix, deployment architecture |
| 2.3 | Bundling/Licensing Strategy | business-intelligence-analyst | 12 | Pricing tiers, bundle options defined |
| 2.4 | Customer Value Proposition | business-intelligence-analyst | 10 | ROI calculator, competitive analysis |
| 2.5 | Migration Path Design | product-strategist | 8 | Core → Enterprise upgrade workflow |
| 2.6 | Product Roadmap (12 months) | product-strategist | 10 | Feature releases, market milestones |
Agent Coordination
Success Criteria
- ✅ CODITECT-CORE frontmatter design complete (ADR-018 compliant)
- ✅ Enterprise DMS feature matrix approved
- ✅ Pricing strategy validated (3 tiers: Free, Pro, Enterprise)
- ✅ Customer value proposition quantified (ROI ≥300% Year 1)
- ✅ Migration path tested (Core → Enterprise in <1 hour)
Task Invocations
# Week 1, Day 1-3: Core Integration Design
/agent senior-architect "Design CODITECT-CORE frontmatter integration. Specify document creation hooks (auto-inject frontmatter), modification hooks (update timestamps), validation hooks (ADR-018 compliance). Include CLI tools for frontmatter management."
# Week 1, Day 3-5: Enterprise Product Spec
/agent senior-architect "Create Enterprise DMS product specification. Feature matrix: semantic search (pgvector), GraphRAG chunking, real-time metrics (TimescaleDB), analytics dashboard. Multi-tenant SaaS deployment architecture on GCP/K8s."
# Week 1-2, Day 4-7: Business Strategy
/agent business-intelligence-analyst "Define bundling/licensing strategy for CODITECT Document Management. Pricing tiers: Free (CORE), Pro ($49/mo - 10K docs), Enterprise (custom - unlimited). Bundle options: CODITECT Suite (20% discount). Include ROI calculator."
# Week 2, Day 1-2: Migration Path
/agent product-strategist "Design migration path from CODITECT-CORE to Enterprise DMS. One-click upgrade preserving all frontmatter metadata. Data migration scripts, configuration templates, deployment automation. Target: <1 hour migration for 100K docs."
# Week 2, Day 3-4: Product Roadmap
/agent product-strategist "Create 12-month product roadmap for CODITECT Document Management. Q1 2026: MoE classification + Core integration. Q2: Enterprise features (semantic search, analytics). Q3: Advanced integrations (Slack, JIRA). Q4: AI-powered insights."
Outputs
Primary Documents:
/Users/halcasteel/PROJECTS/coditect-rollout-master/docs/business/DOCUMENT-MANAGEMENT-PRODUCT-STRATEGY.md/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/ops/coditect-document-management/docs/00-master-planning/product-architecture.md
Supporting Artifacts:
- Feature comparison matrix (Core vs Enterprise)
- Pricing calculator (interactive)
- ROI analysis (3-year projection)
- Migration workflow diagrams
Phase 3: MoE Framework Development (Week 2-3)
Duration: 10 business days (January 13-24, 2026) Effort: 120 hours Agents Required: rust-expert-developer, ai-specialist, senior-architect, testing-specialist
Objectives
Implement production-grade MoE classification framework:
- 5 specialist analyst agents (parallel execution)
- 3 judge agents (consensus validation)
- Orchestration engine (workflow coordination)
- Audit trail system (full traceability)
Deliverables
| # | Deliverable | Owner | Hours | Completion Criteria |
|---|---|---|---|---|
| 3.1 | Analyst Agent: structural-analyst | rust-expert-developer | 16 | File path/structure analysis, 95%+ confidence |
| 3.2 | Analyst Agent: content-analyst | rust-expert-developer | 16 | Content/header analysis, keyword extraction |
| 3.3 | Analyst Agent: metadata-analyst | rust-expert-developer | 14 | Frontmatter extraction, git history analysis |
| 3.4 | Analyst Agent: semantic-analyst | ai-specialist | 20 | Embedding-based classification, similarity search |
| 3.5 | Analyst Agent: pattern-analyst | ai-specialist | 14 | Rule-based pattern matching, heuristics |
| 3.6 | Judge Agent: consistency-judge | ai-specialist | 10 | Cross-analyst contradiction detection |
| 3.7 | Judge Agent: quality-judge | ai-specialist | 10 | Completeness validation, confidence scoring |
| 3.8 | Judge Agent: domain-judge | senior-architect | 10 | CODITECT standards validation, ADR-018 compliance |
| 3.9 | Orchestration Engine | rust-expert-developer | 20 | Parallel execution, consensus algorithm, escalation |
| 3.10 | Audit Trail System | rust-expert-developer | 12 | Full traceability, evidence logging, reporting |
Agent Coordination
Success Criteria
- ✅ All 5 analyst agents operational (individual accuracy ≥90%)
- ✅ All 3 judge agents operational (consensus accuracy ≥99%)
- ✅ Orchestration engine handles parallel execution (5 analysts simultaneously)
- ✅ Audit trail captures all classifications (100% traceability)
- ✅ Unit test coverage ≥85% (all agents + orchestrator)
Task Invocations
# Week 2, Day 1-3: Structural Analyst
/agent rust-expert-developer "Implement structural-analyst agent. Analyzes file paths (agents/*.md, commands/*.md, skills/*/SKILL.md), directory structure, naming patterns. Outputs component_type prediction with confidence score and evidence. Python with pathlib."
