Prove the agent before it talks.
Most voice agents ship on vibes. Yours can ship on numbers: simulated callers, scored runs, scheduled regressions, and full observability on every real call after launch.
From persona to proof.
The same loop QA teams run on software, built for phone calls - and connected to the flow builder, so a failing case points at the node that caused it.
Simulated callers with their own voice, patience, background noise, language, and interruption habits. Test the impatient caller before they call.
Scenario cases in an editable spreadsheet - custom columns, expected outcomes, tags. Run the whole sheet against a draft agent.
Deterministic and model-graded scorers check every run: did it book, did it stay on script, did it hallucinate a discount.
Regression suites on a schedule. Change a prompt on Tuesday, know by Wednesday morning if anything broke.
Failing scores and broken runs route to email, Slack, or a webhook - with dedupe, so an incident is one ping, not forty.
Full call traces, searchable. Edge cases go to a human review queue and get promoted straight into the regression set.
Observability on every real call.
Launch day is where most platforms stop watching. This one keeps scoring: live calls flow into the same scorecards, reports, and alert rules as your simulations.
- Overview scorecards · run health, success rates, and metric trends in one place.
- Multi-run reports · compare versions side by side, export the PDF for the client.
- Conversation scoring · apply saved scorers to real transcripts, not just simulations.
- Trace search · every agent decision is a searchable trace when something needs explaining.
- Human review loop · graders label edge cases; one click turns a bad call into a permanent regression test.
Ship agents the numbers say are ready.
Build a flow, point a test set at it, and watch the scorecard fill in. Then publish knowing what happens on the phone.