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// ai api integration development

AI API Integrations

You have a product. You have an AI feature you want to add. The gap between those two things is the integration work — and that’s exactly what I do.

What it is

I handle the full integration layer between AI APIs and your existing product or codebase. That means prompt engineering, function calling and tool use, streaming responses, context window management, token optimization, error handling, and retry logic. The part of AI development that’s less about the model and more about making the model actually work reliably inside your system — on real user inputs, at real scale. Works with OpenAI, Anthropic (Claude), Google Gemini, Mistral, Cohere, and open-source models via Ollama or vLLM.

Who it's for

Development teams adding AI features to an existing product who don’t want to spend weeks on integration details. Founders who’ve built something in the OpenAI playground and need to turn it into a real production feature. Anyone who’s paying for an AI API and not getting the full value out of it.

What you get

  • Clean API integration with proper error handling and automatic retry logic
  • Prompt design and optimization tuned to your specific use case
  • Streaming implementation for responsive, real-time user experience
  • Token usage tracking and cost controls built in from the start
  • Context management strategy for multi-turn conversations
  • Typical result: AI feature goes from proof-of-concept to production-ready in 1–3 weeks

Common questions

OpenAI, Anthropic (Claude), Google Gemini, Mistral, Cohere, and open-source models hosted via Ollama, vLLM, or similar self-hosted inference setups. If there’s an API for it, I can integrate it.

All services