Let AI write realistic test scenarios from your agent prompt — then run them as real concurrent voice calls.
Paste your prompt and get hundreds of realistic test cases — no manual scripting.
Real phone calls through Vapi, Retell, LiveKit, or Pipecat — at production scale.
Angry, confused, accented, and adversarial callers that mirror your real traffic.
Configure a scenario suite once and run it on every deploy. Watch results, scores, and failures land in real time.
Everything you need to model real-world calls.
Easily frustrated and quick to escalate. Interrupts the agent, repeats demands, and threatens to switch providers if not acknowledged.
A library of caller personalities — moods, accents, and 65+ languages — so every scenario sounds like a real customer.
Trigger suites on a cadence or on every deploy — nightly regressions, hourly health checks, and CI gates that block bad prompts.
Group attributes — names, card numbers, balances and due amounts — into reusable test profiles, so every persona calls in with realistic, structured data.
See it in action
RubricHQ places a real phone call to your agent, simulating an angry customer demanding a refund.
As the call plays out, RubricHQ scores each agent response — flagging policy slips, timing every reply, and confirming what went right.
Why it matters
Your QA team tests 10-20 calls manually. The angry caller, the confused elderly user, the one who switches languages mid-call — they never get tested.
You update the prompt on Tuesday. By Friday, resolution rate has dropped 15% but nobody noticed because there's no automated comparison.
Your agent handles 10 concurrent calls fine. At 50, it starts mixing context between callers. You only find out from customer complaints.
Connect your agent, paste your prompt, and let AI write the scenarios.