youtube-summarizer/docs/prd/index.md

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YouTube Summarizer - Epic Index

Epic Overview

This index provides navigation and status tracking for all epics in the YouTube Summarizer project. Each epic represents a major milestone in the product development journey from basic functionality to advanced features.

Project Vision

Create a self-hosted, hobby-scale YouTube Summarizer that transforms long-form video content into concise, actionable summaries using AI technology. Prioritize background processing, cost efficiency, and professional code quality while maintaining simplicity for hobby deployment.

Epic Status Dashboard

Epic Status Progress Stories Complete Next Action
Epic 1 COMPLETE 100% (5/5) All Stories 1.1-1.5 Complete Epic fully implemented
Epic 2 COMPLETE 100% (5/5) All Stories 2.1-2.5 Complete Epic fully implemented
Epic 3 COMPLETE 100% (5/5) All Stories 3.1-3.5 Complete Epic fully implemented
Epic 4 🚧 IMPLEMENTATION READY 37% (2/5) Stories 4.1-4.2 Ready for Story 4.3 Development

Overall Project Progress: 85% (17/20 stories completed across 4 epics)


Epic 1: Foundation & Core YouTube Integration

🎯 Goal: Establish foundational infrastructure and core YouTube integration

📁 Epic File: epic-1-foundation-core-youtube-integration.md

🔗 Dependencies: None (foundational epic)

📊 Status: 🟢 Ready for Development - All stories created and ready for implementation

Stories in Epic 1

Story Title Status File Dependencies
1.1 Project Setup and Infrastructure COMPLETED 1.1.project-setup-infrastructure.md None
1.2 YouTube URL Validation and Parsing COMPLETED 1.2.youtube-url-validation-parsing.md Story 1.1
1.3 Transcript Extraction Service COMPLETED 1.3.transcript-extraction-service.md Story 1.2
1.4 Basic Web Interface COMPLETED 1.4.basic-web-interface.md Story 1.3
1.5 Video Download and Storage Service COMPLETED 1.5.video-download-storage-service.md Stories 1.1, 1.2

Key Deliverables

  • Complete development environment with Docker
  • YouTube URL processing and validation
  • Transcript extraction with fallbacks
  • Basic responsive web interface
  • Video download and local storage service

Architecture Components

  • Backend: FastAPI + Python 3.11+ with async support
  • Frontend: React 18 + TypeScript + shadcn/ui
  • Database: SQLite for development
  • Deployment: Docker Compose self-hosted

Epic 2: AI Summarization Engine

🎯 Goal: Implement AI-powered summarization with multi-model support and caching

📁 Epic File: epic-2-ai-summarization-engine.md

🔗 Dependencies: Epic 1 (Foundation & Core YouTube Integration)

📊 Status: COMPLETE - All stories implemented

Stories in Epic 2

Story Title Status File Dependencies
2.1 Single AI Model Integration COMPLETED 2.1.single-ai-model-integration.md Story 1.4
2.2 Summary Generation Pipeline COMPLETED 2.2.summary-generation-pipeline.md Story 2.1
2.3 Caching System Implementation COMPLETED 2.3.caching-system-implementation.md Story 2.2
2.4 Multi-Model Support COMPLETED 2.4.multi-model-support.md Story 2.3
2.5 Export Functionality COMPLETED 2.5.export-functionality.md Story 2.4

Key Deliverables

  • AI integration with OpenAI GPT-4o-mini
  • Multi-model support (OpenAI, Anthropic, DeepSeek)
  • Intelligent caching system (24-hour TTL)
  • Export functionality (Markdown, PDF, plain text)
  • Cost optimization (~$0.001-0.005 per summary)

Architecture Components

  • AI Service: Provider abstraction with fallback
  • Cache Service: Memory + database caching
  • Export Service: Multiple format generation
  • Cost Tracking: Usage monitoring and optimization

Epic 3: Enhanced User Experience

🎯 Goal: Transform into comprehensive platform with authentication, batch processing, and real-time updates

📁 Epic File: epic-3-enhanced-user-experience.md

🔗 Dependencies: Epic 2 (AI Summarization Engine)

📊 Status: COMPLETE - All core stories implemented (Story 3.6 deferred to Epic 4)

Stories in Epic 3

Story Title Status File Dependencies
3.1 User Authentication System (Backend) COMPLETED Backend auth implementation Story 2.5
3.2 Frontend Authentication Integration COMPLETED Frontend auth components Story 3.1
3.3 Summary History Management COMPLETED 3.3.summary-history-management.md Story 3.1-3.2
3.4 Batch Processing COMPLETED 3.4.batch-processing.md Story 3.3
3.5 Real-time Updates COMPLETED 3.5.real-time-updates.md Story 3.4
3.6 API Endpoints ⏸️ DEFERRED Moved to Epic 4 -

Key Deliverables

  • User registration and authentication (JWT-based)
  • Persistent summary history with search and filtering
  • Batch processing for up to 100 videos
  • Real-time WebSocket progress updates with recovery
  • Job cancellation and time estimation
  • ⏸️ Public API with SDK support (deferred to Epic 4)

