The evaluation suite: how we ship AI without holding our breath

Shipping AI without evals is shipping a feature you can't measure and can't defend. Every prompt tweak becomes a coin flip, and every model upgrade a gamble on whether last month's behaviour still holds.

Our baseline for a production program: a golden dataset that encodes what 'correct' means, a regression gate in CI that fails the build if accuracy drops below an agreed budget, and per-capability scores so a fix in one area can't silently break another.

This turns AI work into normal engineering. Changes are proposed, measured, and merged on evidence — not vibes — and when a client asks 'is it getting better?' the answer is a chart, not an opinion.