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+# Q&A System Implementation Roadmap
+
+This document provides a detailed, actionable roadmap for implementing the high-quality Q&A collection system described in [QA_SYSTEM_DESIGN.md](./QA_SYSTEM_DESIGN.md).
+
+## Executive Summary
+
+The Q&A system will be built in 5 major phases over 15 months, with each phase delivering concrete, usable features. The system integrates with existing deep-assistant infrastructure and follows the organization's technical direction (JavaScript transition, API gateway usage, etc.).
+
+## Phase 1: Foundation (Months 1-3)
+
+### Objectives
+- Create a functional Q&A platform with core features
+- Establish database schema and API structure
+- Implement basic user authentication
+- Deploy a working prototype
+
+### Technical Stack Selection
+
+**Backend:**
+- **Language:** TypeScript
+- **Runtime:** Node.js (with migration path to Bun per roadmap #15)
+- **Framework:** Express.js (or Fastify for better performance)
+- **Database:** PostgreSQL 14+
+- **ORM:** Prisma (modern, TypeScript-first)
+- **Cache:** Redis 7+
+- **Search:** Elasticsearch 8+ or Meilisearch (lighter alternative)
+
+**Frontend:**
+- **Framework:** React 18+ with Next.js for SSR
+- **State:** React Context + React Query for server state
+- **UI:** Tailwind CSS for styling
+- **Forms:** React Hook Form
+- **Markdown:** MDX for rich content
+
+**Infrastructure:**
+- **Containerization:** Docker & Docker Compose
+- **Reverse Proxy:** Nginx
+- **Storage:** MinIO (S3-compatible) for attachments
+- **Monitoring:** Prometheus + Grafana (future)
+
+### Milestone 1.1: Database Schema (Weeks 1-2)
+
+**Tasks:**
+1. Design PostgreSQL schema based on design document
+2. Create Prisma schema file
+3. Set up migration system
+4. Add seed data scripts
+5. Write database documentation
+
+**Schema Files:**
+```
+prisma/
+├── schema.prisma          # Main schema definition
+├── migrations/            # Auto-generated migrations
+└── seed.ts               # Seed data script
+```
+
+**Key Tables:**
+- users (id, email, username, password_hash, reputation, created_at, updated_at)
+- questions (id, title, body, author_id, created_at, modified_at, views, votes, quality_score, tags)
+- answers (id, question_id, body, author_id, created_at, modified_at, votes, quality_score)
+- edits (id, entity_type, entity_id, author_id, diff, reason, created_at, review_status)
+- comments (id, entity_type, entity_id, author_id, body, created_at)
+- votes (id, entity_type, entity_id, user_id, value, created_at)
+- tags (id, name, description, usage_count)
+
+**Deliverable:** Working database with migrations and seed data
+
+### Milestone 1.2: Core API (Weeks 3-4)
+
+**Tasks:**
+1. Set up Express.js server structure
+2. Implement REST API endpoints
+3. Add request validation (Zod)
+4. Implement error handling middleware
+5. Add API documentation (Swagger/OpenAPI)
+6. Write API tests
+
+**API Endpoints:**
+
+```typescript
+// Questions
+POST   /api/v1/questions              # Create question
+GET    /api/v1/questions              # List questions (paginated)
+GET    /api/v1/questions/:id          # Get question details
+PATCH  /api/v1/questions/:id          # Edit question
+DELETE /api/v1/questions/:id          # Delete question
+POST   /api/v1/questions/:id/vote     # Vote on question
+
+// Answers
+POST   /api/v1/questions/:id/answers  # Create answer
+GET    /api/v1/questions/:id/answers  # List answers
+PATCH  /api/v1/answers/:id            # Edit answer
+DELETE /api/v1/answers/:id            # Delete answer
+POST   /api/v1/answers/:id/vote       # Vote on answer
+
+// Users
+POST   /api/v1/users/register         # Register
+POST   /api/v1/users/login            # Login
+GET    /api/v1/users/me               # Get current user
+GET    /api/v1/users/:id              # Get user profile
+PATCH  /api/v1/users/:id              # Update profile
+
+// Search
+GET    /api/v1/search                 # Search questions/answers
+
+// Tags
+GET    /api/v1/tags                   # List tags
+GET    /api/v1/tags/:name             # Get tag details
+```
+
+**Deliverable:** Complete REST API with tests
+
+### Milestone 1.3: Authentication System (Weeks 5-6)
+
+**Tasks:**
+1. Implement JWT authentication
+2. Add password hashing (bcrypt)
+3. Create user registration/login
+4. Implement session management
+5. Add role-based access control (RBAC)
+6. Integrate with API gateway for unified auth
+
+**User Roles:**
+- **Guest:** View only
+- **User:** Post, vote, comment (reputation > 1)
+- **Trusted User:** Edit own content (reputation > 50)
+- **Editor:** Edit any content (reputation > 500)
+- **Moderator:** Moderation actions (assigned)
+- **Admin:** Full access (assigned)
+
+**Deliverable:** Secure authentication system
+
+### Milestone 1.4: Basic Web UI (Weeks 7-9)
+
+**Tasks:**
+1. Set up Next.js project
+2. Create page layouts and components
+3. Implement question listing page
+4. Implement question detail page
+5. Create question/answer posting forms
+6. Add markdown editor
+7. Implement user authentication UI
+8. Add responsive design
+
+**Key Pages:**
+- `/` - Home page with featured questions
+- `/questions` - Question listing
+- `/questions/:id` - Question detail with answers
+- `/questions/ask` - Ask a question
+- `/users/:id` - User profile
+- `/tags` - Tag listing
+- `/tags/:name` - Questions by tag
+- `/login` - Login page
+- `/register` - Registration page
+
+**Deliverable:** Functional web interface
+
+### Milestone 1.5: Search Functionality (Weeks 10-11)
+
+**Tasks:**
+1. Set up Elasticsearch or Meilisearch
+2. Create indexing pipeline
+3. Implement full-text search
+4. Add search filters (tags, date, score)
+5. Implement search suggestions
+6. Add search result highlighting
+
+**Search Features:**
+- Full-text search across questions and answers
+- Tag filtering
+- Sort by relevance, votes, date
+- Advanced syntax support
+- Real-time search suggestions
+
+**Deliverable:** Working search system
+
+### Milestone 1.6: Deployment & Testing (Week 12)
+
+**Tasks:**
+1. Create Docker Compose setup
+2. Write deployment documentation
+3. Set up CI/CD pipeline (GitHub Actions)
+4. Perform integration testing
+5. Load testing and optimization
+6. Deploy to staging environment
+
+**CI/CD Pipeline:**
+```yaml
+# .github/workflows/ci.yml
+- Lint code (ESLint, Prettier)
+- Type check (TypeScript)
+- Run unit tests (Jest)
+- Run integration tests
+- Build Docker images
+- Deploy to staging
+```
+
+**Deliverable:** Deployed prototype with CI/CD
+
+### Phase 1 Success Criteria
+- ✅ Database with at least 50 seed questions
+- ✅ REST API with 100% test coverage on core endpoints
+- ✅ Working web UI for all basic operations
+- ✅ User authentication and authorization
+- ✅ Search functionality
+- ✅ Automated deployment pipeline
+
+---
+
+## Phase 2: AI Integration (Months 4-6)
+
+### Objectives
+- Add AI-powered quality assessment
+- Implement automated content moderation
+- Integrate with existing API gateway
+- Create moderation dashboard
+
+### Milestone 2.1: API Gateway Integration (Weeks 13-14)
+
+**Tasks:**
+1. Connect to deep-assistant/api-gateway
+2. Configure AI model providers
+3. Implement failover and rate limiting
+4. Add AI request/response logging
+5. Create AI service abstraction layer
+
+**Integration Points:**
+```typescript
+// AI Service Interface
+interface AIService {
+  assessQuality(content: string): Promise<QualityScore>;
+  extractFacts(content: string): Promise<Claim[]>;
+  detectSpam(content: string): Promise<SpamScore>;
+  suggestTags(content: string): Promise<string[]>;
+  generateSummary(content: string): Promise<string>;
+}
+```
+
+**Deliverable:** AI service integration
+
+### Milestone 2.2: Quality Assessment System (Weeks 15-16)
+
+**Tasks:**
+1. Design quality scoring algorithm
+2. Implement AI-based content assessment
+3. Create quality score UI indicators
+4. Add quality trends tracking
+5. Build quality improvement suggestions
+
+**Quality Metrics:**
+- **Clarity:** Is the question/answer clear?
+- **Completeness:** Does it cover the topic fully?
+- **Accuracy:** Are claims correct? (Phase 3)
+- **Code Quality:** Are code examples good?
+- **Formatting:** Is it well-structured?
