Voice is fast becoming a primary interface for AI, but most voice demos fall apart the moment real users show up: latency creeps in, people talk over the agent, accents and background noise break the transcript. This session walks through building a voice agent end-to-end, from speech-to-text to response to speech, with the architecture and trade-offs that actually hold up at enterprise scale.