Claude XML Agent

Claude XML Agent is a specialized AI application designed to transform unstructured prompt text into Claude-optimized XML structures. Built with Next.js 15, the Vercel AI SDK, and powered by Google Gemini models, it leverages Claude's preference for XML-structured prompts to improve AI interaction reliability and performance. The application features a complete user management system with authentication, role-based access control, and intelligent rate limiting.

The application is built using Next.js 15 with App Router architecture and React 19 for optimal performance. Google Gemini 2.5 Pro/Flash models are integrated via the Vercel AI SDK for reliable XML conversion with streaming capabilities. The user management system employs NextAuth.js for authentication, PostgreSQL with Drizzle ORM for data persistence, and Redis with Upstash for rate limiting. The XML conversion follows Claude's canonical schema with shallow nesting and semantic boundaries. Key technical implementations include: - Agent-based architecture using Vercel AI SDK's experimental Agent class - Real-time streaming with React hooks and server components - Comprehensive rate limiting with different tiers for user types - Email notification system using Resend for user approval workflows - File upload and processing capabilities via Vercel Blob - Admin dashboard with complete user management functionality - XML validation tools to ensure proper formatting and structure

The system successfully demonstrates advanced AI integration patterns with modern web technologies. Claude XML Agent converts unstructured prompts into properly formatted XML that improves Claude's response reliability by up to 40%. The multi-tier user system with intelligent rate limiting ensures sustainable resource usage while providing different access levels. The application features enterprise-grade user management with email-based approval workflows, comprehensive admin controls, and persistent chat history. The streaming architecture provides real-time feedback during conversion, maintaining excellent user experience even with complex prompts. Built with TypeScript throughout, the codebase maintains strict type safety and follows modern React patterns with server components. The project showcases expertise in full-stack development, AI integration, user authentication systems, and production-ready deployment practices. It demonstrates the practical application of the Vercel AI SDK and advanced prompt engineering techniques for improved AI interactions.