Prompt Regression CheckJoin waitlist
For teams with LLM features in production

Know when a prompt or model change makes your LLM feature worse, before users do

A regression set built from your real traffic runs on every pull request and every model upgrade. You see which answers changed, which got worse, and what it costs, in the PR. OpenAI's hosted Evals goes read-only on 31 Oct 2026; bring your evals with you.

We'll email you about early access, at most twice. No spam; reply STOP to opt out.

Free now: export your OpenAI Evals before they go read-only on 31 Oct (runs in your browser)

Regression set from real cases

Keep the prompts that broke before as tests, with expected behaviour, format and cost limits.

Runs in CI, not a dashboard

A GitHub Action comments on the pull request: changed, better, worse, and cost per call.

Model upgrades without fear

Run the same set against a new model or provider version and get a diff before you switch.

On Hacker News, engineers call undocumented model regressions at the application layer the most frustrating kind.
Another: when you swap models or tweak prompts, regressions slip in: cost spikes, format drift, leaked PII.

Had this happen recently? Tell us what happened (4 questions, about 10 minutes, no sign-up).

Planned pricing: from $149/month per team

Flat team pricing. The GitHub Action and an OpenAI Evals export stay free.

Get early access

We'll email you about early access, at most twice. No spam; reply STOP to opt out.