Our Story

It started with GPT-3. When most people were still asking “what's AI?”, I was already in the trenches. The early version felt revolutionary — rough around the edges, but unmistakably world-changing. I started small. Just talking to it. Asking it questions. Seeing what it could do.

At my 9-to-5 in healthcare finance, I found it genuinely useful. Reading complex regulatory documents, assisting with collaborative ideation sessions, turning hours of work into minutes. This wasn't a toy. This was a tool.

Then came ChatGPT and the GPT Store. I dabbled in custom GPTs, built a few, experimented. But quickly I realized there was a different world underneath the chat interface — a massive developer community building real things. That pulled me deeper.

As I learned more about software development, I became passionate about Applied AI in business. First it was automations with Make.com and n8n. Then bolt.new and lovable.dev for rapid prototyping. The deeper I went, the more powerful the automations became. Each layer revealed another layer underneath it.

I started pursuing certifications — not for the credentials, but because I wanted to understand the full landscape. Machine learning. Natural language processing. Computer vision. Classification systems. I'd already been building automations, but this was a whole different level of understanding.

The certifications opened doors to sub-cultures I didn't know existed. I fell in love with the command line through Claude Code by Anthropic. I started truly building with AI — not just using it, but architecting systems around it.

I'm not a programmer. But I deeply understand AI's inner workings — its structure, its topology, and most importantly, how to implement it and weave it into real businesses. That's a different skill than writing code. It's the skill of seeing where AI fits and where it doesn't.

While the pace of AI innovation has been relentless, I've managed to stay 2-3 months ahead of the curve. Not because I'm smarter than anyone — because I'm obsessed. When DeepSeek had its viral moment, I'd been using it for weeks. When n8n went mainstream, I'd already automated half my workflows with it. Claude Code. OpenClaw. By the time something becomes the “next big thing,” I've already been building with it.

By the time you're reading this, the next viral AI moment has probably happened. And I was probably already there.