There are 4 phases to building fluency in AI. Here's what I experienced.

Phase 1 was just being open to it. Skepticism is fine. I had it too. But the cost of standing still kept getting higher, and curiosity is the only thing that gets you to phase 4. If you don't start here, you don't start.

Phase 2 was experimenting. I built for fun. Built things I loved. Didn't finish most of them. That's the point. Each half-finished project killed a little fear I had about AI and unlocked a door I didn't know was there. Felt like Jimmy Neutron in his lab.

Phase 3 was applied building. This is where it got real. I stopped slapping a chatbot on things and calling it AI. Started understanding things like RAG. Started designing systems, not just surfaces. Started building agents giving them skills, context, heartbeat. Felt strange. Got obsessed anyway. Then the agents broke. So I learned evals. Learned context engineering. Learned that agents don't solve everything you scope them down to one specific part of a problem and let the loop do the work.

Phase 4 is designing autonomous systems. One agent isn't enough. So you build a team of them. You become the orchestrator. And somewhere in there you start appreciating how complex human collaboration actually is because now you're trying to design it from scratch.

Vibe coding was just a scratch on the surface. A starting point. The foundational thing it could help me build was much bigger than the coding itself. Being AI-native isn't doing the surface work. It's about understanding the foundation underneath them.

Wrote an unfiltered guide on becoming an AI-native product designer. Comment "Guide" and I'll send it over.