Building real-time applications with AI requires disciplined engineering, not just clever prompting. That was the core thesis of the June 2026 AI Tinkerers San Salvador meetup, sponsored by WebRTC.ventures and AgilityFeat. In this post, we share key takeaways from the event: starting with real-world applications like an
“Real-time voice AI only works when infrastructure makes latency feel invisible. For us, that meant changing the shape of our WebRTC deployment without changing what clients expect from WebRTC itself.” A firsthand look at how OpenAI rearchitected their entire WebRTC stack for global scale, straight from Yi Zhang,
If your call center wants to use AI to automate call intake and handoff without losing the personal touch, a SignalWire Voice Agent can help. In this tutorial, you’ll build a Python-based AI receptionist that greets callers, captures the information you need, qualifies intent, and hands the
Voice agents are moving out of demos and into production systems that handle customer requests, account actions, healthcare questions, financial details, and support escalations. That changes the security model. A voice agent is listening, deciding, acting, and speaking in real time. That is why voice agent security