+
+**Scoring:**
+```typescript
+interface QualityScore {
+  overall: number;        // 0-100
+  clarity: number;        // 0-100
+  completeness: number;   // 0-100
+  codeQuality: number;    // 0-100
+  formatting: number;     // 0-100
+  suggestions: string[];  // Improvement suggestions
+}
+```
+
+**Deliverable:** Quality assessment engine
+
+### Milestone 2.3: Automated Moderation (Weeks 17-18)
+
+**Tasks:**
+1. Implement spam detection
+2. Add duplicate detection
+3. Create content policy checker
+4. Build moderation queue
+5. Add appeal system
+6. Create moderation API
+
+**Moderation Pipeline:**
+```
+Content Submission
+    ↓
+[Spam Check] → Reject if spam
+    ↓
+[Policy Check] → Flag if violation
+    ↓
+[Quality Check] → Flag if low quality
+    ↓
+[Duplicate Check] → Suggest merge
+    ↓
+[Auto-decision or Queue]
+```
+
+**Deliverable:** Automated moderation system
+
+### Milestone 2.4: Code Analysis (Weeks 19-20)
+
+**Tasks:**
+1. Implement code extraction from answers
+2. Add syntax highlighting detection
+3. Create code quality checker
+4. Add security vulnerability scanning
+5. Implement code execution sandbox (optional)
+6. Add code improvement suggestions
+
+**Code Checkers:**
+- Syntax validation
+- Security issues (SQL injection, XSS in examples)
+- Best practices adherence
+- Performance anti-patterns
+- Deprecated API usage
+
+**Deliverable:** Code quality system
+
+### Milestone 2.5: Moderation Dashboard (Weeks 21-22)
+
+**Tasks:**
+1. Design admin dashboard UI
+2. Create moderation queue interface
+3. Add AI decision review panel
+4. Implement bulk moderation actions
+5. Add moderation statistics
+6. Create audit log viewer
+
+**Dashboard Features:**
+- Pending review queue
+- AI decision history
+- Appeal management
+- User reputation management
+- Content reports
+- Moderation statistics
+
+**Deliverable:** Admin moderation dashboard
+
+### Milestone 2.6: AI Training Data Collection (Weeks 23-24)
+
+**Tasks:**
+1. Track AI moderation decisions
+2. Collect human overrides
+3. Build feedback loop for model improvement
+4. Create training data export
+5. Document AI improvement process
+
+**Deliverable:** AI improvement system
+
+### Phase 2 Success Criteria
+- ✅ AI quality assessment on all new content
+- ✅ 90%+ spam detection accuracy
+- ✅ Duplicate detection working
+- ✅ Functional moderation dashboard
+- ✅ AI decisions are appealable
+- ✅ Integration with api-gateway working
+
+---
+
+## Phase 3: Statements Database (Months 7-9)
+
+### Objectives
+- Build statements database
+- Implement fact extraction
+- Create verification system
+- Add source management
+
+### Milestone 3.1: Statements DB Schema (Weeks 25-26)
+
+**Tasks:**
+1. Design statements database schema
+2. Create API for statement management
+3. Build statement CRUD operations
+4. Add versioning for statements
+5. Implement source tracking
+
+**Schema:**
+```sql
+statements (
+  id, statement, category, confidence,
+  language, created_at, updated_at
+)
+
+statement_sources (
+  id, statement_id, source_url, source_type,
+  verification_date, language, is_refutation
+)
+
+statement_references (
+  id, statement_id, entity_type, entity_id,
+  text_position, added_at
+)
+
+statement_history (
+  id, statement_id, field_changed, old_value,
+  new_value, changed_by, changed_at
+)
+```
+
+**Deliverable:** Statements database
+
+### Milestone 3.2: Fact Extraction (Weeks 27-28)
+
+**Tasks:**
+1. Implement AI-based fact extraction
+2. Create claim detection algorithm
+3. Add claim categorization
+4. Build fact extraction API
+5. Create UI for fact review
+
+**Fact Types:**
+- Technical specifications
+- API behavior
+- Language features
+- Framework capabilities
+- Performance characteristics
+- Historical facts
+
+**Deliverable:** Fact extraction system
+
+### Milestone 3.3: Verification System (Weeks 29-30)
+
+**Tasks:**
+1. Implement source verification
+2. Create web-capture integration for archiving
+3. Add confidence scoring
+4. Build verification workflow
+5. Create verification UI
+
+**Verification Flow:**
+1. Extract claim from content
+2. Search statements database
+3. If found, link to statement
+4. If not found, create pending statement
+5. Queue for source verification
+6. Community can submit sources
+7. Update confidence score
+
+**Deliverable:** Verification system
+
+### Milestone 3.4: Source Management (Weeks 31-32)
+
+**Tasks:**
+1. Build source submission interface
+2. Implement source quality assessment
+3. Add source archiving (web-capture)
+4. Create source conflict resolution
+5. Add multi-language source support
+
+**Source Types:**
+- Official documentation
+- Academic papers
+- Technical blogs
+- GitHub repositories
+- Stack Overflow (as weak source)
+- Books and publications
+
+**Deliverable:** Source management system
+
+### Milestone 3.5: Fact Display & Integration (Weeks 33-34)
+
+**Tasks:**
+1. Add fact verification indicators to UI
+2. Create statement tooltip/popover
+3. Implement statement detail pages
+4. Add verification badge system
+5. Create statements browser
+
+**UI Elements:**
+- ✅ Verified claim (high confidence)
+- ⚠️ Unverified claim
+- ❌ Disputed claim
+- 🔍 Verification in progress
+
+**Deliverable:** Integrated fact display
+
+### Milestone 3.6: Public Statements API (Weeks 35-36)
+
+**Tasks:**
+1. Create public API for statements
+2. Add export functionality
+3. Implement API documentation
+4. Add rate limiting
+5. Create SDK for common languages
+
+**API Endpoints:**
+```
+GET  /api/v1/statements
+GET  /api/v1/statements/:id
+GET  /api/v1/statements/search
+POST /api/v1/statements
+POST /api/v1/statements/:id/sources
+GET  /api/v1/export/statements
+```
+
+**Deliverable:** Public statements API
+
+### Phase 3 Success Criteria
+- ✅ Statements database with 1000+ verified facts
+- ✅ Automatic fact extraction from answers
+- ✅ Visible verification indicators
+- ✅ Community source submission working
+- ✅ Integration with web-capture service
+- ✅ Public API for statements
+
+---
+
+## Phase 4: Advanced Features (Months 10-12)
+
+### Objectives
+- Implement conversation continuation
+- Add Q&A forking capability
+- Build knowledge profiling
+- Create adaptive content system
+
+### Milestone 4.1: Conversation System (Weeks 37-39)
+
+**Tasks:**
+1. Design conversation database schema
+2. Create chat interface component
+3. Implement context building from Q&A
+4. Add conversation persistence
+5. Integrate with telegram-bot
+6. Add conversation to Q&A conversion
+
+**Conversation Features:**
+- Start conversation from any Q&A
+- Full Q&A context available to AI
+- Save conversation history
+- Convert good conversations to Q&As
+- Share conversation links
+
+**Telegram Bot Integration:**
+```
+/qa <question-id>  # Open Q&A in conversation
+/qa search <query> # Search Q&As
+/qa save           # Save conversation as Q&A
+```
+
+**Deliverable:** Conversation system
+
+### Milestone 4.2: Q&A Forking (Weeks 40-42)
+
+**Tasks:**
+1. Implement fork database schema
+2. Create fork UI/UX
+3. Add fork tracking
+4. Build fork visualization
+5. Implement fork merging
+6. Add fork comparison
+
+**Fork Use Cases:**
+- Alternative solutions
+- Language-specific versions
+- Framework-specific versions
+- Simplified/advanced versions
+- Updated for new versions
+
+**Fork Metadata:**
+```typescript
+interface Fork {
+  id: string;
+  parentId: string;
+  title: string;
+  reason: ForkReason;
+  changes: Change[];
+  author: User;
+  upvotes: number;
+}
+
+enum ForkReason {
+  ALTERNATIVE_SOLUTION,
+  LANGUAGE_VARIANT,
+  FRAMEWORK_VARIANT,
+  SIMPLIFICATION,
+  MODERNIZATION,
+  OTHER
+}
+```
+
+**Deliverable:** Q&A forking system
+
+### Milestone 4.3: Knowledge Profiling (Weeks 43-44)
+
+**Tasks:**
+1. Design user knowledge schema
+2. Implement interaction tracking
+3. Create knowledge inference algorithm
+4. Build knowledge level calculator
+5. Add profile visualization
+6. Create privacy controls
+
+**Tracking Metrics:**
+- Questions asked per tag
+- Answers provided per tag
+- Votes received per tag
+- Edits accepted per tag
+- Time spent on topics
+- Vocabulary used
+
+**Knowledge Levels:**
+- Novice (0-10 interactions)
+- Beginner (11-50 interactions)
+- Intermediate (51-200 interactions)
+- Advanced (201-1000 interactions)
+- Expert (1000+ interactions)
+
+**Deliverable:** Knowledge profiling system
+
+### Milestone 4.4: Content Adaptation Engine (Weeks 45-46)
+
+**Tasks:**
+1. Design adaptation algorithm
+2. Create multiple answer versions
+3. Implement dynamic rendering
+4. Add progressive disclosure
+5. Create term expansion system
+6. Add user preference controls
+
+**Adaptation Strategies:**
+1. **Static Multi-version:** Pre-generate 3 versions (beginner/intermediate/expert)
+2. **Dynamic Generation:** Generate on-demand using AI
+3. **Hybrid:** Cache common variations, generate rare ones
+
+**User Controls:**
+- Manual level selection
+- "Simplify" / "More detail" buttons
+- Term glossary toggle
+- Code example verbosity
+
+**Deliverable:** Content adaptation engine
+
+### Milestone 4.5: Answer Style System (Weeks 47-48)
+
+**Tasks:**
+1. Define answer style templates
+2. Implement style transformation
+3. Create style preview
+4. Add style preferences
+5. Build style recommendation
+
+**Answer Styles:**
+- **Tutorial:** Step-by-step with explanations
+- **Reference:** Concise, documentation-style
+- **Conceptual:** Theory-focused with examples
+- **Practical:** Code-heavy with minimal explanation
+- **Comparative:** Multiple approaches compared
+
+**Deliverable:** Answer style system
+
+### Phase 4 Success Criteria
+- ✅ Conversation continuation working
