Your Evals Are the Product

Vibes do not scale

Every AI team starts by eyeballing outputs. It works for a week. Then a prompt tweak fixes one case and silently breaks nine, and nobody notices until a customer does.

Start with twenty examples

You do not need a research-grade benchmark. You need twenty real inputs with agreed-upon good outputs, run on every change. That single habit catches the majority of regressions.

Grow the set from production failures. Every incident becomes a permanent test.

Grade what users care about

Fluency is easy and irrelevant. Grade factual grounding, instruction adherence, refusal behaviour and format validity — the properties that break workflows downstream.