# Week 2, Day 2-4: Content Analyst
/agent rust-expert-developer "Implement content-analyst agent. Parses Markdown content (headers, code blocks, frontmatter). Extracts doc_type, audience, keywords. NLP with spaCy. Outputs classification with confidence score and extracted features."
# Week 2, Day 3-5: Metadata Analyst
/agent rust-expert-developer "Implement metadata-analyst agent. Extracts existing frontmatter (YAML), git history (commit messages, dates), file timestamps. Outputs status, version, dates with confidence score. Use gitpython + PyYAML."
# Week 2-3, Day 4-7: Semantic Analyst
/agent ai-specialist "Implement semantic-analyst agent. Uses sentence-transformers for document embeddings. Performs similarity search against labeled corpus. Outputs category, domain, related documents with confidence score. FAISS index for fast retrieval."
# Week 3, Day 1-3: Pattern Analyst
/agent ai-specialist "Implement pattern-analyst agent. Rule-based pattern matching (regex for ADR-XXX, component type from path). Heuristics (agents/*.md → component_type: agent). Outputs matched rules with confidence score."
# Week 3, Day 3-4: Consistency Judge
/agent ai-specialist "Implement consistency-judge agent. Compares 5 analyst outputs, flags contradictions (e.g., 3 say 'agent', 2 say 'command'). Identifies consensus (4/5 agree = high confidence). Outputs verdict (APPROVE/REJECT) with reasoning."
# Week 3, Day 4-5: Quality Judge
/agent ai-specialist "Implement quality-judge agent. Validates classification completeness (all required fields present), assesses confidence scores (average ≥85% = pass). Enforces thresholds. Outputs verdict with quality concerns."
# Week 3, Day 5-6: Domain Judge
/agent senior-architect "Implement domain-judge agent. Validates CODITECT standards compliance (ADR-018 schema, component naming conventions). Checks cross-references (no contradictions). Outputs verdict with domain-specific feedback."
# Week 3, Day 6-8: Orchestration Engine
/agent rust-expert-developer "Implement MoE orchestration engine. Parallel execution of 5 analysts (asyncio). Collects outputs, invokes 3 judges sequentially. Implements consensus algorithm (unanimous/majority/split). Handles escalation (re-analyze, senior judge). Python with asyncio."
# Week 3, Day 8-9: Audit Trail
/agent rust-expert-developer "Implement audit trail system. Logs all analyst outputs (JSON), judge verdicts, orchestrator decisions. Generates classification reports (HTML + JSON). Full traceability: document → analysts → judges → final classification. Use SQLite for storage."
Outputs
Primary Codebase:
/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/ops/coditect-document-management/scripts/moe-classification-system/analysts/structural_analyst.pyanalysts/content_analyst.pyanalysts/metadata_analyst.pyanalysts/semantic_analyst.pyanalysts/pattern_analyst.pyjudges/consistency_judge.pyjudges/quality_judge.pyjudges/domain_judge.pyorchestrator.pyaudit_trail.py
Test Suite:
tests/moe_system/test_analysts.py(85%+ coverage)tests/moe_system/test_judges.py(85%+ coverage)tests/moe_system/test_orchestrator.py(90%+ coverage)
Phase 4: CODITECT-CORE Integration (Week 3-4)
Duration: 10 business days (January 20-31, 2026) Effort: 90 hours Agents Required: senior-architect, codi-documentation-writer, rust-expert-developer
Objectives
Build lightweight frontmatter system into CODITECT-CORE (free tier):
- Document creation hooks (auto-inject frontmatter)
- Document modification hooks (update timestamps)
- CLI tools (frontmatter management)
- Validation scripts (ADR-018 compliance)
Deliverables
| # | Deliverable | Owner | Hours | Completion Criteria |
|---|---|---|---|---|
| 4.1 | Document Creation Hook | rust-expert-developer | 14 | Auto-inject frontmatter on new .md files |
| 4.2 | Document Modification Hook | rust-expert-developer | 12 | Update modified_at on file save |
| 4.3 | CLI Tool: frontmatter-init | rust-expert-developer | 10 | Initialize frontmatter for existing docs |
| 4.4 | CLI Tool: frontmatter-validate | rust-expert-developer | 10 | Validate ADR-018 compliance |
| 4.5 | CLI Tool: frontmatter-update | rust-expert-developer | 8 | Bulk update frontmatter fields |
| 4.6 | Migration Scripts | rust-expert-developer | 12 | Migrate existing docs to frontmatter |
| 4.7 | Integration Tests | rust-expert-developer | 14 | Test all hooks and CLI tools (90%+ coverage) |
| 4.8 | User Documentation | codi-documentation-writer | 10 | CLI usage guide, hook configuration |
Agent Coordination
Success Criteria
- ✅ Document creation hook auto-injects frontmatter (100% coverage)
- ✅ Modification hook updates timestamps (real-time)
- ✅ CLI tools operational (init, validate, update)
- ✅ Migration scripts tested (1000+ doc sample, zero errors)
- ✅ Integration tests pass (90%+ coverage)
- ✅ User documentation complete (CLI reference + examples)
Task Invocations
# Week 3-4, Day 1-3: Creation Hook
/agent rust-expert-developer "Implement document creation hook for CODITECT-CORE. On new .md file creation, auto-inject ADR-018 frontmatter (created_at, modified_at, status: draft, version: 0.1.0). Use Python file system watcher (watchdog). Store in .coditect/hooks/document_create.py."
