.png&w=1536&q=75)
Free Lesson
Building a Production Voice Agent End-to-End w/ Deepgram
Part of The AI Builders Summit
60 min
Aug 24, 2026 1:00 PM
What you'll learn
Build a voice agent end-to-end
Wire speech-to-text, the model, and text-to-speech into one working agent you can actually ship
Design for real-time latency at scale
The streaming architecture that keeps a voice agent fast enough to feel natural under real production load.
Handle interruptions and barge-in
Voice UX patterns for when users talk over the agent, so the conversation keeps flowing naturally.
Evaluate speech models for enterprise
How to judge accuracy, latency, and cost when choosing a speech stack for production use.
Why this topic matters
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.
.png&w=384&q=75)
