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
In the space of thirteen months, Google took real-time speech translation from an English-and-Spanish demo at I/O 2025 to Gemini 3.5 Live Translate, a 70-language streaming model announced in June 2026 and now expanding into Google Meet through private preview, on top of the five-language version already
We built a self-hosted video calling system for a healthcare platform client, replacing the usual “meeting link” pattern with a real phone-call flow: clinician dials, patient’s phone rings, patient answers. Highlights: Read the full WebRTC.ventures Story of Success: Self-Hosted Jitsi for Telehealth: Ringing, Answer, and Recovery Instead