# Week 4, Day 2-4: Modification Hook
/agent rust-expert-developer "Implement document modification hook. On .md file save, update modified_at timestamp, increment version (patch). Preserve other frontmatter fields. Use watchdog for file events. Store in .coditect/hooks/document_modify.py."
# Week 4, Day 3-5: CLI - Init
/agent rust-expert-developer "Create CLI tool: frontmatter-init. Scans directory for .md files without frontmatter, injects ADR-018 compliant YAML. Options: --dry-run, --recursive, --overwrite. Use Click for CLI. Store in .coditect/scripts/frontmatter_init.py."
# Week 4, Day 4-6: CLI - Validate
/agent rust-expert-developer "Create CLI tool: frontmatter-validate. Validates all .md files against ADR-018 schema. Reports errors (missing fields, invalid formats). Options: --strict, --fix. Use jsonschema for validation. Store in .coditect/scripts/frontmatter_validate.py."
# Week 4, Day 5-7: CLI - Update
/agent rust-expert-developer "Create CLI tool: frontmatter-update. Bulk updates frontmatter fields (e.g., status: draft → review). Options: --field, --value, --filter. Supports regex patterns. Store in .coditect/scripts/frontmatter_update.py."
# Week 4, Day 6-8: Migration Scripts
/agent rust-expert-developer "Create migration scripts for existing CODITECT docs. Scan all .md files, extract metadata (from git history if needed), inject ADR-018 frontmatter. Preserve existing content. Dry-run mode for safety. Store in .coditect/scripts/migrate_to_frontmatter.py."
# Week 4, Day 7-9: Integration Tests
/agent rust-expert-developer "Write integration tests for CODITECT-CORE frontmatter system. Test hooks (creation, modification), CLI tools (init, validate, update), migration scripts. Use pytest. Target 90%+ coverage. Store in tests/integration/test_frontmatter_system.py."
# Week 4, Day 9-10: Documentation
/agent codi-documentation-writer "Write user documentation for CODITECT-CORE frontmatter system. CLI reference (all tools + options), hook configuration guide, ADR-018 schema reference, migration guide. Include examples. Store in docs/guides/FRONTMATTER-SYSTEM-GUIDE.md."
Outputs
Primary Codebase:
/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/core/coditect-core/.coditect/hooks/document_create.pydocument_modify.py
/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/core/coditect-core/.coditect/scripts/frontmatter_init.pyfrontmatter_validate.pyfrontmatter_update.pymigrate_to_frontmatter.py
Documentation:
docs/guides/FRONTMATTER-SYSTEM-GUIDE.md
Tests:
tests/integration/test_frontmatter_system.py(90%+ coverage)
Phase 5: Classification Execution (Week 4-5)
Duration: 10 business days (January 27 - February 7, 2026) Effort: 100 hours (autonomous) Agents Required: MoE Classification System (5 analysts + 3 judges + orchestrator)
Objectives
Autonomously classify all 6,655 documents with:
- 99.9%+ accuracy (zero manual review)
- Full audit trail (every classification logged)
- Confidence distribution analysis
- Edge case documentation
Deliverables
| # | Deliverable | Owner | Hours | Completion Criteria |
|---|---|---|---|---|
| 5.1 | Document Discovery | orchestrator | 4 | Scan all repos, identify 6,655 .md files |
| 5.2 | Batch Processing Setup | orchestrator | 6 | Split into batches (500 docs each), parallel processing |
| 5.3 | Classification Execution | MoE System | 70 | Classify all 6,655 docs, 99.9%+ accuracy |
| 5.4 | Audit Trail Generation | orchestrator | 8 | Generate reports (JSON + HTML) for all classifications |
| 5.5 | Confidence Distribution | orchestrator | 6 | Analyze confidence scores (histogram, percentiles) |
| 5.6 | Edge Case Documentation | orchestrator | 6 | Document low-confidence cases, escalations |
Agent Coordination
Success Criteria
- ✅ All 6,655 documents classified (100% coverage)
- ✅ Accuracy ≥99.9% (validated by sample review)
- ✅ Zero manual interventions (fully autonomous)
- ✅ Audit trail complete (100% traceability)
- ✅ Average confidence score ≥90%
- ✅ Edge cases documented (<1% of total)
Task Invocations
# Week 4-5, Day 1: Document Discovery
/agent orchestrator "Scan all CODITECT repositories for .md files. Identify 6,655 documents across coditect-core, coditect-rollout-master, and 74 submodules. Generate manifest (file path, size, last modified). Store in moe-system/document_manifest.json."
# Week 4-5, Day 1-2: Batch Processing Setup
/agent orchestrator "Split 6,655 documents into 14 batches (500 docs each, except last batch: 655). Configure parallel processing (4 batches simultaneously). Setup progress tracking (batch completion, overall %). Store config in moe-system/batch_config.json."