+- ✅ Forking creates useful variations
+- ✅ Knowledge profiling tracks user level
+- ✅ Content adapts to user knowledge
+- ✅ Multiple answer styles available
+- ✅ Telegram bot integration complete
+
+---
+
+## Phase 5: Dataset & Public Release (Months 13-15)
+
+### Objectives
+- Create public domain datasets
+- Build export functionality
+- Launch public API
+- Open to community contributions
+
+### Milestone 5.1: Dataset Export System (Weeks 49-51)
+
+**Tasks:**
+1. Design export formats
+2. Implement full database export
+3. Create incremental exports
+4. Add quality filtering
+5. Build export scheduler
+6. Create export documentation
+
+**Export Formats:**
+- **JSON:** Complete structured data
+- **JSONL:** Training data format
+- **CSV:** Simplified for analysis
+- **SQL:** Database dumps
+- **XML:** For compatibility
+
+**Dataset Versions:**
+- `all` - Complete dataset
+- `verified` - Only verified content
+- `high-quality` - Quality score > 0.8
+- `training` - Formatted for ML training
+
+**Deliverable:** Dataset export system
+
+### Milestone 5.2: Public API (Weeks 52-54)
+
+**Tasks:**
+1. Create public API documentation
+2. Implement API key system
+3. Add rate limiting
+4. Build API usage dashboard
+5. Create API examples
+6. Write client libraries (JS, Python)
+
+**Public API Features:**
+- Read access to all Q&As
+- Search functionality
+- Statement database access
+- Dataset downloads
+- Webhook support for updates
+
+**Rate Limits:**
+- Free tier: 1000 requests/day
+- Developer tier: 10000 requests/day
+- Enterprise: Custom
+
+**Deliverable:** Production-ready public API
+
+### Milestone 5.3: GitHub Pages Site (Weeks 55-56)
+
+**Tasks:**
+1. Create static site generator
+2. Build browsable Q&A pages
+3. Add search interface
+4. Create statements browser
+5. Add API documentation
+6. Deploy to GitHub Pages
+
+**Site Structure:**
+```
+https://deep-assistant.github.io/qa-collection/
+├── questions/
+│   ├── how-to-read-file-python/
+│   └── async-await-javascript/
+├── statements/
+│   └── python-312-type-keyword/
+├── api/
+│   └── documentation/
+└── datasets/
+    └── downloads/
+```
+
+**Deliverable:** Public GitHub Pages site
+
+### Milestone 5.4: Community Onboarding (Weeks 57-58)
+
+**Tasks:**
+1. Write contribution guidelines
+2. Create community documentation
+3. Build contributor dashboard
+4. Add gamification elements
+5. Create leaderboards
+6. Launch community forum
+
+**Contribution Types:**
+- Ask questions
+- Answer questions
+- Edit for quality
+- Submit fact sources
+- Report issues
+- Moderate content
+
+**Reputation System:**
+- Question upvote: +5
+- Answer upvote: +10
+- Edit accepted: +2
+- Source verified: +5
+- Quality contribution: +20
+
+**Deliverable:** Community system
+
+### Milestone 5.5: Integration Ecosystem (Weeks 59-60)
+
+**Tasks:**
+1. Create VS Code extension
+2. Build browser extension
+3. Add Discord bot
+4. Create Slack integration
+5. Build CLI tool
+6. Write integration docs
+
+**Integrations:**
+- **VS Code:** Search Q&A from editor
+- **Browser:** Quick access extension
+- **Discord:** /qa command in servers
+- **Slack:** Q&A search and notifications
+- **CLI:** Command-line Q&A access
+
+**Deliverable:** Integration ecosystem
+
+### Milestone 5.6: Launch & Marketing (Weeks 61-63)
+
+**Tasks:**
+1. Prepare launch announcement
+2. Create demo videos
+3. Write blog posts
+4. Submit to communities
+5. Create press kit
+6. Launch monitoring
+
+**Launch Channels:**
+- Hacker News
+- Reddit (r/programming, r/webdev)
+- Dev.to
+- Product Hunt
+- Twitter/X
+- LinkedIn
+
+**Deliverable:** Public launch
+
+### Phase 5 Success Criteria
+- ✅ Public dataset available
+- ✅ Public API documented and stable
+- ✅ GitHub Pages site live
+- ✅ 100+ community contributors
+- ✅ 10,000+ questions
+- ✅ Multiple integrations available
+
+---
+
+## Resource Requirements
+
+### Team Composition
+
+**Phase 1 (Foundation):**
+- 1 Full-stack developer
+- 1 Backend developer
+- 1 Frontend developer
+- 1 DevOps engineer (part-time)
+
+**Phase 2 (AI Integration):**
+- 1 AI/ML engineer
+- 1 Backend developer
+- 1 Frontend developer
+- Existing team continues
+
+**Phase 3 (Statements DB):**
+- 1 Data engineer
+- 1 Backend developer
+- Existing team continues
+
+**Phase 4 (Advanced Features):**
+- 1 Full-stack developer
+- 1 AI/ML engineer
+- Existing team continues
+
+**Phase 5 (Public Release):**
+- 1 DevRel engineer
+- 1 Technical writer
+- 1 Community manager
+- Existing team continues
+
+### Infrastructure Costs (Monthly)
+
+**Development Environment:**
+- Development servers: $200
+- Database: $100
+- Redis: $50
+- Elasticsearch: $150
+- Total: $500/month
+
+**Production Environment (Phase 1-2):**
+- Application servers: $500
+- Database (PostgreSQL): $300
+- Cache (Redis): $100
+- Search (Elasticsearch): $400
+- Storage: $100
+- CDN: $50
+- Monitoring: $50
+- Total: $1,500/month
+
+**Production Environment (Phase 5):**
+- Application servers: $2,000
+- Database: $800
+- Cache: $300
+- Search: $1,000
+- Storage: $500
+- CDN: $200
+- Monitoring: $200
+- Total: $5,000/month
+
+**AI Costs (varies by usage):**
+- API calls: $500-2,000/month
+- Can leverage existing api-gateway infrastructure
+
+### Timeline Summary
+
+```
+Month 1-3:   Phase 1 - Foundation
+Month 4-6:   Phase 2 - AI Integration
+Month 7-9:   Phase 3 - Statements Database
+Month 10-12: Phase 4 - Advanced Features
+Month 13-15: Phase 5 - Dataset & Public Release
+```
+
+**Total Project Duration:** 15 months
+
+**Minimum Viable Product (MVP):** End of Phase 1 (Month 3)
+**Feature Complete:** End of Phase 4 (Month 12)
+**Public Launch:** End of Phase 5 (Month 15)
+
+## Risk Management
+
+### Technical Risks
+
+| Risk | Impact | Mitigation |
+|------|--------|-----------|
+| AI quality assessment inaccurate | High | Human review for high-stakes decisions |
+| Scaling issues with traffic | High | Progressive load testing, caching strategy |
+| Search performance degradation | Medium | Proper indexing, query optimization |
+| Data consistency issues | High | Comprehensive testing, transactions |
+| Security vulnerabilities | Critical | Regular audits, penetration testing |
+
+### Business Risks
+
+| Risk | Impact | Mitigation |
+|------|--------|-----------|
+| Low community adoption | High | Strong initial content, marketing |
+| Competition from existing platforms | Medium | Unique features (AI, forking, statements) |
+| Content quality concerns | High | Strong moderation, quality scoring |
+| Spam and abuse | Medium | AI moderation, rate limiting |
+| Funding for infrastructure | Medium | Start small, scale as needed |
+
+### Timeline Risks
+
+| Risk | Impact | Mitigation |
+|------|--------|-----------|
+| Phase delays | Medium | Buffer time, MVP-first approach |
+| Dependency on external services | Low | Use existing infrastructure |
+| Team availability | Medium | Clear documentation, knowledge sharing |
+| Scope creep | High | Strict phase boundaries, MVP focus |
+
+## Success Metrics by Phase
+
+### Phase 1 Success Metrics
+- 50+ seed questions
+- 100+ users registered
+- API latency < 200ms
+- 95% API uptime
+- 100% test coverage on core features
+
+### Phase 2 Success Metrics
+- 90%+ spam detection accuracy
+- 95%+ of content quality-assessed within 1 minute
+- < 5% false positive rate in moderation
+- 80%+ user satisfaction with quality
+
+### Phase 3 Success Metrics
+- 1,000+ verified statements
+- 80%+ of factual claims linked to statements
+- 100+ community-submitted sources
+- 90%+ confidence in top statements
+
+### Phase 4 Success Metrics
+- 500+ conversations started
+- 100+ useful forks created
+- 80%+ users find adapted content helpful
+- 70%+ engagement with conversation feature
+
+### Phase 5 Success Metrics
+- 10,000+ questions
+- 1,000+ daily active users
+- 100+ community contributors
+- 10,000+ API calls per day
+- 5 integrations launched
+
+## Next Steps
+
+1. **Get Approval:** Present this roadmap to stakeholders
+2. **Resource Allocation:** Secure team and infrastructure
+3. **Kickoff:** Begin Phase 1 development
+4. **Regular Reviews:** Monthly progress reviews
+5. **Community Building:** Start building community early
+6. **Documentation:** Continuous documentation throughout
+
+## Related Documents
+
+- [QA_SYSTEM_DESIGN.md](./QA_SYSTEM_DESIGN.md) - Complete system architecture
+- [SEED_QUESTIONS.md](./SEED_QUESTIONS.md) - Initial question list
+- [Issue #27](https://github.com/deep-assistant/master-plan/issues/27) - Original requirements
+
+## Appendices
+
+### Appendix A: Technology Alternatives
+
+**Database Alternatives:**
+- MySQL/MariaDB: More familiar, but PostgreSQL has better JSON support
+- MongoDB: Good for flexibility, but harder to maintain consistency
+- **Choice: PostgreSQL** - Best balance of features and reliability
+
+**Search Alternatives:**
+- Algolia: Excellent but expensive
+- Meilisearch: Lightweight, good for MVP
+- Elasticsearch: Industry standard, full-featured
+- **Choice: Start with Meilisearch, migrate to Elasticsearch if needed**
+
+**Framework Alternatives:**
+- NestJS: More opinionated, great for large teams
+- Fastify: Faster than Express
+- **Choice: Express** - Most familiar, good ecosystem
+
+### Appendix B: Migration from Python to JavaScript
+
+Per roadmap item #20, the project should use JavaScript:
+
+**Why JavaScript?**
+- Organization direction
+- Better async handling
+- Rich ecosystem for web
+- TypeScript for type safety
+- Easier frontend/backend sharing
+
+**Migration Considerations:**
+- Team training may be needed
+- Leverage TypeScript for safety
+- Use established patterns (Prisma ORM, etc.)
