·3 min read
Evals before launch
If you can't measure your AI feature, you can't safely ship it. A pragmatic guide to evals for small teams.
evalsAI
Why teams skip evals
Building the feature feels like progress. Writing 50 test cases feels like homework. So launch happens, regressions appear, nobody knows which prompt change caused them.
A starter eval setup
- 20–50 curated examples covering the real edges
- A scoring function — exact match, rubric, or a second model
- A nightly run that compares the last two prompt versions
- A dashboard your team actually opens
Compounding returns
Every new edge case becomes a permanent test. Within a month you can change models or prompts without holding your breath.