# Week 4-5, Day 2-9: Classification Execution (AUTONOMOUS)
# MoE System runs autonomously - no manual invocation required
# Progress monitoring via audit trail dashboard
# Week 5, Day 9-10: Audit Trail & Analysis
/agent orchestrator "Generate comprehensive audit trail reports. For each document: analyst outputs, judge verdicts, final classification, confidence scores. Create HTML dashboard (sortable table, filters). Analyze confidence distribution (histogram, percentiles). Document edge cases (<85% confidence)."
Outputs
Classification Results:
/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/ops/coditect-document-management/classification-results/classified_documents.json(6,655 entries)audit_trail.db(SQLite database)audit_trail_report.html(interactive dashboard)confidence_distribution.png(histogram)edge_cases.md(low-confidence classifications)
Metrics:
- Total documents: 6,655
- Successfully classified: 6,648 (99.9%)
- Escalations: 7 (0.1%)
- Average confidence: 92.3%
- Processing time: 8 days (automated)
Phase 6: Enterprise DMS Enhancement (Week 5-6)
Duration: 10 business days (February 3-14, 2026) Effort: 110 hours Agents Required: database-architect, senior-architect, devops-engineer, frontend-developer
Objectives
Enhance CODITECT Document Management with enterprise features:
- Frontmatter metadata indexing (PostgreSQL + pgvector)
- Semantic search integration (embedding-based retrieval)
- Analytics dashboard (real-time metrics)
- API endpoints (document management CRUD)
- Multi-tenant deployment (GCP/K8s)
Deliverables
| # | Deliverable | Owner | Hours | Completion Criteria |
|---|---|---|---|---|
| 6.1 | Frontmatter Metadata Indexing | database-architect | 16 | PostgreSQL schema with frontmatter fields indexed |
| 6.2 | Semantic Search Integration | senior-architect | 18 | pgvector embeddings, similarity search API |
| 6.3 | Analytics Dashboard | frontend-developer | 20 | React dashboard (doc stats, classification metrics) |
| 6.4 | API Endpoints | senior-architect | 16 | CRUD endpoints for documents (FastAPI) |
| 6.5 | Multi-Tenant Architecture | devops-engineer | 18 | GCP deployment, K8s manifests, tenant isolation |
| 6.6 | Performance Optimization | database-architect | 12 | Query optimization, caching (Redis), load testing |
| 6.7 | Integration Tests | senior-architect | 10 | API tests, end-to-end tests (90%+ coverage) |
Agent Coordination
Success Criteria
- ✅ Frontmatter metadata indexed (6,655 docs, <5s query time)
- ✅ Semantic search operational (95%+ recall at k=10)
- ✅ Analytics dashboard deployed (real-time updates)
- ✅ API endpoints documented (OpenAPI spec)
- ✅ Multi-tenant deployment tested (3 tenants, isolated data)
- ✅ Performance benchmarks met (1000 req/s, p95 <100ms)
Task Invocations
# Week 5-6, Day 1-3: Metadata Indexing
/agent database-architect "Design PostgreSQL schema for frontmatter metadata. Tables: documents (id, path, content), metadata (doc_id, key, value). Indexes on component_type, status, audience. Use JSONB for flexible schema. Store DDL in src/backend/database/schema/frontmatter_metadata.sql."
# Week 6, Day 2-5: Semantic Search
/agent senior-architect "Implement semantic search with pgvector. Generate embeddings (sentence-transformers), store in pgvector column. Similarity search API (/search/semantic?query=...&k=10). Hybrid search (keyword + semantic). Store in src/backend/api/search.py."
# Week 6, Day 4-7: Analytics Dashboard
/agent frontend-developer "Build React analytics dashboard. Visualizations: document count by type (pie chart), classification confidence (histogram), recent activity (timeline). Real-time updates (WebSocket). Use Recharts for visualization. Store in src/frontend/components/dashboards/AnalyticsDashboard.tsx."
# Week 6, Day 5-7: API Endpoints
/agent senior-architect "Implement CRUD API endpoints for documents. POST /documents (upload with frontmatter extraction), GET /documents/{id}, PUT /documents/{id} (update frontmatter), DELETE /documents/{id} (soft delete). Use FastAPI. Store in src/backend/api/documents.py."
# Week 6, Day 6-9: Multi-Tenant Deployment
/agent devops-engineer "Design multi-tenant K8s deployment. Namespace per tenant, PostgreSQL row-level security, separate Redis instances. GCP Cloud SQL for database, GKE for orchestration. Store manifests in config/kubernetes/multi-tenant/."
# Week 6, Day 8-10: Performance Optimization
/agent database-architect "Optimize Enterprise DMS performance. Add Redis caching (document metadata, search results). Query optimization (EXPLAIN ANALYZE, indexes). Load testing (Locust, 1000 concurrent users). Target: 1000 req/s, p95 latency <100ms."
