AI Evals Suite
Teams ship AI features faster than they can tell whether a change made them better or worse.
PROTOTYPE
Try the product here.
The working prototype will be added with the final content.
Context
Most teams evaluate an AI feature by trying it. That catches obvious breakage and nothing else — no regression signal, no way to say whether last week's prompt change helped.
This is the piece I keep rebuilding by hand across projects, so I am building it properly once.
What I'm exploring
- Fixed task sets that stay stable long enough for a comparison to mean something.
- Graders that are explicit about what they measure, rather than one aggregate score.
- Run-over-run diffing — what changed, on which cases, and by how much.