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 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 ...

Retrieval-Augmented Generation RAG has become the default approach for providing context and memory to AI applications. Understanding the RAG pipeline—from document ingestion to final response generation—is essential for building high-performance AI ...