- Implement comprehensive tRPC setup with type-safe API
- Create tRPC routers for dashboard, admin, and auth endpoints
- Migrate frontend components to use tRPC client
- Fix platform dashboard Settings button functionality
- Add platform settings page with profile and security management
- Create OpenAI API mocking infrastructure for cost-safe testing
- Update tests to work with new tRPC architecture
- Sync database schema to fix AIBatchRequest table errors
- Fix type assertion for session access in batchProcessor.ts
- Add explicit type annotation for batchRequests array in processingScheduler.ts
- Import AIProcessingRequest type from Prisma client
- All TypeScript compilation errors resolved
- Add AIBatchRequest and AIRequestStatus models to Prisma schema
- Create comprehensive batch processing system (lib/batchProcessor.ts)
- Add intelligent batch scheduler with automated management
- Update processing pipeline to use batch requests instead of direct API calls
- Integrate batch scheduler into main server startup
- Achieve 50% cost reduction on OpenAI API usage
- Improve rate limiting and processing reliability