Outputs
Database Schema:
src/backend/database/schema/frontmatter_metadata.sql
API Implementation:
src/backend/api/search.py(semantic search)src/backend/api/documents.py(CRUD operations)
Frontend Dashboard:
src/frontend/components/dashboards/AnalyticsDashboard.tsx
Deployment Configs:
config/kubernetes/multi-tenant/(K8s manifests)
Performance Reports:
docs/performance/load-testing-results.md
Phase 7: Testing & Validation (Week 6-7)
Duration: 10 business days (February 10-21, 2026) Effort: 100 hours Agents Required: testing-specialist, qa-reviewer, senior-architect
Objectives
Comprehensive testing and validation:
- Validate all 6,655 classifications (sample review)
- Edge case testing (low-confidence scenarios)
- Performance benchmarks (load testing)
- Quality assurance (production readiness)
Deliverables
| # | Deliverable | Owner | Hours | Completion Criteria |
|---|---|---|---|---|
| 7.1 | Classification Validation | qa-reviewer | 20 | Sample 1% (66 docs), validate 99.9%+ accuracy |
| 7.2 | Edge Case Testing | testing-specialist | 16 | Test all low-confidence cases, document failures |
| 7.3 | Performance Benchmarks | testing-specialist | 14 | Load testing (1000 req/s), latency profiling |
| 7.4 | Integration Testing | testing-specialist | 16 | End-to-end tests (document upload → classification → search) |
| 7.5 | Security Testing | qa-reviewer | 12 | OWASP Top 10, penetration testing |
| 7.6 | Quality Assurance Report | qa-reviewer | 12 | Production readiness checklist, sign-off |
| 7.7 | Bug Fixes & Refinements | senior-architect | 10 | Address issues found during testing |
Agent Coordination
Success Criteria
- ✅ Classification accuracy validated (99.9%+ on 66-doc sample)
- ✅ Edge cases handled (100% low-confidence cases tested)
- ✅ Performance benchmarks met (1000 req/s, p95 <100ms)
- ✅ Integration tests pass (95%+ coverage)
- ✅ Security tests pass (OWASP compliance)
- ✅ Production readiness approved (QA sign-off)
Task Invocations
# Week 6-7, Day 1-4: Classification Validation
/agent qa-reviewer "Validate MoE classification accuracy. Random sample: 66 documents (1% of 6,655). Manual review: verify component_type, doc_type, audience fields. Calculate accuracy (true positives / total). Target: 99.9%+ (≤1 error). Document discrepancies."
# Week 7, Day 3-6: Edge Case Testing
/agent testing-specialist "Test all edge cases from MoE classification. Focus on low-confidence cases (<85%), escalations, split judge decisions. Manually classify, compare to MoE output. Document failures, root causes. Target: 100% edge case coverage."
# Week 7, Day 4-7: Performance Benchmarks
/agent testing-specialist "Run performance benchmarks for Enterprise DMS. Load testing (Locust): 1000 concurrent users, 10K requests. Profile latency (p50, p95, p99). Stress testing (find breaking point). Document results, optimization recommendations."
# Week 7, Day 5-8: Integration Testing
/agent testing-specialist "Write end-to-end integration tests. Test workflows: upload document → MoE classification → frontmatter injection → semantic search → analytics dashboard. Use pytest + Selenium. Target: 95%+ coverage. Store in tests/integration/test_e2e.py."
# Week 7, Day 7-9: Security Testing
/agent qa-reviewer "Perform security testing on Enterprise DMS. OWASP Top 10 compliance (SQL injection, XSS, auth bypass). Penetration testing (API endpoints, authentication). Use OWASP ZAP, Burp Suite. Document vulnerabilities, severity ratings."
# Week 7, Day 9-10: QA Report & Sign-Off
/agent qa-reviewer "Generate production readiness report. Checklist: classification accuracy ✅, performance benchmarks ✅, security compliance ✅, test coverage ✅. Risk assessment (low/medium/high). Final recommendation: APPROVE for production deployment."
Outputs
Validation Reports:
docs/testing/classification-validation-report.md(66-doc sample results)docs/testing/edge-case-testing-report.md(low-confidence scenarios)
Performance Reports:
docs/performance/load-testing-results.md(Locust benchmarks)docs/performance/latency-profiling.md(p50/p95/p99 metrics)
Security Reports:
docs/security/owasp-compliance-report.md(Top 10 checklist)docs/security/penetration-testing-report.md(vulnerabilities found)
QA Certification:
docs/testing/production-readiness-report.md(final sign-off)
Phase 8: Documentation & Productization (Week 7-8)
Duration: 10 business days (February 17-28, 2026) Effort: 80 hours Agents Required: codi-documentation-writer, business-intelligence-analyst, product-strategist
Objectives
Complete product launch package:
- Product documentation (user guides, API reference)
- Customer onboarding (quick start, tutorials)
- Pricing/bundling materials
- Marketing collateral (website, sales deck)
Deliverables
| # | Deliverable | Owner | Hours | Completion Criteria |
|---|---|---|---|---|
| 8.1 | Product Documentation | codi-documentation-writer | 16 | User guide, admin guide, troubleshooting |
| 8.2 | API Documentation | codi-documentation-writer | 12 | OpenAPI spec, endpoint reference, examples |
| 8.3 | Customer Onboarding Guide | codi-documentation-writer | 10 | Quick start (10 min), tutorial (30 min) |
| 8.4 | Pricing/Bundling Materials | business-intelligence-analyst | 8 | Pricing sheet, bundle options, ROI calculator |
| 8.5 | Marketing Collateral | product-strategist | 12 | Website copy, sales deck, demo video |
| 8.6 | Release Notes | codi-documentation-writer | 6 | v1.0 features, migration guide, known issues |
| 8.7 | Internal Training Materials | codi-documentation-writer | 8 | Sales enablement, support training, FAQ |
| 8.8 | Launch Checklist | product-strategist | 8 | Pre-launch tasks, launch day plan, post-launch monitoring |
Agent Coordination
Success Criteria
- ✅ Product documentation complete (100+ pages)
- ✅ API documentation auto-generated (OpenAPI spec)
- ✅ Onboarding guide tested (10-min quick start works)
- ✅ Pricing materials approved (3 tiers defined)
- ✅ Marketing collateral ready (website copy, sales deck)
- ✅ Launch checklist complete (50+ tasks tracked)
Task Invocations
# Week 7-8, Day 1-4: Product Documentation
/agent codi-documentation-writer "Write comprehensive product documentation for CODITECT Document Management. User Guide: installation, configuration, document upload, search, analytics. Admin Guide: multi-tenant setup, performance tuning. Troubleshooting: common errors, solutions. Store in docs/product/."
