Two ways to leverage AI
There are two ways to leverage AI, and they're two different games, not two steps of the same journey. Mix them up without a mental model and it gets confusing fast.
Mikael Baron
AI got you to MVP. That's the easy part. Turning a fragile prototype into something that scales — with architecture that holds, teams that deliver, and engineering practices that don't slow you down — that's where I come in.
15+ years building systems and teams at
For founders whose AI-built prototype is starting to show cracks. Architecture, team setup, engineering practices — I get it production-ready.
Embedded technical leadership for teams refreshing their stack or shipping something new. I start with a concrete delivery, earn the standing, then broaden.
Structured sessions for founders stuck in product discovery. Problem framing, user insight, roadmap prioritisation — one direction instead of four.
There are two ways to leverage AI, and they're two different games, not two steps of the same journey. Mix them up without a mental model and it gets confusing fast.
Most advice about AI is about speed and leverage. Almost nobody talks about the prerequisite: knowing what you're building and why. Without that, AI is a drift accelerator.
I used AI to harden a platform for public-sector compliance anyway — and the whole trick was making sure it never made a single security decision.