Feature

Testing and evals

Synthetic callers that run your scenarios against the agent and score what it did.

Personas carry an accent, a mood and a line quality. The agent meets an impatient caller on a bad mobile before a real one rings.

An AI judge marks each run against the rubric you wrote. A regression shows up as a number that moved.

Every run measures latency, interruptions, tool failures and dead air, including the runs that passed.

The suite re-runs nightly, weekly or on the cadence you set. A model or knowledge change that breaks the agent shows up in the next run.

Plans

Testing and evals	Starter	Growth	Scale
Synthetic test callers + personas: accents, moods, bad lines	Yes	Yes	Yes
AI judge scoring + per-call quality metrics	Yes	Yes	Yes
Test runs on a schedule you set	No	Yes	Yes

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