The Transcript Looked Fine. The Call Wasn't. — Debugging Voice Agents, Arize
Voice agent transcripts mask real failures that only audio-level observability reveals
“the logs lie”
A product manager at Arize demonstrates that voice agent transcripts can appear correct while the actual call fails — illustrated with a live audio demo where 'order 14' was misheard as 'order 40' but the text log showed an apparent correction. The core insight is that latency, cue order, and transcription errors are invisible in text logs and require audio-level tracing tools to detect. This matters as voice agents proliferate in customer service and fast-food ordering, where silent failures have direct business impact.