398 lines
12 KiB
Markdown
398 lines
12 KiB
Markdown
# Checkpoint 6: Product Vision Report
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## Product Vision: Trax Media Processing Platform
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### 1. Core Product Identity
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#### What Trax Is
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A deterministic, iterative media transcription platform that transforms raw audio/video into structured, enhanced, and searchable text content through progressive AI-powered processing.
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**Core Philosophy**: "From raw media to perfect transcripts through clean, iterative enhancement"
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#### What Trax Is NOT
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- A streaming service
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- A real-time transcription tool
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- A video editing platform
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- A content management system (though it integrates with one)
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- A social media platform
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#### Core Value Proposition
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1. **Accuracy First**: 99%+ accuracy through iterative improvement
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2. **Batch Native**: Process hundreds of files efficiently
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3. **Clean Iterations**: v1→v2→v3→v4 without breaking changes
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4. **Cost Efficient**: Smart caching and optimization
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5. **Developer Friendly**: CLI-first, protocol-based, testable
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### 2. Feature Prioritization Matrix
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| Priority | Feature | Version | Value | Effort | Risk | Status |
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|----------|---------|---------|-------|--------|------|--------|
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| **P0 - Critical** | | | | | | |
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| 1 | Basic transcription (Whisper) | v1 | High | Low | Low | Week 1-2 |
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| 2 | Batch processing (10+ files) | v1 | High | Medium | Low | Week 1-2 |
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| 3 | JSON/TXT export | v1 | High | Low | Low | Week 1-2 |
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| 4 | PostgreSQL storage | v1 | High | Medium | Low | Week 1 |
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| 5 | Audio preprocessing | v1 | High | Medium | Low | Week 2 |
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| **P1 - Essential** | | | | | | |
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| 6 | AI enhancement (DeepSeek) | v2 | High | Low | Low | Week 3 |
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| 7 | Progress tracking | v2 | Medium | Low | Low | Week 3 |
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| 8 | Error recovery | v2 | High | Medium | Medium | Week 3 |
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| 9 | Quality validation | v2 | Medium | Low | Low | Week 3 |
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| **P2 - Important** | | | | | | |
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| 10 | Multi-pass transcription | v3 | High | High | Medium | Week 4-5 |
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| 11 | Confidence scoring | v3 | Medium | Medium | Low | Week 4-5 |
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| 12 | Segment merging | v3 | High | Medium | Medium | Week 5 |
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| 13 | Performance metrics | v3 | Medium | Low | Low | Week 5 |
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| **P3 - Nice to Have** | | | | | | |
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| 14 | Speaker diarization | v4 | High | High | High | Week 6+ |
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| 15 | Voice profiles | v4 | Medium | High | High | Week 6+ |
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| 16 | Caching layer | v4 | High | Medium | Low | Week 7 |
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| 17 | API endpoints | v5 | Medium | Medium | Low | Month 2 |
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| 18 | Web UI | v5 | Low | High | Medium | Month 3 |
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### 3. Development Phases & Milestones
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#### Phase 1: Foundation (Weeks 1-2)
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**Goal**: Working CLI transcription tool
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**Milestones**:
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- ✓ PostgreSQL database operational
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- ✓ Basic Whisper transcription working
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- ✓ Batch processing for 10+ files
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- ✓ JSON/TXT export functional
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- ✓ CLI with basic commands
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- ✓ Audio preprocessing pipeline
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- ✓ **Enhanced CLI with progress reporting (COMPLETED)**
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**Success Metrics**:
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- Process 5-minute audio in <30 seconds
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- 95% transcription accuracy on clear audio
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- Zero data loss on errors
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- <1 second CLI response time
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- Handle files up to 500MB
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- **Real-time progress reporting with time estimates**
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- **Live performance monitoring (CPU, memory, temperature)**
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- **Intelligent error handling with user guidance**
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**Deliverables**:
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- `trax transcribe` command working
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- `trax batch` command for directories
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- `trax export` for JSON/TXT output
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- Basic error handling and logging
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- **Enhanced CLI with real-time progress reporting**
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- **Performance monitoring and intelligent error handling**
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- **Multiple export formats (JSON, TXT, SRT, VTT)**
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- **Advanced features (diarization, domain adaptation)**
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#### Phase 2: Enhancement (Week 3)
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**Goal**: AI-enhanced transcripts
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**Milestones**:
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- ✓ DeepSeek integration complete
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- ✓ Enhancement templates working
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- ✓ Before/after comparison available
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- ✓ Progress tracking implemented
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- ✓ Quality validation checks
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**Success Metrics**:
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- 99% accuracy after enhancement
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- <5 second enhancement time per minute of audio
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- Proper punctuation and capitalization
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- Technical term correction working
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- Clear error messages
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**Deliverables**:
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- `--enhance` flag for transcription
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- Enhancement configuration options
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- Quality score reporting
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- Progress bars in CLI
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- **Enhanced CLI with comprehensive progress reporting**
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- **Real-time performance monitoring**
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- **Intelligent batch processing with concurrent execution**
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#### Phase 3: Optimization (Weeks 4-5)
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**Goal**: Production-ready performance
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**Milestones**:
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- ✓ Multi-pass implementation
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- ✓ Confidence scoring system
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- ✓ Segment merging algorithm
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- ✓ Performance metrics dashboard
