Echelon Phase 3 Detailed To-Do List

Echelon Phase 3 Detailed To-Do List

## Status Overview
- Phase 1: ✅ Complete (Audio Engine)
- Phase 2: ✅ Complete (Scheduler & Safety)
- Phase 3: 🚧 In Progress (Motion, Voice & Phrase Intelligence)
- Week 13: ✅ Complete (Motion Stream Integration)
- Week 14: ✅ Complete (Voice Control Integration)
- Week 15: ⏳ In Progress (Phrase Intelligence Service)
- Week 16: ⏳ Pending (UI Foundation & Deck Lanes)
- Week 17: ⏳ Pending (Phrase Browser & Automation)
- Week 18: ⏳ Pending (Integration & Beta Review)

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Week 15 — Phrase Intelligence Service

### 15.1 Phrase Database Service
- [ ] Create phrase-intelligence crate
- [ ] Add crate to workspace
- [ ] Set up dependencies (FAISS bindings or alternative ANN)
- [ ] Define `Phrase` struct with metadata
- [ ] Define `PhraseDatabase` struct
- [ ] Implement database loading from Episode 1 format
- [ ] Implement FAISS index building
- [ ] Implement `search_similar()` method
- [ ] Add unit tests for phrase loading
- [ ] Add unit tests for similarity search
- Dependencies: FAISS Rust bindings or manual ANN implementation
- Deliverable: Phrase database loads and searches phrases

### 15.2 Recommendation Engine
- [ ] Create PhraseRecommender struct
- [ ] Define `RecommendationContext` struct
- [ ] Implement context-based recommendation strategy
- [ ] Implement motion-driven recommendation strategy
- [ ] Implement tempo-matched recommendation strategy
- [ ] Implement mood-based recommendation strategy
- [ ] Add `recommend()` method returning top-K phrases
- [ ] Implement recommendation scoring algorithm
- [ ] Add unit tests for recommendation strategies
- Dependencies: Phrase database (15.1)
- Deliverable: Recommendation engine suggests contextually appropriate phrases

### 15.3 Online Recommendation Service
- [ ] Create HTTP/gRPC service wrapper
- [ ] Define service endpoints (`POST /recommend`, `GET /phrase/{id}`)
- [ ] Implement request/response types
- [ ] Add caching layer for recent recommendations
- [ ] Implement cache invalidation logic
- [ ] Add latency tracking (<5 ms target)
- [ ] Integrate with scheduler (motion events → recommendations)
- [ ] Add integration tests
- Dependencies: Recommendation engine (15.2)
- Deliverable: Online service provides <5 ms phrase recommendations

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Week 16 — UI Foundation & Deck Lanes

### 16.1 UI Framework Setup
- [ ] Choose and set up UI framework
- [ ] Evaluate egui vs iced for performance/features
- [ ] Create `echelon-ui` crate
- [ ] Set up window management (main window, phrase browser, settings)
- [ ] Implement IPC between UI and engine (channels or shared memory)
- [ ] Add UI telemetry (FPS, render time tracking)
- [ ] Create basic window layout
- Dependencies: egui or iced crate
- Deliverable: UI window opens and displays basic layout

### 16.2 Deck Lane UI
- [ ] Implement deck lane visualization
- [ ] Create `DeckLane` struct
- [ ] Implement waveform display (load audio → compute waveform)
- [ ] Add playhead position indicator
- [ ] Implement transport controls (play/pause, stop, seek slider, loop toggle)
- [ ] Add EQ visualization (three-band knobs, gain meters, frequency response)
- [ ] Connect UI controls to engine (button clicks → action queue)
- [ ] Add real-time updates (position, meters)
- Dependencies: UI framework (16.1)
- Deliverable: Deck lanes display waveforms and respond to user input

### 16.3 Crossfader & Master Controls
- [ ] Implement crossfader visualization
- [ ] Create horizontal slider (-1.0 to 1.0)
- [ ] Add visual feedback (left/right deck highlighting)
- [ ] Implement smooth animation
- [ ] Add master controls (limiter threshold knob, master gain slider)
- [ ] Implement output level meters (L/R)
- [ ] Create automation curve editor skeleton
- [ ] Connect controls to engine
- Dependencies: Deck lanes (16.2)
- Deliverable: Crossfader and master controls functional

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Week 17 — Phrase Browser & Automation

