Voice AI Gets Real in Production

A discussion with Bluejay co-founder and CTO Faraz Siddiqi examines the challenges of making voice AI agents reliable in real-world settings, where interruptions, accents, noise, network problems, tool failures, and unpredictable requests can undermine polished demos. Bluejay shifted from building restaurant voice agents to creating testing infrastructure after finding that manually validating one agent could require 10 to 12 hours across numerous ordering and reservation scenarios. Its simulated “digital humans” can place parallel calls under varied conditions, while its Replay feature turns production failures into reproducible regression tests. Siddiqi emphasizes that agent evaluation should focus on whether the intended downstream task is completed correctly, rather than isolated measures such as latency or instruction following, since delays can also alter how callers communicate. He also argues that teams should begin with manual testing and customer listening to develop intuition about real failure modes before scaling automation through simulation, observability, heartbeat checks, and regression testing.

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