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- ✓ Batch optimization
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**Success Metrics**:
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- 99.5% accuracy with multi-pass
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- Confidence scores for each segment
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- 3x performance improvement over v1
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- Handle 100+ files in batch
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- <10% resource overhead
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**Deliverables**:
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- `--multipass` option
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- Confidence reporting
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- Performance comparison tool
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- Optimized batch processing
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#### Phase 4: Advanced Features (Week 6+)
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**Goal**: Speaker separation and scaling
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**Milestones**:
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- ✓ Speaker diarization working
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- ✓ Voice embedding database
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- ✓ Speaker labeling system
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- ✓ Caching layer operational
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**Success Metrics**:
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- 90% speaker identification accuracy
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- <2 second per speaker analysis
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- 50% cache hit rate
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- 100% backward compatibility
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**Deliverables**:
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- `--diarize` flag
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- Speaker statistics
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- Voice profile management
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- Cache management commands
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### 4. User Journey Maps
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#### Journey 1: Single File Processing
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```
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User runs: trax transcribe video.mp4
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↓
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System: Downloads if URL / Validates if local
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↓
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System: Extracts audio → Preprocesses → Transcribes
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↓
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Progress: [████████████████████] 100% Complete
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↓
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Output: Transcript saved to video_transcript.json
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↓
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User: Reviews transcript quality
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```
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#### Journey 2: Batch Processing
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```
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User runs: trax batch /media/folder --parallel 4
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↓
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System: Discovers 50 media files
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↓
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System: Queues and processes in parallel
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↓
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Progress: Processing 50 files [████░░░░░░] 23/50
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↓
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Report: 48 successful, 2 failed (with reasons)
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↓
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User: Re-runs failed items with fixes
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```
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#### Journey 3: Iterative Enhancement
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```
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User: Has v1 transcript → Wants better quality
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↓
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User runs: trax enhance transcript_id --version v2
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↓
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System: Applies AI enhancement
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↓
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Output: Shows diff between versions
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↓
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User: Approves and saves enhanced version
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```
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### 5. Success Metrics & KPIs
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#### Technical KPIs
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| Metric | v1 Target | v2 Target | v3 Target | v4 Target |
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|--------|-----------|-----------|-----------|-----------|
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| **Accuracy** | 95% | 99% | 99.5% | 99.5% |
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| **Speed (5min audio)** | <30s | <35s | <25s | <30s |
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| **Batch capacity** | 10 files | 50 files | 100 files | 100 files |
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| **Memory usage** | <2GB | <2GB | <3GB | <4GB |
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| **Error rate** | <5% | <3% | <1% | <1% |
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| **File size limit** | 500MB | 500MB | 1GB | 1GB |
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#### Business KPIs
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- **Adoption**: Active usage by Week 4
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- **Reliability**: 99% success rate after v2
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- **Performance**: 3x faster than YouTube Summarizer
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- **Cost**: <$0.01 per transcript with caching
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- **Scale**: Handle 1000+ files/day by v3
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#### User Experience KPIs
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- **Setup time**: <5 minutes from clone to first transcription
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- **Learning curve**: <30 minutes to master CLI
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- **Error clarity**: 100% actionable error messages
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- **Documentation**: 100% feature coverage
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- **Response time**: <1 second for all CLI commands
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### 6. Risk Mitigation Strategies
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#### Technical Risks
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| Risk | Impact | Probability | Mitigation | Contingency |
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|------|--------|-------------|------------|-------------|
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| Whisper memory overflow | High | Medium | Early chunking implementation | Add swap file support |
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| AI API costs | Medium | High | Aggressive caching strategy | Local model fallback |
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| Database performance | Medium | Low | JSONB indexing, connection pooling | Partition tables |
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| Batch processing failures | High | Medium | Robust error recovery | Manual retry tools |
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| Version incompatibility | High | Low | Protocol-based design | Version conversion tools |
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#### Product Risks
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| Risk | Impact | Probability | Mitigation | Contingency |
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|------|--------|-------------|------------|-------------|
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| Feature creep | High | High | Strict version boundaries | Feature flags |
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| User adoption | High | Medium | Excellent documentation | Video tutorials |
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| Accuracy expectations | Medium | Medium | Clear metrics reporting | Manual correction |
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| Complexity growth | High | Medium | Clean iteration strategy | Refactoring sprints |
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### 7. Competitive Advantages
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1. **Clean Iteration Path**: Each version builds on the previous without breaking
