Voice AI is having a moment - and honestly, it's more accessible than you might think. In this session, I'll walk you through building a fully functional voice AI agent from scratch, using real-time speech-to-text, a large language model for reasoning, and text-to-speech to talk back.

We'll cover the full loop: capturing audio, transcribing it with low latency, feeding it to an LLM with the right context, and streaming audio back - fast enough to feel like a real conversation. Along the way I'll dig into the design decisions that actually matter: interruption handling, conversation state, and keeping latency low enough that your agent doesn't feel like it's thinking too hard.

By the end of this session, you'll have a clear mental model of how voice agents work under the hood, a working architecture you can build on, and enough practical knowledge to ship something at the hackathon today.

No prior voice AI experience needed - if you've worked with an API before, you're good to go.