Build the agent
Score a release against real cases
Turn saved conversations into a scored suite, and let it stand between a draft and production.
Write assertions on your golden cases, score a replay against them, and make a passing suite a condition of publishing.
What this changes for your team.
A golden case is a real conversation you kept. Assertions say what a good answer to it must contain, and replaying a changed draft scores every case against them so the verdict sits beside the diff. Where you want the suite to be binding, switch on the release gate for that agent and a publish waits for a pass.
How it works in practice.
- 01
Save conversations worth keeping as golden cases, then write assertions on what a good answer must contain.
- 02
Replay a changed draft against the suite and read the per-case verdict beside the diff.
- 03
Switch on the release gate for the agents where a passing suite should be a condition of publishing.
What you can plan around.
The behaviour you can design against, stated concretely.
The same scorer runs at write time against the case's own recording, so an assertion that could never pass is rejected as you write it rather than at the next release.
A case with no assertions reports as unscored - a third state everywhere it appears, and never counted as a pass.
The gate matches the tested draft against the exact setup being published, using the same comparator that decides whether there are changes to publish at all.
A suite run stores identity only; its tallies are aggregated from the runs beneath it, so a headline score and its cases cannot drift apart.
Bring one real process
See how Yekar.AI fits the way you work.
Start with a job your team already owns, plus the tools and decisions around it.
Talk to us