- Wrap all AvatarSelector callback handlers in useCallback in CreateModal.tsx
- Add isCancelled flag pattern to RobustCamera useEffect
- Inline camera initialization to avoid stale closure issues
- Add proper cleanup on component unmount
- Ensure camera stream is properly stopped if component unmounts during initialization
- Remove unused initializeCamera function
- Add React.memo to CameraSelfie to prevent unnecessary re-renders
- Memoize callbacks in CameraSelfie
- Track previous open/facingMode state in RobustCamera to detect actual changes
- Add streamAttachedRef to prevent duplicate stream attachments
- Fix useEffect dependencies to prevent cleanup on parent re-renders
- Ensure camera only initializes on actual dialog open (not parent re-render)
- Consolidate stream attachment into single useEffect
- Remove race conditions from multiple competing effects
- Add proper cleanup with video element reset
- Simplify state management using single stream state
- Add isMountedRef to prevent state updates after unmount
- Improve error handling with specific error messages
- Add canvas flip correction for front camera mirror effect
- Use explicit MIME type for MediaRecorder (audio/webm;codecs=opus)
- Add error handling for audio playback
- Copy chunks before creating blob to prevent race conditions
- Add key prop to audio elements for proper re-rendering
- Add TextToSpeechButton to Outline, Takeaways, and Guest tabs in analysis phase
- Add help icon with tooltip to Research Queries explaining the workflow
- Change Run Research button to show 'Next: Select Query' when disabled
- Add hint text 'Select a query to continue' when no queries selected
- Make header stack responsive with column layout on mobile
- Add responsive breakpoints for tab sizes and padding
- Fix image preview max widths for mobile screens
- Add responsive font sizes for info boxes
- Adjust container padding for smaller screens
- Fix icon sizes for mobile devices
- Remove Research Queries section from AnalysisPanel.tsx
- Keep QuerySelection component as single source for research queries
- Remove unused props (onRunResearch, isResearchRunning, selectedQueries, etc.)
- Add pandas to requirements-podcast.txt for usage tracking
- Fix LLM prompt to return plain strings instead of objects for enhanced_ideas
- Add object-to-string normalization for LLM responses that return objects
- Skip bible generation in podcast-only mode (onboarding disabled)
- Skip alerts polling in AlertsBadge when in podcast-only demo mode
- AlertsBadge: Skip agent alerts fetch in podcast mode
- UserBadge: Skip system status fetch in podcast mode
- SystemStatusIndicator: Skip monitoring stats in podcast mode
This prevents 404 errors when frontend calls endpoints that don't exist in podcast-only demo mode.
- Avatar images now use full available width (max 280px, responsive)
- Auto-collapse info banner after 8 seconds
- Add 'Show tips' link to expand collapsed info
- Fix image sizing to use contain instead of cover for better visibility
- canSubmit now checks for avatar presence (uploaded, brand, or generated)
- Checks avatarFile, avatarUrl, avatarPreview, brandAvatarFromDb, brandAvatarBlobUrl
- Updated tooltip to reflect new requirement
- Improve error message handling for common API failures
- Add announcementSeverity state for error/success styling
- Display errors with red alert styling in podcast dashboard
- Patch pricing redirect to route to podcast-maker instead of onboarding
- Allow all plan tiers in demo mode (remove alpha restriction)
- Add Stripe mode warning in demo when key is missing
- Add startup router mount assertions for subscription and podcast
- Add smoke test script for demo mode validation
- Add dedicated image_generation module with statistical extraction
- Support 16 industry domains with visual concept detection
- Add model-specific guidance for Ideogram, FLUX, GLM, Qwen, MAI
- Extract statistics, rankings, comparisons, and trends automatically
- Refactor backend/api/images.py to use new module
- Resolve merge conflicts in backend/services/today_workflow_service.py and frontend/src/stores/workflowStore.ts
- Backend: Keep robust handling for both dict and object types in TaskProposal conversion
- Backend: Combine dependencies coercion with task metadata normalization
- Frontend: Implement graceful fallback pattern (try server first, then local generation on unavailability)
- Add provenanceSummary integration from server responses
- Ensure degraded mode handling with appropriate messaging
