AI API Integration

Most businesses already have a product — they just need AI features added to it. Whether that's writing assistance, content generation, code review, summarisation, or intelligent search, the fastest path to AI capabilities is integrating the right LLM API into your existing stack.

The challenge isn't accessing the API — anyone can do that. The challenge is doing it in a way that's secure, reliable, cost-controlled, and maintainable in production. That's what MrjnIT specialises in. We build the server-side proxy layer that sits between your frontend and the AI provider, protecting your API keys, adding retry logic, caching repeated requests, and routing to cheaper models when appropriate.

We're model-agnostic and work with OpenAI (GPT-4, GPT-4o), Anthropic (Claude 3.5 Sonnet, Claude Haiku), Google (Gemini 1.5 Pro, Gemini Flash), Mistral, Llama, and custom fine-tuned models. We'll help you choose the right model for your budget and performance requirements, and build the abstraction layer so you can swap providers without rewriting your product.

Every integration includes comprehensive logging (for prompt iteration and debugging), structured error handling with meaningful user-facing messages, token usage tracking with budget alerts, and a test suite so your AI features don't break when providers update their models.