01
AI API Integration & LLM Applications
Integration of OpenAI, Claude, Gemini or other model APIs into an existing application. The workflow, data handling and failure behavior are designed as part of the build, and the result is handed over as production-ready source code with implementation notes.
What this covers
- OpenAI, ChatGPT, Claude or Gemini API integration into an existing app
- RAG systems and assistants over proprietary data using LangChain, Pinecone or pgvector
- Custom AI agents with function calling, tools and automation
- LLM features for chat, summarization, classification, content and data pipelines
- Deployment on Vercel or AWS
- Clean source code and production-ready implementation
- Fine-tuning, MCPs, vector search and hybrid RAG where needed
What you receive
- A working AI feature integrated into the customer's application; configured OpenAI/ChatGPT/Claude/Gemini connection as scoped; RAG, agent, chatbot or LLM workflow where ordered; database/vector-store integration where required; tested source code; implementation notes/code comments; production-ready integration and deployment support where scoped.