+
+### Appendix C: Integration with Existing Projects
+
+**API Gateway (deep-assistant/api-gateway):**
+- Use for all AI model access
+- Leverage multi-provider failover
+- Consistent rate limiting
+- Unified authentication
+
+**Telegram Bot (deep-assistant/telegram-bot):**
+- Add /qa command
+- Search Q&A from Telegram
+- Get notifications on subscribed topics
+- Continue conversations
+
+**Web Capture (deep-assistant/web-capture):**
+- Archive external sources
+- Capture documentation
+- Store evidence for statements
+
+**Support Bot (deep-assistant/support-bot):**
+- Identify common issues
+- Auto-create Q&As from frequent questions
+- Feedback loop for content gaps
diff --git a/QA_SYSTEM_DESIGN.md b/QA_SYSTEM_DESIGN.md
new file mode 100644
index 0000000..299319d
--- /dev/null
+++ b/QA_SYSTEM_DESIGN.md
@@ -0,0 +1,946 @@
+# High Quality Q&A Collection System - Design Document
+
+## Overview
+
+This document outlines the design for a next-generation Q&A collection system that combines the best aspects of Stack Overflow's Q&A format with Wikipedia's collaborative editing model, enhanced by AI moderation and fact-checking capabilities.
+
+**Status:** Design Phase
+**Related Issues:** #27, #23 (public Q&A database), #22 (statements database)
+**License:** Public Domain (all content and data)
+
+## Mission Statement
+
+Create a high-quality, publicly accessible Q&A platform that:
+- Serves as a modern replacement for Stack Overflow with collaborative editing
+- Provides AI-moderated content for quality assurance
+- Enables conversation continuation and forking for deeper exploration
+- Integrates fact-checking through a statements database
+- Generates training datasets for AI agents
+- Adapts content presentation based on user knowledge level
+
+## Core Features
+
+### 1. Q&A with Collaborative Editing
+
+**Stack Overflow-like Q&A Structure:**
+- Questions with detailed descriptions, tags, and metadata
+- Multiple answers per question
+- Voting system for questions and answers
+- Comments for clarification and discussion
+
+**Wikipedia-like Editing:**
+- Any user can edit questions and answers
+- Complete edit history with diff viewing
+- Ability to revert to previous versions
+- Edit suggestions and review workflow for new contributors
+- Attribution of all contributors
+
+**Difference from Traditional Platforms:**
+- No single "accepted answer" - AI ranks answers by quality
+- Community consensus through editing rather than just voting
+- Transparent moderation process driven by AI
+
+### 2. AI Moderation System
+
+**Automated Quality Control:**
+- Content quality assessment (clarity, completeness, accuracy)
+- Spam and low-quality content detection
+- Duplicate question detection with automatic merging suggestions
+- Plagiarism detection
+- Code quality and security vulnerability checking
+- Language and tone moderation
+
+**AI Moderator Roles:**
+- **Quality Checker:** Evaluates content quality and suggests improvements
+- **Fact Verifier:** Cross-references with statements database
+- **Code Reviewer:** Checks code examples for correctness and best practices
+- **Merge Facilitator:** Identifies duplicate or related content
+- **Style Harmonizer:** Ensures consistent formatting and structure
+
+**Human Oversight:**
+- AI decisions can be appealed
+- Community moderators review AI actions
+- Transparency dashboard showing AI moderation statistics
+
+### 3. Conversation Continuation and Forking
+
+**Interactive Q&A:**
+- "Continue Conversation" button on any Q&A page
+- Opens chat interface with full context of the Q&A
+- Allows users to ask follow-up questions
+- AI can reference the Q&A content in responses
+
+**Conversation Forking:**
+- Create branching discussions from any point
+- Fork a Q&A to explore alternative solutions
+- Create specialized versions for different contexts
+- Track fork relationships in a graph structure
+
+**Use Cases:**
+- "This answer helped, but how do I apply it to X?"
+- "What if I need to do this in Python instead of JavaScript?"
+- "Can you explain this part in more detail?"
+- "This solution works, but how can I optimize it?"
+
+### 4. Statements Database Integration
+
+**Fact-Checking System:**
+- Every factual claim in answers is linked to statements database
+- Real-time verification of technical claims
+- Visual indicators for verified/unverified statements
+- Confidence scores for claims
+
+**Statement Structure:**
+```json
+{
+  "id": "stmt-12345",
+  "statement": "Python 3.12 introduced the 'type' keyword for type aliases",
+  "confirmations": [
+    {
+      "source": "https://docs.python.org/3.12/whatsnew/3.12.html",
+      "language": "en",
+      "date": "2023-10-02"
+    }
+  ],
+  "refutations": [],
+  "confidence": 0.99,
+  "category": "programming.python.syntax"
+}
+```
+
+**Verification Flow:**
+1. User writes answer with factual claims
+2. AI extracts potential facts
+3. System checks statements database
+4. Unverified claims are flagged for review
+5. Community can submit confirmations/refutations
+6. Statements database is updated
+
+### 5. Public Domain Dataset
+
+**Data Export:**
+- Full database exports in multiple formats (JSON, XML, SQL dumps)
+- API for programmatic access
+- Dataset versions with timestamps
+- Quality tiers (all data, AI-verified only, community-verified only)
+
+**Dataset Structure:**
+```
+qa-dataset/
+├── questions/
+│   ├── question-{id}.json
+│   └── metadata.json
+├── answers/
+│   ├── answer-{id}.json
+│   └── metadata.json
+├── edits/
+│   ├── edit-{id}.json
+│   └── metadata.json
+├── conversations/
+│   ├── conversation-{id}.json
+│   └── metadata.json
+├── statements/
+│   ├── statement-{id}.json
+│   └── metadata.json
+└── metadata/
+    ├── schema.json
+    ├── statistics.json
+    └── version.json
+```
+
+**Training Data Format:**
+- Instruction-response pairs for fine-tuning
+- Multi-turn conversation examples
+- Code generation examples with explanations
+- Fact-verification training data
+
+### 6. User Expectation Control
+
+**Transparency Features:**
+- Quality scores for questions and answers
+- Verification status of factual claims
+- Edit history and contributor statistics
+- AI confidence scores
+- Controversy indicators for disputed content
+
+**User Settings:**
+- Filter content by verification level
+- Set minimum quality thresholds
+- Choose answer style preferences
+- Enable/disable AI assistance
+
+### 7. Dynamic Answer Styles
+
+**Adaptive Presentation:**
+- Beginner Mode: Detailed explanations with basic terminology
+- Intermediate Mode: Balanced technical depth
+- Expert Mode: Concise, assumes domain knowledge
+- Teaching Mode: Step-by-step with examples
+- Reference Mode: Dense, comprehensive documentation style
+
+**Knowledge-Based Adaptation:**
+- Track user's demonstrated knowledge from profile/history
+- Auto-adjust complexity based on tags user is familiar with
+- Expand unfamiliar terminology automatically
+- Provide progressive disclosure (start simple, expand on request)
+
+**Style Examples:**
+
+*Beginner Style:*
+```
+Q: How do I read a file in Python?
+
+A: To read a file in Python, you use the built-in 'open()' function.
+Here's a simple example:
+
+with open('filename.txt', 'r') as file:
+    content = file.read()
+    print(content)
+
+Let me break this down:
+- 'open()' opens the file
+- 'r' means "read mode"
+- 'with' automatically closes the file when done
+- 'read()' gets all the content
+```
+
+*Expert Style:*
+```
+Q: How do I read a file in Python?
+
+A: Use context manager with pathlib.Path or open():
+Path('file.txt').read_text() or with open('file.txt') as f: f.read()
+Consider io.TextIOWrapper for encoding control, mmap for large files.