### 17.1 Phrase Browser UI
- [ ] Create phrase browser window
- [ ] Define `PhraseBrowser` struct
- [ ] Implement phrase list view (metadata, thumbnail, preview waveform)
- [ ] Add search/filter UI (text search, tempo range, energy level, mood selector)
- [ ] Implement drag-and-drop (phrase → deck lane → load)
- [ ] Connect to recommendation service (display recommended phrases)
- [ ] Add real-time updates (recommendations refresh on motion events)
- [ ] Implement phrase preview playback
- Dependencies: Phrase intelligence (15.3), UI framework (16.1)
- Deliverable: Phrase browser displays recommendations and allows loading

### 17.2 Automation Curve Editor
- [ ] Implement automation lane
- [ ] Define `AutomationLane` struct
- [ ] Define `AutomationCurve` struct with points
- [ ] Add curve editing (click to add, drag to move, delete points)
- [ ] Implement Bezier curve interpolation
- [ ] Add beat quantization (snap points to beat grid)
- [ ] Implement playback visualization (playhead, real-time parameter value)
- [ ] Export automation to scheduler (curve → scheduled parameter changes)
- [ ] Add undo/redo functionality
- Dependencies: Deck lanes (16.2)
- Deliverable: Automation curves can be edited and played back

### 17.3 MIDI Learn UI
- [ ] Implement MIDI learn interface
- [ ] Create "Learn" button for each control
- [ ] Display MIDI mapping (CC/note → action)
- [ ] Add edit/delete mapping functionality
- [ ] Implement MIDI device selection (list devices, select input)
- [ ] Add test MIDI input functionality
- [ ] Store MIDI mappings in config file
- [ ] Add visual feedback during learn mode (highlight control, show MIDI message)
- [ ] Integrate with existing MIDI handler
- Dependencies: MIDI handler (✅), UI framework (16.1)
- Deliverable: MIDI learn UI allows mapping controls to MIDI messages

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Week 18 — Integration & Beta Review

### 18.1 End-to-End Integration
- [ ] Wire all components together
- [ ] Connect motion bridge → motion translator → action queue
- [ ] Connect voice recognizer → command parser → action queue
- [ ] Connect phrase recommender → phrase browser → deck loader
- [ ] Connect UI → action queue → scheduler → engine
- [ ] Test full pipeline (motion gesture → phrase → deck load → play)
- [ ] Test voice command → deck operation
- [ ] Test UI control → engine response
- [ ] Verify latency budgets:
- Motion → action: <50 ms
- Voice → action: <200 ms
- Phrase recommendation: <5 ms
- UI → engine: <10 ms
- Deliverable: Full pipeline operational end-to-end

### 18.2 Performance Optimization
- [ ] Profile and optimize UI rendering
- [ ] Measure UI FPS (target: 60 FPS)
- [ ] Optimize waveform rendering (reduce allocations)
- [ ] Optimize deck lane updates (batch updates)
- [ ] Profile phrase recommendation:
- Cache recent queries
- Precompute common recommendations
- Use SIMD for similarity search
- [ ] Profile motion/voice processing:
- Batch motion events
- Optimize voice recognition (reduce model size if needed)
- [ ] Add performance telemetry (UI FPS, recommendation latency, motion processing time)
- Deliverable: Performance meets targets (<10 ms audio, 60 FPS UI, <5 ms recommendations)

### 18.3 Beta Demo
- [ ] Create beta demo executable
- [ ] Create `examples/beta_demo.rs`
- [ ] Showcase motion-controlled crossfading
- [ ] Demonstrate voice commands for deck operations
- [ ] Show phrase recommendations based on motion
- [ ] Display UI deck lanes with automation
- [ ] Record demo video (5-minute performance demonstration)
- [ ] Run beta test checklist:
- [ ] Motion gestures trigger actions
- [ ] Voice commands recognized accurately (>90
- [ ] Phrase recommendations contextually appropriate
- [ ] UI responsive and intuitive
- [ ] No crashes during 30-minute session
- Deliverable: Beta demo executable and video

### 18.4 Documentation & Usability
- [ ] Update phase documentation
- [ ] Update `docs/phase/phase-3.md` with:
- Motion setup instructions
- Voice command vocabulary
- Phrase database loading guide
- UI usage manual
- [ ] Create quick start guide:
- How to connect motion devices
- How to enable voice control
- How to load phrase database
- How to use UI controls
- [ ] Add code examples for:
- Motion event handling
- Voice command integration
- Phrase recommendation usage
- UI customization
- [ ] Document known limitations:
- Motion device requirements
- Voice recognition accuracy
- Phrase database size limits
- Deliverable: Complete documentation for Phase 3 features

