Voice agent benchmarking harness for picking a model stack
From AI Engineer — How to Build Voice Agents That Don't Fall Apart When You Interrupt - Jesse Hall, LiveKit at 15:44
Problem: Model leaderboards score individual components on clean audio, but you ship a full conversation over noisy real-world calls, so the top leaderboard model is often wrong for your use case.
For: Developers building production voice agents in domains with high error cost, like financial services.
Products from this video
Examples
- Hotel receptionist agent demo that kept the conversation flowing while saving bookings to a back end, even when the caller interrupted.
Other takes on AI evaluation and benchmarking
- Evaluation pipeline for high-stakes AI agents (trace, curate datasets, expert-reviewed failure modes, CI quality gates)
- AI technical due diligence service for investors and acquirers evaluating automation claims
- Event-driven adversarial PR review service as a standing agent job
- An independent evaluation company for foundation models and agents
- Per-agent tracking and evaluation tables for ROI reporting
- Developing specialized AI benchmarks for professional workflows