Wiring an API key into your app isn't the same as building a real integration. LiFet connects ChatGPT and Claude directly into your actual product and your actual data, with real prompt engineering and real guardrails, not a default response pasted into a text box.

This page is for founders and companies who specifically want ChatGPT or Claude powering a real feature, not a custom model built from scratch. Products that need real, grounded answers instead of generic model output, and teams that want the integration done with real guardrails from day one, not bolted on after something goes wrong.

Pasting an API key into your app gets you a model that knows nothing about your actual business, your actual data, or your actual users, which is exactly how AI features end up giving confidently wrong answers. LiFet builds real integrations grounded in your actual data, with real prompt engineering and real fallback logic, so the model's output is actually useful, not just fast.
Direct ChatGPT or Claude API integration into your real product.
Prompt engineering built around your actual use case, not a default prompt.
Grounding the model in your real data so answers are accurate, not invented.
Conversation memory and context handling across multiple turns.
Guardrails and content filtering built for your real use case.
Fallback logic for when the model can't confidently answer.
We review your actual use case, your actual data, and flag real risks before any code gets written.
The exact integration scope and any real compliance requirements get locked in writing before development begins.
A real, tested interaction flow you review and approve before the build phase starts, not a placeholder mockup.
The real technical foundation gets built first, API connections and data grounding, before any feature work starts.
The integration gets built and verified one piece at a time, tracked against a visible pipeline you can see progress on.
Every response path is tested against real inputs before it counts as done, not assumed working.
The integration goes live inside your real product, not a separate standalone demo.
Real, ongoing monitoring and prompt tuning after launch, not a one time handoff.
Python and Node.js for real integration logic, FastAPI for clean API connections, OpenAI API and Anthropic API for the core models, PostgreSQL, Supabase, and Redis for grounding data and context, and React, TypeScript, and GraphQL for the interface layer.
We don't paste in a default prompt, we build a real integration grounded in your actual data.