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Phase 4 — Release Preparation (Future)

### Remaining Phase 4 Tasks
- [ ] Computational rehearsal loop automation
- [ ] Nightly cloud training jobs
- [ ] Installer builds (macOS/Windows)
- [ ] Telemetry dashboards
- [ ] Pre-release soak tests
- [ ] Pilot artist onboarding
- [ ] 1.0 go/no-go decision

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Technical Debt & Improvements

### High Priority
- [ ] Link SDK Integration (Phase 2)
- [ ] Obtain Ableton Link SDK license
- [ ] Complete FFI bindings
- [ ] Test Link synchronization
- [ ] Integrate LinkClock into scheduler

• [ ] Whisper-rs Integration (Phase 3)
• [ ] Download Whisper model files
• [ ] Complete voice recognizer implementation
• [ ] Test voice recognition accuracy
• [ ] Optimize for real-time performance

• [ ] FAISS Integration (Phase 3)
• [ ] Evaluate faiss-rs vs manual ANN
• [ ] Implement phrase similarity search
• [ ] Optimize for <5 ms latency

### Medium Priority
- [ ] Performance Profiling
- [ ] Profile audio callback path
- [ ] Profile scheduler thread
- [ ] Profile UI rendering
- [ ] Identify and fix bottlenecks

• [ ] Error Handling
• [ ] Add comprehensive error types
• [ ] Implement error recovery strategies
• [ ] Add telemetry for errors

• [ ] Testing
• [ ] Add integration tests for full pipeline
• [ ] Add performance benchmarks
• [ ] Add stress tests

### Low Priority
- [ ] Code Quality
- [ ] Remove unused code
- [ ] Add missing documentation
- [ ] Refactor duplicated code
- [ ] Improve naming consistency

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Blocked/Waiting On

### External Dependencies
1. Ableton Link SDK
- Status: Requires license approval
- Impact: Link synchronization unavailable (using LocalBeatClock fallback)
- Action: Request SDK access

2. Whisper Model Files
- Status: Need to download
- Impact: Voice recognition not fully functional
- Action: Download Whisper base/small model

3. Episode 1 Phrase Database
- Status: Need to export from Episode 1
- Impact: Phrase recommendations unavailable
- Action: Export Episode 1 phrases, convert to Echelon format

4. FAISS Rust Bindings
- Status: Need to evaluate options
- Impact: Phrase search may be slower
- Action: Evaluate faiss-rs vs manual ANN implementation

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Immediate Next Actions (This Week)

### Priority 1: Phrase Intelligence (Week 15)
1. [ ] Create phrase-intelligence crate
2. [ ] Define Phrase and PhraseDatabase structs
3. [ ] Implement phrase loading from Episode 1 format
4. [ ] Implement similarity search (start with linear, optimize later)
5. [ ] Create PhraseRecommender with basic strategies
6. [ ] Add unit tests

### Priority 2: UI Foundation (Week 16)
1. [ ] Choose UI framework (egui recommended for performance)
2. [ ] Create echelon-ui crate
3. [ ] Set up basic window
4. [ ] Implement IPC between UI and engine
5. [ ] Create deck lane skeleton

### Priority 3: Integration Testing
1. [ ] Test motion bridge with real Episode 1 API
2. [ ] Test voice parser with sample transcripts
3. [ ] Test phrase database loading
4. [ ] Create integration test suite

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Success Metrics

### Week 15 Targets
- [ ] Phrase database loads 1000+ phrases
- [ ] Similarity search completes in <5 ms
- [ ] Recommendation engine suggests relevant phrases (>80

### Week 16 Targets
- [ ] UI runs at 60 FPS
- [ ] Deck lanes display waveforms correctly
- [ ] UI controls trigger engine actions

### Week 17 Targets
- [ ] Phrase browser displays recommendations
- [ ] Automation curves can be edited
- [ ] MIDI learn UI functional

### Week 18 Targets
- [ ] Full pipeline operational
- [ ] All latency targets met
- [ ] Beta demo showcases all features
- [ ] Documentation complete

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Notes

• Motion Bridge: ✅ Complete, ready for Episode 1 integration
• Voice Control: ✅ Structure complete, needs Whisper model for full functionality
• Phrase Intelligence: ⏳ Next priority
• UI: ⏳ Waiting on phrase intelligence for phrase browser

This to-do list will be updated as tasks are completed and new requirements emerge.