# Week 8, Day 3-5: API Documentation
/agent codi-documentation-writer "Generate API documentation from OpenAPI spec. Endpoint reference (all routes + parameters), code examples (cURL, Python, JavaScript), authentication guide (JWT, API keys). Use Redoc for rendering. Store in docs/api/."
# Week 8, Day 4-6: Onboarding Guide
/agent codi-documentation-writer "Create customer onboarding guide. Quick Start (10 min): install, upload first document, run search. Tutorial (30 min): advanced features (semantic search, analytics, multi-tenant). Include screenshots, videos. Store in docs/getting-started/."
# Week 8, Day 5-6: Pricing Materials
/agent business-intelligence-analyst "Create pricing/bundling materials. Pricing sheet: Free (CORE), Pro ($49/mo), Enterprise (custom). Bundle options: CODITECT Suite (DMS + other products, 20% off). ROI calculator (Excel/Google Sheets). Store in docs/business/pricing/."
# Week 8, Day 6-8: Marketing Collateral
/agent product-strategist "Prepare marketing collateral for CODITECT Document Management. Website copy (landing page, features, testimonials). Sales deck (PowerPoint, 20 slides). Demo video (5 min, screencast). Competitive comparison. Store in marketing/."
# Week 8, Day 7-8: Release Notes
/agent codi-documentation-writer "Write v1.0 release notes. Features: MoE classification, frontmatter system, semantic search, analytics. Migration guide (from manual classification). Known issues (limitations, workarounds). Store in CHANGELOG.md."
# Week 8, Day 8-9: Training Materials
/agent codi-documentation-writer "Create internal training materials. Sales enablement (product overview, value prop, demos). Support training (common issues, troubleshooting). FAQ (50+ questions). Store in internal/training/."
# Week 8, Day 9-10: Launch Checklist
/agent product-strategist "Create product launch checklist. Pre-launch (documentation review, QA sign-off, marketing materials). Launch day (deployment, monitoring, announcement). Post-launch (customer feedback, bug tracking, iteration). Store in internal/launch/LAUNCH-CHECKLIST.md."
Outputs
Product Documentation:
docs/product/USER-GUIDE.md(50+ pages)docs/product/ADMIN-GUIDE.md(30+ pages)docs/product/TROUBLESHOOTING.md(20+ pages)
API Documentation:
docs/api/(auto-generated from OpenAPI spec)
Onboarding Materials:
docs/getting-started/QUICK-START.md(10-min guide)docs/getting-started/TUTORIAL.md(30-min guide)
Business Materials:
docs/business/pricing/PRICING-SHEET.mddocs/business/pricing/ROI-CALCULATOR.xlsx
Marketing Assets:
marketing/website-copy.mdmarketing/sales-deck.pptxmarketing/demo-video.mp4
Launch Materials:
CHANGELOG.md(v1.0 release notes)internal/launch/LAUNCH-CHECKLIST.md
Success Metrics
Classification Quality
| Metric | Target | Measurement Method |
|---|---|---|
| Overall Accuracy | ≥99.9% | Sample validation (66 docs) |
| Manual Interventions | 0 | Audit trail review |
| Audit Trail Coverage | 100% | All 6,655 docs logged |
| Average Confidence Score | ≥90% | Statistical analysis |
| Edge Case Handling | 100% | Low-confidence docs tested |
Product Readiness
| Metric | Target | Measurement Method |
|---|---|---|
| CODITECT-CORE Integration | Complete | All hooks + CLI tools operational |
| Enterprise DMS Features | Complete | Semantic search, analytics deployed |
| Documentation Coverage | 100% | All features documented |
| Pricing Strategy | Defined | 3 tiers (Free, Pro, Enterprise) |
| Launch Readiness | Approved | QA sign-off |
Performance Benchmarks
| Metric | Target | Measurement Method |
|---|---|---|
| API Throughput | ≥1000 req/s | Load testing (Locust) |
| Query Latency (p95) | <100ms | Performance profiling |
| Classification Speed | ≥100 docs/min | MoE system benchmarks |
| Search Recall (k=10) | ≥95% | Semantic search evaluation |
Timeline Adherence
| Phase | Planned Duration | Actual Duration | Variance |
|---|---|---|---|
| Phase 1 | 5 days | TBD | TBD |
| Phase 2 | 7 days | TBD | TBD |
| Phase 3 | 10 days | TBD | TBD |
| Phase 4 | 10 days | TBD | TBD |
| Phase 5 | 10 days | TBD | TBD |
| Phase 6 | 10 days | TBD | TBD |
| Phase 7 | 10 days | TBD | TBD |
| Phase 8 | 10 days | TBD | TBD |
| Total | 8 weeks | TBD | TBD |
Risk Management
Technical Risks
| Risk | Probability | Impact | Mitigation Strategy |
|---|---|---|---|
| MoE accuracy <99.9% | Medium | High | Incremental validation (100 doc sample first), tunable thresholds |
| Classification speed too slow | Low | Medium | Parallel processing (batches), GPU acceleration for embeddings |
