SIP and RTP feed a call and its media into a voice AI pipeline. What happens next runs through the control plane: what the voice agent is told, and what it decides to do about it. In my talk at ClueCon this year, From SIP to Tokens:
Human speech is often unstructured and messy. To keep up with real conversation, Voice AI bots must parse partial sentences, filler words, and interruptions, all without the visual cues a human listener relies on. On top of that linguistic challenge, real-world latency budgets and network conditions test
Telephony agents built on Voice AI platforms like Retell AI make it easy for businesses to run live phone conversations through an AI agent instead of an IVR or human call center staff. Getting one of these agents into production means solving two things: integrating it with
How can AI scale clinical roleplay training beyond what live sessions with human trainers can deliver? For CETA Global, a nonprofit that trains frontline mental health providers around the world, the answer was an AI “flight simulator”: a real-time platform where psychologists practice difficult client sessions with an
