The Transcript Looked Fine. The Call Wasn't. — Debugging Voice Agents, Arize

Fuad Ali from Arize AI explains why voice agents are uniquely challenging to debug, as critical issues like latency, interruptions, and tone are invisible in text logs. He presents a solution combining unified audio, transcript, and trace views with OpenInference semantic conventions and audio-native evaluations. The talk culminates in a vision for self-healing voice agents through automated observation, evaluation, and improvement cycles, demonstrating how to achieve robust, continuously improving AI voice systems.