Implemented complete review/edit workflow for voice commands with ML feedback collection:
**Backend:**
- Created V012 migration for voice_feedback table with user action tracking
- Added VoiceFeedback entity with approval/edit/reject actions
- Implemented voice feedback API endpoint (POST /api/v1/voice/feedback)
- Fixed user ID extraction bug (req.user.userId vs req.user.sub)
**Frontend:**
- Built VoiceActivityReview component with field-specific editors
- Integrated review dialog into voice command workflow
- Added approve/edit/reject handlers with feedback submission
- Fixed infinite loop by tracking processed classification IDs
**Features:**
- Users can review AI-extracted data before saving
- Quick-edit capabilities for all activity fields
- Feedback data stored for ML model improvement
- Activity creation only happens after user approval/edit
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Andrei
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