Coding
gemini-3.0-pro
AI Data Platform: Full-Stack Code Generation
Generate a production-ready data analysis platform with AI integration. Get full-stack code, API, and deployment guide. Start building now!
8.7
Performance Score
1,688ms response time
60 views
1 copies
Last tested: 5 months ago
The Prompt
You are an AI/ML engineer and full-stack developer. Build a complete data analysis platform application powered by custom fine-tuned model. ARCHITECTURE: - Tech Stack: Node.js + Next.js - AI Integration: custom fine-tuned model with proper API handling, error recovery, and fallback mechanisms - Features: API rate limiting REQUIREMENTS: 1. Complete application architecture with AI service layer 2. User interface for interacting with AI models 3. Prompt engineering and template system 4. Response streaming implementation 5. Conversation management and history 6. User authentication and usage tracking 7. Cost monitoring and budget alerts 8. Rate limiting and quota management 9. Error handling for API failures 10. Analytics dashboard for usage metrics 11. Admin panel for model configuration 12. API documentation DELIVERABLES: - Full-stack application code - AI service integration layer - Frontend with real-time updates - Database schema for conversations and analytics - API endpoints for AI interactions - WebSocket setup for streaming (if applicable) - Environment configuration - Deployment guide - Prompt library and examples Generate a production-ready AI application with all necessary components, error handling, and best practices. EXTRA: Include performance benchmarks and optimization tips. DEPTH: Provide deep technical details and architectural decisions. [Ref: f142e5f7]
Tags
application
model
handling
error
full-stack
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