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2. **Real Files Testing**: No mocks, actual media files in tests
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3. **Protocol-Based Architecture**: Any component easily swappable
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4. **Batch-First Design**: Built for scale from day one
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5. **Cost Efficiency**: Smart caching and optimization strategies
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6. **M3 Optimization**: Leverages Apple Silicon performance
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7. **Fail-Fast Philosophy**: Clear, actionable errors
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8. **Developer Experience**: CLI-first, well-documented
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### 8. Future Vision (6+ Months)
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#### Potential Extensions
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**Version 5-6: API & Integration**
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- REST API endpoints
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- WebSocket support
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- SDK development
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- Third-party integrations
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**Version 7-8: Advanced Processing**
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- Multi-language support
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- Translation capabilities
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- Sentiment analysis
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- Topic extraction
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**Version 9-10: Platform Features**
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- Cloud deployment
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- SaaS offering
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- Team collaboration
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- Custom model training
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**Version 11-12: Enterprise**
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- On-premise deployment
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- HIPAA compliance
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- Advanced security
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- White-label options
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#### Platform Evolution Path
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```
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Quarters 1-2: Core transcription platform (v1-v4)
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Quarters 3-4: API and integrations (v5-v8)
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Year 2: Cloud platform and enterprise (v9-v12)
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Year 3+: AI platform expansion
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```
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### 9. Go-to-Market Strategy
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#### Phase 1: Developer Tool (Months 1-2)
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**Target**: Developers needing transcription
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**Channel**: GitHub, dev communities
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**Message**: "Fast, accurate, hackable transcription"
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**Goal**: 100 active users
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#### Phase 2: Professional Tool (Months 3-4)
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**Target**: Content creators, researchers
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**Channel**: Direct outreach, demos
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**Message**: "Production-ready media transcription"
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**Goal**: 500 active users
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#### Phase 3: Platform (Months 5-6)
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**Target**: Businesses, SaaS builders
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**Channel**: API documentation, partnerships
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**Message**: "Build on our transcription infrastructure"
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**Goal**: 10 enterprise customers
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### 10. Definition of Done
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#### Version-Specific Criteria
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**v1 Done When**:
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- [ ] 95% accuracy on test suite
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- [ ] Processes 10 files in batch successfully
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- [ ] Zero data loss on failures
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- [ ] CLI fully functional
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- [ ] Documentation complete
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- [ ] All tests passing
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**v2 Done When**:
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- [ ] 99% accuracy after enhancement
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- [ ] Enhancement templates customizable
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- [ ] Progress tracking working
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- [ ] All v1 features still work
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- [ ] Performance benchmarks met
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**v3 Done When**:
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- [ ] Multi-pass improves accuracy measurably
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- [ ] Confidence scores reliable
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- [ ] Performance 3x better than v1
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- [ ] Backward compatible
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- [ ] Batch processing optimized
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**v4 Done When**:
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- [ ] Speaker identification >90% accurate
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- [ ] Diarization adds value
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- [ ] Caching reduces costs 50%
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- [ ] All versions interoperable
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- [ ] Production ready
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### Final Success Criteria
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The Trax project will be considered successful when:
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1. **Technical Excellence**:
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- Achieves 99%+ accuracy
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- Processes files <30s for 5 minutes of audio
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- Handles 1000+ files/day reliably
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2. **User Satisfaction**:
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- User-reported satisfaction >95%
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- Clear, actionable error messages
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- Intuitive CLI interface
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3. **Operational Efficiency**:
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- Costs <$0.01 per transcript
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- Minimal manual intervention
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- Self-documenting codebase
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4. **Strategic Position**:
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- Clear path to v5+ features
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- Growing user base
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- Extensible architecture
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5. **Business Value**:
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- Replaces YouTube Summarizer successfully
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- Enables new use cases
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- Foundation for future products
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---
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## Executive Summary
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Trax represents a ground-up rebuild focusing on:
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- **Deterministic development** through explicit rules
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- **Clean iterations** from v1 to v4
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- **Batch-first design** for scale
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- **Real-world testing** with actual files
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- **Cost efficiency** through smart architecture
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The product vision emphasizes gradual, reliable progress over ambitious features, ensuring each phase delivers value while maintaining system integrity.
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---
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*Generated: 2024*
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*Status: COMPLETE*
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*Product Vision Approved: PENDING* |