Real‑time voice agents sound simple in demos but fall apart the moment real users show up. Latency creeps in, people talk over the agent, accents and background noise wreck the transcript, and the whole experience slides straight into the uncanny valley.

This hands‑on session walks through building a production‑ready voice agent end to end using Python, low‑latency speech‑to‑text, responsive LLM orchestration, and fast speech synthesis. You’ll learn how to handle barge‑in interruptions, reliably detect end‑of‑turn boundaries, and add empythetic emotional responsiveness that makes the agent feel natural without slowing it down.