The choice between conversation-based and turn-based Voice AI agent patterns is a strategic business decision, not just a technical detail. Beyond what your agent will say, you must decide how it will run. This architectural choice defines how your voicebot will scale, what it will cost to
Many WebRTC applications struggle with outdated or inappropriate media server infrastructure, limiting their ability to scale effectively and support powerful AI features. Alfred Gonzalez, Senior WebRTC Engineer at WebRTC.ventures, walks us through the considerations, options, and steps to successfully migrate to another media server. He’ll then show
Voice AI applications need real-time and reliable audio communication for natural conversations with AI customer service bots, virtual assistants, IVR platforms, and other voice-enabled systems. Choosing the appropriate transport protocol is crucial for teams, as using the wrong one can lead to choppy audio, noticeable delays, and
Voice AI agents have unique deployment needs. Operational complexity multiplies quickly. You’re not just deploying code; you’re orchestrating real-time audio pipelines that need to maintain call quality under load, coordinate between AI services that each have their own scaling characteristics, and handle the networking complexities of audio
