Building an AI Voice Agent for 360 Degree Feedback: How Your360 AI Uses State Machines, Evals, and Layered Synthesis
Just Now PossibleShow Notes
What does it take to build an AI voice agent that people will talk to for 44 minutes about their own blind spots? Your360 AI found out, one call at a time.
In this episode of Just Now Possible, Teresa Torres talks with Jared Goralnick (Co-Founder and CEO), Eda Goksel Jackson (Head of Design), and Alex Krasun (AI Engineer) at Your360 AI. Their product brings interview-based 360 degree feedback, once reserved for the C-suite, to anyone. A voice AI coach named Tam runs the self-discovery call, interviews each feedback provider, and walks the recipient through their report.
They get specific about what it took: replacing a single prompt with state machines so Tam doesn't lose the thread, moving from Retell to LiveKit to control every layer of a cascading voice stack, and running AI evals with personas built from calls that failed. Then comes the hard part: synthesis that is accurate, corroborated, and genuinely anonymous.
You'll hear how they balance observability against sensitive data, why reasoning models are a poor fit for voice, and how structural and substantive eval passes catch both outright mistakes and missed patterns.
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