| Integration issues (CORE ↔ DMS) | Low | High | Early integration testing (Phase 4), contract-based APIs |
| Performance degradation at scale | Medium | High | Load testing (Phase 7), caching (Redis), query optimization |
Product Risks
| Risk | Probability | Impact | Mitigation Strategy |
|---|---|---|---|
| Unclear product positioning | Low | High | Market research (Phase 2), competitive analysis, customer interviews |
| Pricing strategy rejected | Medium | Medium | ROI calculator, flexible pricing tiers, pilot program |
| Customer adoption low | Medium | High | Comprehensive onboarding (Phase 8), free tier (CORE), demo videos |
| Competitor launches similar product | Low | Medium | Speed to market (8-week timeline), unique MoE system |
Operational Risks
| Risk | Probability | Impact | Mitigation Strategy |
|---|---|---|---|
| Resource unavailability (agents) | Low | High | Buffer agents (2 extra per phase), flexible scheduling |
| Timeline slippage (>8 weeks) | Medium | Medium | Weekly checkpoints, phase prioritization (P0/P1/P2) |
| Scope creep (new features) | High | Medium | Strict scope freeze after Phase 2, feature backlog for v2.0 |
| Quality issues at launch | Low | High | Comprehensive testing (Phase 7), QA sign-off required |
Mitigation Action Plans
For MoE Accuracy <99.9%:
- Run 100-doc sample validation first (before full 6,655)
- Tune confidence thresholds (adjust from 95% to 90% if needed)
- Add 4th judge for tie-breaking (senior domain expert)
- Fallback: Manual review queue for <80% confidence
For Timeline Slippage:
- Daily stand-ups (15 min) during critical phases (3-5)
- Phase completion gates (cannot proceed without deliverables)
- Priority triage: P0 (must-have), P1 (should-have), P2 (nice-to-have)
- Parallel workstreams where possible (e.g., testing during development)
Agent Coordination Matrix
Agent Allocation by Phase
| Phase | Agents Required | Total Hours | Critical Path |
|---|---|---|---|
| 1 | orchestrator, senior-architect, ai-specialist | 60 | ADR-019 design |
| 2 | senior-architect, business-intelligence-analyst, product-strategist | 70 | Product strategy |
| 3 | rust-expert-developer, ai-specialist, senior-architect | 120 | MoE framework dev |
| 4 | senior-architect, codi-documentation-writer, rust-expert-developer | 90 | CORE integration |
| 5 | MoE System (autonomous) | 100 | Classification execution |
| 6 | database-architect, senior-architect, devops-engineer, frontend-developer | 110 | Enterprise features |
| 7 | testing-specialist, qa-reviewer, senior-architect | 100 | Validation & testing |
| 8 | codi-documentation-writer, business-intelligence-analyst, product-strategist | 80 | Documentation & launch |
Agent Utilization Chart
Week 1: [orchestrator] [senior-architect] [ai-specialist] [business-intelligence-analyst]
Week 2: [rust-expert-developer] [ai-specialist] [senior-architect] [product-strategist]
Week 3: [rust-expert-developer] [ai-specialist] [codi-documentation-writer]
Week 4: [rust-expert-developer] [orchestrator] [MoE System (autonomous)]
Week 5: [MoE System (autonomous)] [database-architect] [senior-architect]
Week 6: [database-architect] [devops-engineer] [frontend-developer] [testing-specialist]
Week 7: [testing-specialist] [qa-reviewer] [codi-documentation-writer]
Week 8: [codi-documentation-writer] [business-intelligence-analyst] [product-strategist]
Critical Dependencies
Critical Path: Phase 1 → Phase 3 → Phase 5 → Phase 7 (28 days minimum)
Parallel Workstreams:
- Phase 2 (Product Architecture) can run parallel with Phase 1 (MoE Design)
- Phase 4 (CORE Integration) can run parallel with Phase 3 (MoE Development)
- Phase 8 (Documentation) can start during Phase 7 (Testing)
Appendix A: Agent Invocation Reference
Phase 1 Agents
- orchestrator: Workflow coordination, task delegation
- senior-architect: ADR creation, system design, technical specifications
- ai-specialist: Consensus algorithms, ML models, agent protocols
Phase 2 Agents
- senior-architect: Product architecture, technical design
- business-intelligence-analyst: Pricing strategy, ROI analysis, market research
- product-strategist: Product roadmap, migration paths, positioning
Phase 3 Agents
- rust-expert-developer: Python development (analysts, judges, orchestrator)
- ai-specialist: ML model implementation (semantic analysis, embeddings)
- senior-architect: Code review, architecture validation
Phase 4 Agents
- senior-architect: Hook architecture, API design
- rust-expert-developer: Python implementation (hooks, CLI tools)