+```
+
+## Technical Architecture
+
+### Data Model
+
+**Core Entities:**
+
+```typescript
+interface Question {
+  id: string;
+  title: string;
+  body: string;
+  tags: string[];
+  author: User;
+  created: Date;
+  modified: Date;
+  editHistory: Edit[];
+  answers: Answer[];
+  views: number;
+  votes: number;
+  qualityScore: number;
+  verificationStatus: VerificationStatus;
+  relatedQuestions: string[];
+  forks: Fork[];
+}
+
+interface Answer {
+  id: string;
+  questionId: string;
+  body: string;
+  author: User;
+  created: Date;
+  modified: Date;
+  editHistory: Edit[];
+  votes: number;
+  qualityScore: number;
+  aiQualityAssessment: QualityAssessment;
+  verifiedStatements: StatementReference[];
+  unverifiedClaims: Claim[];
+  codeBlocks: CodeBlock[];
+}
+
+interface Edit {
+  id: string;
+  entityId: string;
+  entityType: 'question' | 'answer';
+  author: User;
+  timestamp: Date;
+  diff: string;
+  reason: string;
+  reviewStatus: 'pending' | 'approved' | 'rejected';
+  aiReview: AIReview;
+}
+
+interface StatementReference {
+  statementId: string;
+  text: string;
+  confidence: number;
+  sources: Source[];
+  position: TextRange;
+}
+
+interface Conversation {
+  id: string;
+  sourceType: 'question' | 'answer';
+  sourceId: string;
+  messages: Message[];
+  created: Date;
+  participants: User[];
+  status: 'active' | 'archived';
+}
+
+interface Fork {
+  id: string;
+  parentId: string;
+  title: string;
+  description: string;
+  changes: string[];
+  author: User;
+  created: Date;
+}
+
+interface QualityAssessment {
+  overallScore: number;
+  clarity: number;
+  completeness: number;
+  accuracy: number;
+  codeQuality: number;
+  suggestions: string[];
+  timestamp: Date;
+}
+```
+
+### System Components
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│                         Frontend Layer                       │
+├─────────────────────────────────────────────────────────────┤
+│  Web UI  │  Mobile App  │  API Clients  │  Chat Interface  │
+└─────────────────────────────────────────────────────────────┘
+                              │
+┌─────────────────────────────────────────────────────────────┐
+│                       API Gateway Layer                      │
+├─────────────────────────────────────────────────────────────┤
+│  Authentication  │  Rate Limiting  │  Request Routing       │
+└─────────────────────────────────────────────────────────────┘
+                              │
+┌─────────────────────────────────────────────────────────────┐
+│                      Application Layer                       │
+├─────────────────────────────────────────────────────────────┤
+│  Q&A Service  │  Edit Service  │  Search  │  Conversation   │
+└─────────────────────────────────────────────────────────────┘
+                              │
+┌─────────────────────────────────────────────────────────────┐
+│                      AI Services Layer                       │
+├─────────────────────────────────────────────────────────────┤
+│  Moderation  │  Quality Check  │  Fact Verify  │  Style AI  │
+└─────────────────────────────────────────────────────────────┘
+                              │
+┌─────────────────────────────────────────────────────────────┐
+│                        Data Layer                            │
+├─────────────────────────────────────────────────────────────┤
+│  PostgreSQL  │  Elasticsearch  │  Redis  │  Object Storage  │
+└─────────────────────────────────────────────────────────────┘
+                              │
+┌─────────────────────────────────────────────────────────────┐
+│                    External Integrations                     │
+├─────────────────────────────────────────────────────────────┤
+│  Statements DB  │  AI Providers  │  Code Runners  │  CDN    │
+└─────────────────────────────────────────────────────────────┘
+```
+
+### Technology Stack
+
+**Backend:**
+- **API Gateway:** Existing deep-assistant/api-gateway (OpenAI-compatible)
+- **Primary Language:** JavaScript/TypeScript (aligned with roadmap item #20)
+- **Runtime:** Node.js (or Bun as per roadmap #15)
+- **Database:** PostgreSQL for structured data
+- **Search:** Elasticsearch for full-text search
+- **Cache:** Redis for session and frequently accessed data
+- **Storage:** S3-compatible object storage for attachments
+
+**AI Integration:**
+- Use existing API gateway for AI model access
+- Multiple AI provider support (OpenAI, Anthropic, etc.)
+- Local models for basic moderation tasks
+- Fine-tuned models for domain-specific quality assessment
+
+**Frontend:**
+- React or Vue.js for web interface
+- Mobile apps using React Native (future)
+- Server-side rendering for SEO
+- Progressive Web App (PWA) support
+
+### Data Storage
+
+**PostgreSQL Tables:**
+- questions
+- answers
+- users
+- edits
+- votes
+- comments
+- conversations
+- forks
+- tags
+- moderation_logs
+
+**Elasticsearch Indices:**
+- questions_index (for search)
+- answers_index (for search)
+- code_snippets_index (for code search)
+
+**Redis:**
+- User sessions
+- Rate limiting counters
+- Real-time statistics
+- Cache for frequently accessed Q&As
+
+## Initial Content Strategy
+
+### Phase 1: Seed Content (Most Frequent Programming Questions)
+
+**Top Question Categories:**
+1. **Python Basics** (50 questions)
+   - File I/O operations
+   - List/dict manipulation
+   - String operations
+   - Error handling
+   - Virtual environments
+
+2. **JavaScript/TypeScript** (50 questions)
+   - Async/await patterns
+   - Array methods
+   - DOM manipulation
+   - Module systems
+   - Type definitions
+
+3. **Git/Version Control** (30 questions)
+   - Basic commands
+   - Branching strategies
+   - Merge conflicts
+   - Undoing changes
+   - Collaboration workflows
+
+4. **Web Development** (40 questions)
+   - HTTP/REST APIs
+   - Authentication
+   - CORS issues
+   - CSS layouts
+   - Responsive design
+
+5. **Databases** (30 questions)
+   - SQL queries
+   - Database design
+   - ORMs
+   - Performance optimization
+   - Migrations
+
+**Content Sources:**
+- Stack Overflow's most viewed questions (with rewriting)
+- Documentation common issues
+- Community submissions
+- AI-generated Q&As reviewed by humans
+
+### Phase 2: Community Growth
+
+- Invite developers to contribute
+- Integration with existing bots (telegram-bot, support-bot)
+- Import functionality from other platforms (with permission)
+- Partnerships with educational platforms
+
+## AI Moderation Workflow
+
+### Automated Moderation Pipeline
+
+```
+New Content Submission
+        │
+        ▼
+┌───────────────────┐
+│  Spam Detection   │ ──► Reject if spam
+└───────────────────┘
+        │
+        ▼
+┌───────────────────┐
+│ Quality Analysis  │ ──► Flag if low quality
+└───────────────────┘
+        │
+        ▼
+┌───────────────────┐
+│  Fact Extraction  │ ──► Extract claims
+└───────────────────┘
+        │
+        ▼
+┌───────────────────┐
+│ Fact Verification │ ──► Check statements DB
+└───────────────────┘
+        │
+        ▼
+┌───────────────────┐
+│  Code Checking    │ ──► Validate code examples
+└───────────────────┘
+        │
+        ▼
+┌───────────────────┐
+│  Publish Content  │ ──► Add quality metadata
+└───────────────────┘
+```
+
+### Edit Review Process
+
+```
+User Submits Edit
+        │
+        ▼
+┌───────────────────┐
+│   Trust Check     │ ── High Trust ──► Auto-approve
+└───────────────────┘
+        │ Low Trust
+        ▼
+┌───────────────────┐
+│  AI Diff Analysis │ ──► Assess change quality
+└───────────────────┘
+        │
+        ▼
+┌───────────────────┐
+│  Human Review?    │ ── Needs Review ──► Queue for moderator
+└───────────────────┘
+        │ Auto-decidable
+        ▼
+┌───────────────────┐
+│ Approve/Reject    │
+└───────────────────┘
+```
+
+## Conversation Continuation System
+
+### Architecture
+
+**Conversation Context Builder:**
+```typescript
+interface ConversationContext {
+  question: Question;
+  answer?: Answer;
+  relatedQAs: Question[];
+  userHistory: UserInteraction[];
+  knowledgeLevel: KnowledgeLevel;
+}
+
+function buildContext(qaId: string, userId: string): ConversationContext {
+  // 1. Load Q&A content
+  // 2. Retrieve user's knowledge profile
+  // 3. Find related Q&As
+  // 4. Build conversation prompt
+  return context;
+}
+```
+
+**Integration with Telegram Bot:**
+- "/qa <question-id>" command opens conversation
+- Context from Q&A is loaded into chat history
+- User can ask follow-up questions
+- Bot can reference original Q&A
+- Conversations can be saved back to platform
+
+**Conversation Features:**
+- Full markdown support
+- Code execution (sandboxed)
+- Image generation for diagrams
+- Real-time collaboration
+- Save useful conversations as new Q&As
+
+## Statements Database Integration
+
+### Database Schema for Statements
+
+```sql
+CREATE TABLE statements (
+    id UUID PRIMARY KEY,
+    statement TEXT NOT NULL,
+    category VARCHAR(255),
+    confidence_score DECIMAL(3,2),
+    created_at TIMESTAMP,
+    updated_at TIMESTAMP,
+    language VARCHAR(10),
+
+    -- Indexes
+    UNIQUE(statement, language)
+);
+
+CREATE TABLE statement_sources (
+    id UUID PRIMARY KEY,
+    statement_id UUID REFERENCES statements(id),
+    source_url TEXT NOT NULL,
+    source_type VARCHAR(50), -- 'documentation', 'academic', 'article'
+    verification_date DATE,
+    language VARCHAR(10),
+    is_refutation BOOLEAN DEFAULT FALSE
+);
+
+CREATE TABLE statement_references (
+    id UUID PRIMARY KEY,
+    statement_id UUID REFERENCES statements(id),
+    entity_type VARCHAR(50), -- 'answer', 'comment'
+    entity_id UUID NOT NULL,
+    text_position JSONB, -- {start: 100, end: 150}
+    added_at TIMESTAMP
