Shipping with LLMs in production without losing your mind

A convincing LLM demo takes an afternoon. A reliable LLM product takes evaluation, guardrails and the operational discipline to keep both honest as models and prompts change underneath you.

Evaluate like you mean it

We treat prompts and chains as code: every change runs against a versioned evaluation set with both automated graders and spot human review. If a change cannot beat the current baseline, it does not ship.

• Version prompts and datasets together.
• Mix automated graders with targeted human review.
• Track regressions per capability, not just an average score.

Observability for non-determinism

You cannot debug what you cannot see. We log inputs, tool calls and outputs for every interaction so we can replay any conversation and understand exactly why the model did what it did.