Adding Voice AI to WebRTC applications presents unique technical challenges and user experience considerations. How do you architect systems that handle real-time audio processing, maintain conversational context, and deliver natural, responsive interactions? And how do you design interfaces that adapt to the dynamic nature of AI-powered communication?
In this episode, two members of the WebRTC.ventures team share insights from real-world projects integrating AI agents into live video environments, and designing interfaces for them.
- Hector Zelaya (WebRTC Developer Advocate) will explore the real-time requirements of routing audio from a WebRTC session to an AI agent instead of a human. He’ll discuss common architectural patterns like the “bot runner” approach, the roles of speech-to-text (STT) and text-to-speech (TTS) services, and best practices for effectively combining these technologies.
- Daniel Phillips (Lead UI Designer) will dive into designing interfaces that adapt to user needs and context in real time, and how that has changed from traditional approaches. He’ll talk about using UX to address latency, the human-in-the-loop philosophy, and essential transparency features that provide context for AI-generated responses.
Join us to discover how your organization can take advantage of Voice AI technology today, gaining practical strategies to leverage this emerging capability and stay ahead in an increasingly AI-powered communication landscape.
Bonus Content
- Our regular monthly industry chat with Tsahi Levent-Levi. This month’s topic: Is too WebRTC comple? You can also watch this content on our YouTube channel.
Scroll down for key insights and episode highlights.
Watch Episode 103!
Key Insights and Episode Highlights to follow
Up Next! WebRTC Live Episode 104
with guest, AI Researcher Yahia Salman
Wednesday, July 16 at 12:30 pm EDT
