Hey CoderLegion! One of the biggest complaints with AI calling is the lag. We wanted to share a raw snippet of our open-source framework, Siphon, in action. By using WebRTC under the hood instead of WebSockets, we've gotten the voice-to-voice respons...

Voice AI demos are everywhere. You call a number, an enthusiastic robot voice greets you, and you have a pleasant five-minute chat about the weather or the meaning of life. But the moment you ask: > “Can you squeeze me in for a cleaning next Tuesda...

Voice AI demos are cool — but most fail at one critical thing: doing real work. Today, I’m sharing how to build a production-ready AI Dental Clinic Receptionist that can check a real Google Calendar and book appointments over the phone. We’ll use S...

Building an AI that can chat via text is now a solved problem. Building an AI that can handle a real phone call in production is still a nightmare of fragmented infrastructure. Developers typically face a "plumbing" crisis: they must manually stitch...

Building an AI that chats is easy. Building an AI that calls is painfully hard. If you have ever tried to build a production-ready voice agent, you know the struggle: fighting with SIP signaling, debugging audio buffers, and wrestling with 2-second ...

Three months. That’s how long many teams spend building telephony infrastructure before writing a single line of actual conversation logic for an AI voice agent. Not because the AI was hard. Because telephony is brutal. Today, we’re open-sourcing ...