+);
+```
+
+### Fact Verification API
+
+```typescript
+interface FactVerificationRequest {
+  text: string;
+  context?: string;
+  language: string;
+}
+
+interface FactVerificationResponse {
+  statements: VerifiedStatement[];
+  unverifiedClaims: UnverifiedClaim[];
+}
+
+interface VerifiedStatement {
+  text: string;
+  statementId: string;
+  confidence: number;
+  sources: Source[];
+  position: TextRange;
+}
+```
+
+### Integration Points
+
+1. **Answer Submission:** Extract and verify facts before publishing
+2. **Edit Review:** Verify changed facts during edit review
+3. **Periodic Re-verification:** Update confidence scores as new sources emerge
+4. **User Contributions:** Allow users to submit confirmations/refutations
+
+## Dynamic Content Adaptation
+
+### User Knowledge Profiling
+
+```typescript
+interface UserKnowledgeProfile {
+  userId: string;
+  knownTags: Map<string, KnowledgeLevel>; // tag -> level
+  interactionHistory: Interaction[];
+  preferredStyle: AnswerStyle;
+  vocabulary: Set<string>; // technical terms user has used
+
+  getKnowledgeLevel(tag: string): KnowledgeLevel;
+  updateFromInteraction(interaction: Interaction): void;
+}
+
+enum KnowledgeLevel {
+  BEGINNER = 1,
+  INTERMEDIATE = 2,
+  ADVANCED = 3,
+  EXPERT = 4
+}
+```
+
+### Content Adaptation Engine
+
+```typescript
+interface ContentAdapter {
+  adaptAnswer(
+    answer: Answer,
+    userProfile: UserKnowledgeProfile
+  ): AdaptedAnswer;
+}
+
+interface AdaptedAnswer {
+  mainContent: string;
+  expandedTerms: Map<string, string>;
+  additionalResources: Resource[];
+  simplifiedVersion?: string;
+  detailedVersion?: string;
+}
+```
+
+### Implementation Approach
+
+1. **Static Pre-generation:** Generate multiple versions at answer creation time
+2. **Dynamic Generation:** Generate on-demand based on user profile
+3. **Hybrid:** Cache common variations, generate rare ones on demand
+
+**Example Implementation:**
+
+```typescript
+function adaptAnswerForUser(
+  answer: Answer,
+  user: UserKnowledgeProfile
+): string {
+  const level = user.getKnowledgeLevel(answer.primaryTag);
+
+  switch(level) {
+    case KnowledgeLevel.BEGINNER:
+      return expandTechnicalTerms(answer.body, user.vocabulary);
+    case KnowledgeLevel.INTERMEDIATE:
+      return answer.body; // Default version
+    case KnowledgeLevel.EXPERT:
+      return condenseToEssentials(answer.body);
+    default:
+      return answer.body;
+  }
+}
+```
+
+## Public Domain Dataset
+
+### Export Formats
+
+**JSON Export:**
+```json
+{
+  "version": "1.0.0",
+  "exportDate": "2025-10-30T00:00:00Z",
+  "statistics": {
+    "totalQuestions": 10000,
+    "totalAnswers": 25000,
+    "totalEdits": 50000
+  },
+  "questions": [...],
+  "answers": [...],
+  "metadata": {...}
+}
+```
+
+**Training Dataset Format:**
+```jsonl
+{"instruction": "How do I read a file in Python?", "response": "To read a file...", "metadata": {"quality": 0.95, "verified": true}}
+{"instruction": "Explain async/await in JavaScript", "response": "Async/await...", "metadata": {"quality": 0.92, "verified": true}}
+```
+
+### Dataset Versioning
+
+- Semantic versioning: MAJOR.MINOR.PATCH
+- Monthly releases with cumulative changes
+- Delta files for incremental updates
+- Immutable historical versions
+
+### API Access
+
+```
+GET /api/v1/export/latest
+GET /api/v1/export/version/{version}
+GET /api/v1/export/delta/{from_version}/{to_version}
+GET /api/v1/questions?limit=100&offset=0
+GET /api/v1/answers?question_id={id}
+GET /api/v1/training-data?quality_min=0.8
+```
+
+## Implementation Phases
+
+### Phase 1: Foundation (Months 1-3)
+
+**Goals:**
+- Basic Q&A platform with PostgreSQL backend
+- User authentication and authorization
+- Question/Answer posting and editing
+- Edit history tracking
+- Basic search functionality
+
+**Deliverables:**
+- Database schema and migrations
+- REST API for Q&A operations
+- Basic web UI for viewing and posting
+- User management system
+
+### Phase 2: AI Integration (Months 4-6)
+
+**Goals:**
+- AI quality assessment
+- Automated spam detection
+- Basic fact extraction
+- Integration with existing api-gateway
+
+**Deliverables:**
+- AI moderation service
+- Quality scoring system
+- Automated content review pipeline
+- Admin dashboard for moderation
+
+### Phase 3: Statements Database (Months 7-9)
+
+**Goals:**
+- Statements database design and implementation
+- Fact verification system
+- Source management
+- Integration with Q&A content
+
+**Deliverables:**
+- Statements database schema
+- Fact extraction and verification API
+- UI for viewing verified facts
+- Community contribution system for sources
+
+### Phase 4: Advanced Features (Months 10-12)
+
+**Goals:**
+- Conversation continuation system
+- Q&A forking
+- Dynamic content adaptation
+- Knowledge profiling
+
+**Deliverables:**
+- Chat interface integrated with Q&A
+- Fork and branch visualization
+- User knowledge tracking
+- Adaptive content rendering
+
+### Phase 5: Dataset & Public Release (Months 13-15)
+
+**Goals:**
+- Public domain dataset creation
+- Export functionality
+- API for external access
+- Documentation and community building
+
+**Deliverables:**
+- Dataset export system
+- Public API with documentation
+- Training data formats
+- Community guidelines and contribution docs
+
+## Integration with Existing Infrastructure
+
+### API Gateway Integration
+- Use existing deep-assistant/api-gateway for AI model access
+- Leverage multi-provider failover for reliability
+- Consistent authentication across all services
+
+### Telegram Bot Integration
+- Add /qa command to search and view Q&As
+- Allow users to ask questions directly from Telegram
+- Send notifications for answer updates
+- Continue conversations from Telegram
+
+### Web Capture Integration
+- Use web-capture service for archiving external sources
+- Capture documentation pages for statements database
+- Generate snapshots of source evidence
+
+### Support Bot Integration
+- Automatically create Q&A entries from common support issues
+- Identify gaps in Q&A coverage from support tickets
+- Feedback loop for improving content
+
+## Security and Moderation Considerations
+
+### Content Safety
+- Profanity filtering
+- Personal information detection and removal
+- Malicious code detection in examples
+- XSS/injection prevention in code blocks
+
+### User Trust System
+- Reputation scores based on contributions
+- Progressive privileges (edit rights, moderation)
+- Verified expert badges
+- Transparent moderation logs
+
+### Abuse Prevention
+- Rate limiting on submissions and edits
+- IP-based spam detection
+- Pattern detection for coordinated abuse
+- Appeal system for false positives
+
+## Success Metrics
+
+### Quality Metrics
+- Average answer quality score
+- Percentage of verified statements
+- Edit acceptance rate
+- Time to first answer
+
+### User Engagement
+- Daily active users
+- Questions per day
+- Edits per question
+- Conversation continuations
+
+### AI Performance
+- Moderation accuracy
+- Fact verification accuracy
+- False positive/negative rates
+- Processing time
+
+### Dataset Adoption
+- API usage statistics
+- Dataset download counts
+- Citations in research
+- Model training usage
+
+## Future Enhancements
+
+### Multi-language Support
+- Translate Q&As to multiple languages
+- Language-specific versions
+- Cross-language linking
+
+### Video and Interactive Content
+- Video explanations embedded in answers
+- Interactive code playgrounds
+- Diagram editors
+- Live coding sessions
+
+### Advanced AI Features
+- AI-generated summary answers
+- Question suggestion system
+- Related question discovery
+- Automatic question categorization
+
+### Community Features
+- User profiles and portfolios
+- Expert Q&A sessions
+- Topic-specific communities
+- Mentorship programs
+
+### Integration Ecosystem
+- IDE plugins (VS Code, IntelliJ)
+- Browser extensions
+- Chat platform integrations (Discord, Slack)
+- Documentation generators
+
+## Open Questions and Decisions Needed
+
+1. **License for Code vs Data:** Should code be separate license from data?
+2. **Moderation Thresholds:** What quality scores trigger human review?
+3. **Edit Conflict Resolution:** How to handle simultaneous edits?
+4. **User Identity:** Anonymous contributions allowed?
+5. **Commercial Use:** Any restrictions on dataset usage?
+6. **Governance Model:** How are platform decisions made?
+7. **Funding Model:** Donations, sponsorships, or other?
+
+## Conclusion
+
+This Q&A system represents a significant evolution in knowledge sharing platforms, combining traditional community-driven Q&A with modern AI capabilities, collaborative editing, and strong fact-checking. By releasing all data as public domain and providing robust APIs, we enable the broader community to build upon this foundation.
+
+The phased implementation approach allows for iterative development and community feedback, ensuring the system meets real user needs while maintaining high quality standards.
+
+## Related Documentation
+
+- [Issue #27: High quality Q and A collection](https://github.com/deep-assistant/master-plan/issues/27)
+- [Issue #23: Make public question and answer database](https://github.com/deep-assistant/master-plan/issues/23)
+- [Issue #22: Make public facts/statements/hypothesis static GitHub pages website](https://github.com/deep-assistant/master-plan/issues/22)
+- [API Gateway Architecture](https://github.com/deep-assistant/api-gateway/blob/main/ARCHITECTURE.md)
+- [Telegram Bot Architecture](https://github.com/deep-assistant/telegram-bot/blob/main/ARCHITECTURE.md)
+
+## Appendices
+
+### Appendix A: Sample Data Structures
+
+See inline code examples throughout the document.
