Blog

A voice agent can pass per-language accuracy tests and still fail live. Test its end-to-end multilingual behavior: detection, switching, and fallback.

Test knowledge grounding in voice agents: prove answers come from your approved knowledge base, retrieval is correct, and the agent defers when it should.

Test memory and context in voice agents across three scopes: turn, whole call, and separate sessions. Learn what to check and the failures to catch.

Testing a voice system where multiple AI agents coordinate means checking routing, handoff context, loops, task ownership, and end-to-end success.

Callers still press keys during voice agent calls. Learn how to test DTMF navigation, digit entry, and fallback so tones never break the task.

Verifiable rewards score voice agents with deterministic checks; LLM judges score nuance. Learn when each fits and how to combine them the right way.

A voice agent can call the right tool with the wrong arguments and still fail. Learn how to measure tool-argument accuracy end to end from speech.

You can't grade every production call. How to sample live calls for voice agent evaluation: random, stratified, and targeted methods, sizing, and PII.

Offline vs online voice agent evaluation compared on speed, realism, risk, and what each catches, plus how to combine them to gate releases and find drift.