Building LLM Features People Actually Use
AI features are easy to demo and hard to ship. Here's how we take LLM prototypes from impressive to genuinely useful in production.
The gap between an LLM demo and a production feature is enormous. The demo works on three hand-picked examples; production has to work on the thousand cases nobody thought of.
Grounding is everything. We rarely let a model answer from memory alone — retrieval-augmented generation over your own data keeps responses accurate, current, and defensible.
Evaluation is the unglamorous work that separates good AI products from flaky ones. We build evaluation sets early and measure quality on every prompt change, just like a test suite.
And we always design for the model being wrong. Clear affordances to edit, regenerate, or escalate to a human turn an occasional bad answer into a minor speed bump instead of a lost user.
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Our team is ready to turn your idea into a product people love.
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