Architecture Components

  • Auth Service: JWT authentication with refresh tokens
  • User Management: Profiles and preferences
  • Batch Processing: Background job queue system
  • WebSocket Service: Real-time progress updates
  • API Gateway: Rate limiting and key management

Epic 4: Advanced Intelligence & Developer Platform

🎯 Goal: Multi-agent AI system with enhanced exports and RAG-powered video chat

📁 Epic File: epic-4-advanced-intelligence-developer-platform.md

🔗 Dependencies: Epic 3 (Enhanced User Experience) Complete

📊 Status: 🚧 IMPLEMENTATION READY - Core services implemented, ready for API integration

Stories in Epic 4

Story Title Status Priority Dependencies
4.1 Dual Transcript Options (YouTube + Whisper) COMPLETED High Epic 3 Complete
4.2 API Endpoints & Developer SDK COMPLETED High Story 4.1
4.3 Multi-video Analysis with Multi-Agent System 📋 READY High Story 4.2
4.4 Custom Models & Enhanced Markdown Export 📋 READY High Story 4.2
4.6 RAG-Powered Video Chat with ChromaDB 📋 READY Medium Story 4.4

Completed Features

  • Stories 4.1-4.2: Dual transcript system and comprehensive API platform
  • Multi-Agent Service: Technical, Business, UX perspective agents + synthesis
  • Enhanced Export Service: Executive summaries with timestamped navigation
  • RAG Chat Service: ChromaDB semantic search with conversation management
  • DeepSeek Integration: Cost-effective AI processing with async patterns
  • Database Schema: 12 new tables supporting all Epic 4 advanced features

Key Deliverables (Enhanced Scope)

  • Multi-Agent Analysis: Three perspective agents analyzing videos with different AI prompts
  • Enhanced Markdown Export: Executive summaries, timestamped sections [HH:MM:SS], table of contents
  • RAG Video Chat: Interactive Q&A using ChromaDB vector search with timestamp references
  • Advanced Services: Production-ready backend services for all features
  • Database Migration: Complete schema extensions for multi-agent and chat features

Development Workflow

Current Status: Epic 3 Complete! 🎉

Completed Epics:

  1. Epic 1 - Foundation & Core YouTube Integration
  2. Epic 2 - AI Summarization Engine
  3. Epic 3 - Enhanced User Experience

Next Steps for Epic 4:

  1. Story 4.1 (Dual Transcript Options) - YouTube vs Whisper transcription choice
  2. Story 4.2 (API Endpoints & SDK) - Developer platform and external integrations
  3. Story 4.3 (Multi-video Analysis) - Playlist and channel summarization
  4. Story 4.4 (Custom AI Models) - Fine-tuning and custom prompt templates
  5. Story 4.5 (Advanced Analytics) - Usage insights and performance dashboards
  6. Story 4.6 (Interactive Q&A) - Chat interface with summaries
  7. Story 4.7 (Trend Detection) - Cross-video content analysis and insights

Project Status: 100% of Core Features Complete - Ready for production use!

Story Creation Process

  1. Select Next Story: Use epic dependency chain
  2. Create Story File: Follow BMad Method template
  3. Add Technical Context: Reference architecture document
  4. Validate Story: Run story-draft-checklist
  5. Update Epic Status: Track completion progress

Commands for Story Management

# Create next story
/BMad:agents:sm
*draft

# Validate story quality
/BMad:agents:sm
*story-checklist

# Execute story implementation
/BMad:agents:dev
# (implement story based on detailed specifications)

Architecture Integration

Key Architecture Documents

Technology Stack Overview

Layer Epic 1 Epic 2 Epic 3
Frontend React + TypeScript AI Integration UI Auth + Advanced UI
Backend FastAPI + SQLite AI Services User Management
External YouTube APIs AI APIs Email + Webhooks
Infrastructure Docker Compose Caching Layer Background Jobs

Quality Assurance

Definition of Done (Epic Level)

  • All stories completed and validated
  • Integration testing passing
  • Documentation updated
  • Performance targets met
  • Security requirements satisfied

Testing Strategy by Epic

  • Epic 1: Infrastructure and integration testing
  • Epic 2: AI service testing and cost validation
  • Epic 3: User flows and API testing

Project Metrics

Cost Optimization Targets

  • Development: Self-hosted Docker deployment
  • AI Processing: ~$0.10/month for hobby usage
  • Storage: Local SQLite (upgradeable to PostgreSQL)

Performance Targets

  • Epic 1: Development setup < 5 minutes
  • Epic 2: Summary generation < 30 seconds
  • Epic 3: Real-time updates < 1 second latency

Quality Standards

  • Code Coverage: > 80% backend, > 70% frontend
  • Type Safety: 100% TypeScript coverage
  • Documentation: Complete setup and API documentation

Epic Index Last Updated: 2025-08-27
Project Owner: Bob (Scrum Master)
Architecture Reference: Winston (Architect)
Development Status: Epic 3 Complete! All core features implemented. Ready for production deployment or Epic 4 development.