- Improve error message handling for common API failures
- Add announcementSeverity state for error/success styling
- Display errors with red alert styling in podcast dashboard
- Skip onboarding in demo mode, redirect to podcast-maker
- Demo mode checks localStorage and env vars
- Remove mock subscription - use real subscription flow
- Add demoMode utility for consistent demo mode detection
- Skip onboarding API calls in OnboardingContext when in demo mode
- Redirect to /podcast-maker instead of /onboarding in demo mode
- 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
- Use canonical Clerk user id (clerk_user_id) across all onboarding entrypoints to ensure consistent OnboardingSession.user_id lookup
- Fix API key persistence in api_key_manager.py to use correct APIKey model columns (session_id, provider, key)
- Increase Node heap for frontend build to 8GB and add build:nomap script to disable sourcemaps and reduce memory usage
- Update onboarding endpoints (endpoints_core.py, onboarding_control_service.py, step_management_service.py) to prefer clerk_user_id over id
- Fix frontend workflowStore.ts TypeScript error by returning WorkflowError instance
- Add website_automation_service.py for onboarding automation
- 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