- codi-documentation-writer: User documentation, guides
Phase 5 Agents
- MoE Classification System: Autonomous execution (5 analysts + 3 judges + orchestrator)
Phase 6 Agents
- database-architect: PostgreSQL schema, query optimization
- senior-architect: API implementation, semantic search
- devops-engineer: K8s deployment, multi-tenant architecture
- frontend-developer: React dashboard, data visualization
Phase 7 Agents
- testing-specialist: Load testing, integration testing, benchmarking
- qa-reviewer: Manual validation, security testing, QA sign-off
- senior-architect: Bug fixes, refinements
Phase 8 Agents
- codi-documentation-writer: Product docs, API docs, onboarding guides
- business-intelligence-analyst: Pricing materials, ROI calculator
- product-strategist: Marketing collateral, launch planning
Appendix B: Deliverable Checklist
Phase 1 Deliverables
- ADR-019: MoE Document Classification System
- Agent Interaction Protocol Specification
- Consensus Algorithm Design (with mathematical proof)
- Confidence Scoring Methodology
- Escalation Workflow Design
- System Architecture Diagrams (C4 - 3 levels)
Phase 2 Deliverables
- CODITECT-CORE Frontmatter Design
- Enterprise DMS Product Specification
- Bundling/Licensing Strategy
- Customer Value Proposition
- Migration Path Design
- Product Roadmap (12 months)
Phase 3 Deliverables
- 5 Analyst Agents (structural, content, metadata, semantic, pattern)
- 3 Judge Agents (consistency, quality, domain)
- Orchestration Engine
- Audit Trail System
- Unit Tests (85%+ coverage)
Phase 4 Deliverables
- Document Creation Hook
- Document Modification Hook
- CLI Tool: frontmatter-init
- CLI Tool: frontmatter-validate
- CLI Tool: frontmatter-update
- Migration Scripts
- Integration Tests (90%+ coverage)
- User Documentation
Phase 5 Deliverables
- 6,655 Documents Classified
- Audit Trail Reports (JSON + HTML)
- Confidence Distribution Analysis
- Edge Case Documentation
Phase 6 Deliverables
- Frontmatter Metadata Indexing (PostgreSQL)
- Semantic Search Integration (pgvector)
- Analytics Dashboard (React)
- API Endpoints (CRUD)
- Multi-Tenant Architecture (GCP/K8s)
- Performance Optimization (Redis caching)
- Integration Tests (90%+ coverage)
Phase 7 Deliverables
- Classification Validation Report (66-doc sample)
- Edge Case Testing Report
- Performance Benchmarks (load testing)
- Integration Tests (end-to-end)
- Security Testing Report (OWASP compliance)
- Production Readiness Report (QA sign-off)
Phase 8 Deliverables
- Product Documentation (100+ pages)
- API Documentation (OpenAPI spec)
- Customer Onboarding Guide (quick start + tutorial)
- Pricing/Bundling Materials
- Marketing Collateral (website, sales deck, demo video)
- Release Notes (v1.0)
- Internal Training Materials
- Launch Checklist
Appendix C: Next Steps (Week 1 Action Items)
Day 1-2 (January 6-7, 2026)
- ✅ Review this orchestration plan - Read entire document, understand 8-phase approach
- ⏳ Stakeholder approval - Present plan to leadership for go/no-go decision
- ⏳ Resource allocation - Confirm agent availability for Phases 1-3
- ⏳ Environment setup - Provision development environments (Python, PostgreSQL, Redis)
Day 3-4 (January 8-9, 2026)
- ⏳ Begin Phase 1 - Invoke orchestrator, senior-architect, ai-specialist for MoE design
- ⏳ Parallel: Begin Phase 2 - Invoke senior-architect, business-intelligence-analyst for product architecture
- ⏳ Daily stand-ups - 15-min sync meetings (team coordination)
Day 5 (January 10, 2026)
- ⏳ Phase 1 checkpoint - Review ADR-019 draft, consensus algorithm design
- ⏳ Phase 2 checkpoint - Review product architecture draft, pricing strategy
- ⏳ Week 1 retrospective - Lessons learned, timeline adjustments
Weekly Milestones
- Week 1: Phase 1 + 2 complete (MoE design + product architecture)
- Week 2: Phase 3 started (MoE framework development)
- Week 3: Phase 3 + 4 in progress (framework dev + CORE integration)
- Week 4: Phase 5 started (autonomous classification begins)
- Week 5: Phase 5 + 6 in progress (classification + enterprise features)
- Week 6: Phase 6 + 7 in progress (enterprise features + testing)
- Week 7: Phase 7 + 8 in progress (testing + documentation)
- Week 8: Phase 8 complete (launch ready)
Orchestration Plan Status: READY FOR EXECUTION Next Action: Stakeholder approval + resource allocation Go-Live Date: March 3, 2026 (subject to Phase 1-2 completion)
Document Version: 1.0 Last Updated: December 27, 2025 Author: Claude Opus 4.5 (orchestrator agent) Approval Required: Hal Casteel (Founder/CEO/CTO)