Just recorded a full walkthrough of the system I've been building. 16 minutes covering: - 5 live interview questions answered in real-time - How the 9 agents coordinate (transcription → analysis → tactical coaching → response) - The agentic calendar that decomposes goals into daily tasks - Pre-interview dossier builder - What breaks and what works This is raw, unpolished, building in public. If you're curious how vibe coding actually works in practice - orchestrating multiple AIs to build things you have no traditional business building - this is it. https://youtu.be/7E9z1X-HEOs?si=uQVVgRZMl0hgs6BY Drop questions below. I'll answer everything.

Just dropped my first YouTube video showing Sero's Call Assist module in action. What it does: Takes audio from any call, transcribes it live using Whisper, detects when someone asks a question, and suggests a personalized response in about 2 seconds. This was built in a single late night session using the vibe coding method. No traditional programming. Just orchestrating AI tools to build something that actually works. The video is short, less than 2.5 minutes. You can see the question get detected and watch the response appear almost instantly. https://youtu.be/Lo8cBitoChU This is the kind of stuff we are building here. Real tools that solve real problems. Not tutorials that sit in a folder. Working systems. If you have questions about how it works or want to see the full build process with all the debugging and problem solving, let me know. I recorded the whole 45 minute session too. More coming soon.

I don't write code. I talk to AI and things get built. I know how that sounds. Trust me, I thought the same thing six months ago when I was fumbling through ChatGPT trying to figure out why it kept generating broken Python scripts that wouldn't run. Six months later, I've built trading bots executing real trades on Solana, autonomous AI assistants that operate without my input, automation systems I have no traditional business being able to create, and a local AGI project that's teaching me more about system architecture than any bootcamp could. The difference isn't that I learned to code. It's that I learned to orchestrate AI like conducting an orchestra. Claude handles architecture and complex reasoning. ChatGPT iterates rapidly and debugs edge cases. Grok validates logic and finds holes in my thinking. Each AI has strengths and blind spots. You learn to conduct them as an ensemble, not use them as isolated tools. Here's what that actually looks like at scale: I'm top 1% of ChatGPT users worldwide with over 17,000 messages sent in 2025. In November alone, I processed 251 million tokens through Claude's API. That's not conversation volume - that's feeding entire codebases between AI systems, maintaining context across thousands of iterations, orchestrating complex builds where I'm manually carrying complete system state from ChatGPT to Claude to Grok and back. Most people teaching AI have never hit a single API rate limit. I hit over 100 in one day because I was iterating faster than Anthropic's infrastructure could keep up. I'm not sharing those numbers to flex. I'm sharing them because they represent something specific: pattern recognition developed through volume that most people will never accumulate. When you've debugged the same category of error across fifty different projects in five different AI systems, you start seeing the underlying patterns. You develop intuition for what will work before you try it, for what's going to break before it fails, for how different AI models think about the same problem differently.