+
+### Appendix B: API Specification
+
+Detailed OpenAPI specification to be created in Phase 1.
+
+### Appendix C: Database Schema
+
+Complete schema to be finalized in Phase 1 implementation.
+
+### Appendix D: AI Model Requirements
+
+Detailed requirements for AI models to be specified during Phase 2.
diff --git a/SEED_QUESTIONS.md b/SEED_QUESTIONS.md
new file mode 100644
index 0000000..717ae0e
--- /dev/null
+++ b/SEED_QUESTIONS.md
@@ -0,0 +1,507 @@
+# Seed Questions for Q&A Platform
+
+This document contains the initial set of high-quality programming questions to seed the Q&A platform. These are the most frequently asked questions across various programming domains.
+
+## Python Basics (50 Questions)
+
+### File I/O and Data Handling
+1. How do I read a text file in Python?
+2. How do I write data to a file in Python?
+3. How do I append to a file without overwriting it?
+4. How do I read a CSV file in Python?
+5. How do I write data to a CSV file?
+6. How do I handle file encodings (UTF-8, etc.) in Python?
+7. How do I check if a file exists before opening it?
+8. How do I read a JSON file in Python?
+9. How do I write JSON data to a file?
+10. How do I read a file line by line efficiently?
+
+### Lists and Dictionaries
+11. How do I remove duplicates from a list in Python?
+12. How do I sort a list of dictionaries by a specific key?
+13. How do I merge two dictionaries in Python?
+14. How do I flatten a nested list?
+15. How do I find the difference between two lists?
+16. How do I check if a key exists in a dictionary?
+17. How do I iterate over a dictionary in Python?
+18. How do I reverse a list in Python?
+19. How do I get the most common elements in a list?
+20. How do I create a list of dictionaries from two lists?
+
+### String Operations
+21. How do I split a string by multiple delimiters?
+22. How do I remove whitespace from a string?
+23. How do I check if a string contains a substring?
+24. How do I replace multiple characters in a string?
+25. How do I convert a string to uppercase/lowercase?
+26. How do I format strings using f-strings?
+27. How do I check if a string is a valid number?
+28. How do I extract numbers from a string?
+29. How do I reverse a string in Python?
+30. How do I count occurrences of a character in a string?
+
+### Error Handling and Best Practices
+31. How do I handle exceptions properly in Python?
+32. What is the difference between try-except and try-except-finally?
+33. How do I create custom exceptions in Python?
+34. How do I use context managers (with statement)?
+35. How do I catch multiple exceptions in Python?
+36. How do I re-raise an exception in Python?
+37. How do I log errors in Python?
+38. How do I handle keyboard interrupts gracefully?
+
+### Virtual Environments and Packages
+39. How do I create a virtual environment in Python?
+40. How do I activate/deactivate a virtual environment?
+41. How do I install packages using pip?
+42. How do I create a requirements.txt file?
+43. How do I install packages from requirements.txt?
+44. What is the difference between pip and conda?
+45. How do I upgrade pip to the latest version?
+46. How do I uninstall a package in Python?
+47. How do I list all installed packages?
+48. How do I check the version of an installed package?
+49. How do I resolve package dependency conflicts?
+50. How do I create a Python package with setup.py?
+
+## JavaScript/TypeScript (50 Questions)
+
+### Async/Await and Promises
+51. What is the difference between async/await and promises?
+52. How do I use async/await with fetch API?
+53. How do I handle errors in async functions?
+54. How do I run multiple async operations in parallel?
+55. How do I convert a callback function to use promises?
+56. What is promise chaining and how do I use it?
+57. How do I implement retry logic with async/await?
+58. How do I create a sleep/delay function in JavaScript?
+59. How do I use Promise.all() vs Promise.allSettled()?
+60. How do I timeout a promise?
+
+### Array Methods and Operations
+61. What is the difference between map, filter, and reduce?
+62. How do I remove duplicates from an array?
+63. How do I flatten a nested array in JavaScript?
+64. How do I find an object in an array by property value?
+65. How do I sort an array of objects by a property?
+66. How do I group array elements by a property?
+67. How do I check if an array contains a specific value?
+68. How do I merge multiple arrays in JavaScript?
+69. How do I split an array into chunks?
+70. How do I find the intersection of two arrays?
+
+### DOM Manipulation
+71. How do I select DOM elements efficiently?
+72. How do I add event listeners to multiple elements?
+73. How do I create and append elements to the DOM?
+74. How do I remove an element from the DOM?
+75. How do I modify CSS styles using JavaScript?
+76. How do I handle click events in JavaScript?
+77. How do I prevent default form submission?
+78. How do I get form input values in JavaScript?
+79. How do I dynamically update HTML content?
+80. How do I clone a DOM element?
+
+### Module Systems and Imports
+81. What is the difference between CommonJS and ES6 modules?
+82. How do I use import/export in JavaScript?
+83. How do I dynamically import modules?
+84. What is the difference between default and named exports?
+85. How do I resolve module import paths in Node.js?
+86. How do I use require() in Node.js?
+87. What are circular dependencies and how do I avoid them?
+88. How do I import JSON files in JavaScript?
+
+### TypeScript Specifics
+89. How do I define interfaces in TypeScript?
+90. What is the difference between interface and type in TypeScript?
+91. How do I use generics in TypeScript?
+92. How do I type async functions in TypeScript?
+93. How do I create union and intersection types?
+94. How do I use type guards in TypeScript?
+95. How do I declare global types in TypeScript?
+96. How do I configure tsconfig.json?
+97. How do I handle "any" type vs "unknown" type?
+98. How do I create utility types in TypeScript?
+99. How do I use enums in TypeScript?
+100. How do I type React components in TypeScript?
+
+## Git/Version Control (30 Questions)
+
+### Basic Commands
+101. How do I initialize a Git repository?
+102. How do I stage and commit changes?
+103. How do I write good commit messages?
+104. How do I view commit history?
+105. How do I check the status of my working directory?
+106. How do I see what files have changed?
+107. How do I add all files to staging?
+108. How do I commit without opening an editor?
+
+### Branching and Merging
+109. How do I create a new branch in Git?
+110. How do I switch between branches?
+111. How do I merge branches in Git?
+112. How do I delete a branch?
+113. What is the difference between merge and rebase?
+114. How do I create a branch from a specific commit?
+115. How do I list all branches?
+116. How do I rename a branch?
+117. How do I track a remote branch?
+
+### Merge Conflicts
+118. How do I resolve merge conflicts?
+119. How do I abort a merge?
+120. How do I see which files have conflicts?
+121. How do I use a merge tool to resolve conflicts?
+122. How do I keep my changes during a conflict?
+123. How do I keep their changes during a conflict?
+
+### Undoing Changes
+124. How do I undo the last commit?
+125. How do I revert a specific commit?
+126. How do I discard local changes?
+127. How do I unstage files?
+128. How do I reset to a previous commit?
+129. What is the difference between git reset and git revert?
+130. How do I recover deleted commits?
+
+## Web Development (40 Questions)
+
+### HTTP and REST APIs
+131. What are HTTP methods (GET, POST, PUT, DELETE)?
+132. How do I make an HTTP request in JavaScript?
+133. What is the difference between PUT and PATCH?
+134. How do I send JSON data in a POST request?
+135. How do I handle HTTP response status codes?
+136. What is REST API design best practices?
+137. How do I implement pagination in REST APIs?
+138. How do I handle API rate limiting?
+139. How do I version REST APIs?
+140. How do I document REST APIs?
+
+### Authentication and Security
+141. How does JWT authentication work?
+142. How do I store authentication tokens securely?
+143. What is OAuth 2.0 and how does it work?
+144. How do I implement session-based authentication?
+145. How do I hash passwords securely?
+146. What is HTTPS and why is it important?
+147. How do I prevent XSS attacks?
+148. How do I prevent CSRF attacks?
+149. How do I implement API key authentication?
+150. How do I secure sensitive data in environment variables?
+
+### CORS Issues
+151. What is CORS and why does it exist?
+152. How do I fix CORS errors in development?
+153. How do I configure CORS in Express.js?
+154. How do I handle CORS with credentials?
+155. What are preflight requests in CORS?
+156. How do I allow specific origins in CORS?
+
+### CSS and Layouts
+157. How do I center a div horizontally and vertically?
+158. What is the box model in CSS?
+159. How do I create a responsive grid layout?
+160. What is the difference between flexbox and grid?
+161. How do I use media queries for responsive design?
+162. How do I create a sticky header?
+163. How do I hide elements responsively?
+164. How do I create a hamburger menu for mobile?
+165. How do I implement CSS animations?
+166. How do I use CSS variables?
+
+### Responsive Design
+167. What are breakpoints in responsive design?
+168. How do I make images responsive?
+169. How do I set viewport meta tag correctly?
+170. How do I test responsive design?
+
+## Databases (30 Questions)
+
+### SQL Queries
+171. How do I select all columns from a table?
+172. How do I filter rows using WHERE clause?
+173. How do I join two tables in SQL?
+174. What is the difference between INNER JOIN and LEFT JOIN?
+175. How do I use GROUP BY in SQL?
+176. How do I count rows in a table?
+177. How do I use aggregate functions (SUM, AVG, MAX, MIN)?
+178. How do I order results in SQL?
+179. How do I limit the number of results?
