On September 22–23, I was in Chicago for the IIT Real-Time Communications Conference at Illinois Tech, an annual IEEE conference where industry engineers and academic researchers present work on real-time communications. This year’s tracks covered programmable networks, WebRTC applications, emergency communications, and AI in real-time communications. I
A production voice agent has a latency budget of roughly 800 milliseconds before a conversation starts to feel slow. That budget is spent across eight sequential stages, typically split across three to five different vendors depending on how the stack is assembled. This post maps that voice
Voicebot latency is the most critical performance metric for voice-enabled Conversational AI systems. While text-based interactions can tolerate response delays of several seconds, voice agents must respond as quickly as possible to maintain natural dialogue flow. Even slight delays create slow voicebots with perceptible awkwardness that degrades
