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Piotr Piotr
System Optimization

The Surface Area of Disappointment: Hard Voice AI production lessons from a $3.2M a16z-backed founder

A conversation with Ezra AI Labs' Ophir Samson on the three stages of Voice AI disillusionment, the long tail that breaks demos in production, and why expectation management closes enterprise deals.

Article TL;DR

  • Demos cover the first 90%. Compliance, nefarious callers, accents, and guardrails live in the last 10%, and that is where enterprise deals live too.
  • No VAD, framework, or speech-to-speech model is a silver bullet. Start from the user, ship real evals, and manage expectations before you write code.
  • Every Voice AI team rebuilds their stack about three times, until they realise what capabilities they truly need. The better the voice sounds, the larger the surface area of disappointment.