+180. How do I use subqueries in SQL?
+
+### Database Design
+181. What are primary keys and foreign keys?
+182. How do I normalize a database?
+183. What is database indexing and when should I use it?
+184. How do I design a many-to-many relationship?
+185. What is the difference between SQL and NoSQL databases?
+186. How do I choose between relational and document databases?
+187. What are database constraints?
+188. How do I handle NULL values in databases?
+
+### ORMs and Database Tools
+189. What is an ORM and when should I use one?
+190. How do I use Sequelize with Node.js?
+191. How do I use SQLAlchemy with Python?
+192. How do I write raw SQL queries with an ORM?
+193. How do I handle database transactions?
+194. How do I perform bulk inserts efficiently?
+
+### Performance and Optimization
+195. How do I optimize slow SQL queries?
+196. How do I use EXPLAIN to analyze queries?
+197. How do I add indexes to improve performance?
+198. How do I avoid N+1 query problems?
+199. How do I implement database caching?
+200. How do I handle database connection pooling?
+
+## Additional High-Priority Topics
+
+### React (20 Questions)
+201. What are React hooks and how do I use them?
+202. How do I use useState hook?
+203. How do I use useEffect hook?
+204. What is the difference between useEffect and useLayoutEffect?
+205. How do I pass data between components?
+206. What are props and how do I use them?
+207. How do I handle forms in React?
+208. How do I conditionally render components?
+209. How do I map over arrays to render lists?
+210. What is the key prop and why is it important?
+211. How do I fetch data in React?
+212. How do I handle loading and error states?
+213. How do I use useContext for state management?
+214. How do I optimize React component performance?
+215. How do I use React Router?
+216. How do I handle environment variables in React?
+217. How do I test React components?
+218. What is virtual DOM?
+219. How do I use refs in React?
+220. How do I create custom hooks?
+
+### Node.js (20 Questions)
+221. How do I create a basic HTTP server in Node.js?
+222. How do I read command-line arguments in Node.js?
+223. How do I use environment variables in Node.js?
+224. How do I handle file system operations in Node.js?
+225. How do I create a REST API with Express.js?
+226. How do I use middleware in Express.js?
+227. How do I handle errors in Express.js?
+228. How do I connect to a database in Node.js?
+229. How do I implement authentication in Node.js?
+230. How do I handle file uploads in Node.js?
+231. How do I schedule tasks in Node.js?
+232. How do I use streams in Node.js?
+233. How do I handle concurrent requests in Node.js?
+234. How do I debug Node.js applications?
+235. How do I deploy a Node.js application?
+236. How do I use process.env in Node.js?
+237. How do I create a CLI tool with Node.js?
+238. How do I implement WebSockets in Node.js?
+239. How do I use child processes in Node.js?
+240. How do I monitor Node.js application performance?
+
+### Docker and DevOps (20 Questions)
+241. What is Docker and why should I use it?
+242. How do I create a Dockerfile?
+243. How do I build a Docker image?
+244. How do I run a Docker container?
+245. How do I use docker-compose?
+246. How do I share volumes between containers?
+247. How do I expose ports in Docker?
+248. How do I see running containers?
+249. How do I enter a running container?
+250. How do I clean up Docker resources?
+251. How do I use environment variables in Docker?
+252. How do I optimize Docker image size?
+253. How do I set up CI/CD pipelines?
+254. How do I use GitHub Actions?
+255. How do I deploy to cloud platforms?
+256. How do I implement health checks?
+257. How do I use Docker networks?
+258. How do I backup Docker volumes?
+259. How do I update running containers?
+260. How do I debug containers?
+
+### Testing (15 Questions)
+261. How do I write unit tests in JavaScript?
+262. How do I use Jest for testing?
+263. How do I mock functions in tests?
+264. How do I test async code?
+265. How do I write integration tests?
+266. How do I measure code coverage?
+267. How do I use pytest in Python?
+268. How do I write test fixtures?
+269. How do I test React components?
+270. How do I use testing library?
+271. How do I write end-to-end tests?
+272. How do I set up test databases?
+273. How do I test API endpoints?
+274. How do I use test-driven development (TDD)?
+275. How do I debug failing tests?
+
+### Security (10 Questions)
+276. How do I prevent SQL injection?
+277. How do I validate user input?
+278. How do I implement rate limiting?
+279. How do I secure API endpoints?
+280. How do I handle sensitive data?
+281. How do I implement two-factor authentication?
+282. How do I secure WebSocket connections?
+283. How do I implement RBAC (role-based access control)?
+284. How do I audit security in my application?
+285. How do I handle security vulnerabilities?
+
+### Performance (10 Questions)
+286. How do I profile my application's performance?
+287. How do I optimize database queries?
+288. How do I implement caching strategies?
+289. How do I reduce bundle size in web applications?
+290. How do I lazy load components?
+291. How do I optimize images for web?
+292. How do I use CDN for static assets?
+293. How do I implement server-side rendering?
+294. How do I reduce API response time?
+295. How do I optimize memory usage?
+
+### Debugging (10 Questions)
+296. How do I debug JavaScript in the browser?
+297. How do I use breakpoints effectively?
+298. How do I debug Node.js applications?
+299. How do I debug Python code?
+300. How do I read stack traces?
+301. How do I use console.log effectively?
+302. How do I debug memory leaks?
+303. How do I debug network requests?
+304. How do I use browser DevTools?
+305. How do I debug production issues?
+
+## Question Format Template
+
+Each question should follow this structure when implemented:
+
+```markdown
+# [Question Title]
+
+## Tags
+- [Primary Tag]
+- [Secondary Tag]
+- [Additional Tags]
+
+## Question
+[Detailed question description with context]
+
+## Acceptance Criteria
+- What constitutes a complete answer
+- Edge cases to consider
+- Best practices to include
+
+## Example Scenario (if applicable)
+[Code example or situation that demonstrates the problem]
+
+## Related Questions
+- [Link to related Q1]
+- [Link to related Q2]
+```
+
+## Answer Quality Guidelines
+
+All seed answers should:
+
+1. **Be Correct:** Verified and tested code examples
+2. **Be Complete:** Cover common use cases and edge cases
+3. **Be Clear:** Explain not just "how" but "why"
+4. **Include Examples:** Working code snippets
+5. **Mention Alternatives:** When multiple approaches exist
+6. **Reference Documentation:** Link to official docs
+7. **Note Version Compatibility:** Specify language/framework versions
+8. **Follow Best Practices:** Use modern, recommended approaches
+9. **Be Maintained:** Plan for updates as languages evolve
+10. **Be Accessible:** Appropriate for the target skill level
+
+## Prioritization
+
+**Immediate Priority (First 50):**
+- Python file I/O (questions 1-10)
+- JavaScript async/await (questions 51-60)
+- Git basics (questions 101-108)
+- Common web dev issues (CORS, auth basics)
+- Database fundamentals
+
+**High Priority (Next 100):**
+- React fundamentals
+- Node.js basics
+- Database queries and design
+- Security fundamentals
+- Testing basics
+
+**Medium Priority (Next 100):**
+- Advanced TypeScript
+- Docker and DevOps
+- Performance optimization
+- Advanced Git workflows
+- API design
+
+**Low Priority (Remaining):**
+- Specialized topics
+- Framework-specific advanced features
+- Platform-specific issues
+- Tool-specific questions
+
+## Sources for Content
+
+1. **Stack Overflow Analysis:** Most viewed and upvoted questions (rewritten, not copied)
+2. **Official Documentation:** Common issues from docs "Getting Started" sections
+3. **GitHub Issues:** Frequently reported problems in popular repositories
+4. **Community Forums:** Reddit r/learnprogramming, r/programming
+5. **Developer Surveys:** Stack Overflow Developer Survey pain points
+6. **Support Tickets:** Common issues from existing support-bot data
+7. **Search Trends:** Google Trends for programming questions
+8. **Educational Platforms:** Common questions from coding bootcamps and courses
+
+## Content Generation Strategy
+
+### Phase 1: Manual Curation (First 50 questions)
+- Hand-written by experienced developers
+- Reviewed by peers
+- Tested code examples
+- High-quality baseline
+
+### Phase 2: AI-Assisted Generation (Next 150 questions)
+- AI generates initial drafts
+- Human review and editing
+- Fact verification against statements database
+- Community feedback incorporation
+
+### Phase 3: Community Contributions (Ongoing)
+- Open submissions
+- AI-assisted quality review
+- Community voting and editing
+- Continuous improvement
+
+## Maintenance Plan
+
+- **Monthly Review:** Update answers for new language versions
+- **Quarterly Audit:** Check for deprecated information
+- **Annual Overhaul:** Major updates based on language evolution
+- **Continuous Monitoring:** Track view counts and user feedback
+- **Gap Analysis:** Identify missing topics from user searches
+
+## Success Metrics for Seed Content
+
+- **Coverage:** At least 300 questions covering top programming topics
+- **Quality Score:** Average AI quality score > 0.85
+- **Verification:** 80%+ of factual claims verified
+- **Engagement:** Average 5+ views per question per day
+- **Usefulness:** Positive feedback on 70%+ of answers
+- **Edit Rate:** Healthy edit rate indicating community involvement
+- **Search Ranking:** Top 5 results for target keywords
+
+## Related Documentation
+
+- [QA_SYSTEM_DESIGN.md](./QA_SYSTEM_DESIGN.md) - Complete system architecture
+- [Issue #27](https://github.com/deep-assistant/master-plan/issues/27) - Original requirements
+- [Issue #23](https://github.com/deep-assistant/master-plan/issues/23) - Public Q&A database requirements