AI Voice Agents Explained: Build One That Talks Back (2026 Full Guide)
This tutorial introduces building a browser-based AI voice interviewer using Agora, explaining the core ASR-LLM-TTS loop, turn-taking and interruption handling, token-based authentication, and server/browser responsibilities, while guiding viewers through project setup and outlining future lessons on model swapping, scoring, and real-world testing.
MAIN POINTS FROM TRANSCRIPT
- Voice agents combine ASR, LLM, and TTS to convert speech into responses and back into audio.
- Turn-taking logic determines when the agent should listen, pause, or interrupt like a human.
- The browser handles microphone input and playback, while the server issues tokens and coordinates agent calls.
- The course begins by creating an Agora project for an AI interviewer and preparing the environment.
TAKEAWAYS
- Building a voice AI agent is presented as approachable, not overly complex.
- A realistic conversational feel depends heavily on interruption and turn-taking behavior.
- The project is reusable knowledge for creating many kinds of voice agents beyond interviews.
- Free starter minutes and a guided setup make it easy to begin experimenting quickly.