February 24, 2026
I considered moving to Europe.
It made sense at the time. Life was pointing that direction.
Instead I chose North America. I chose ambition. I chose a problem big enough to stay for.
Not the company. The problem.
Hundreds of millions of people. Sellers running real businesses. Everyday people making real decisions. All of it mediated, increasingly, by AI systems that someone has to get right.
That someone could be me.
I design at the boundary between intent and implementation.
The gap between what a team decides and what actually ships—that's where most AI work fails. Not in the model. In the translation. I work to close that gap, using AI and code as thinking environments, not just as execution layers.
At startup scale, that skill is useful.
At Walmart scale, it's load-bearing.
Three things scale taught me that 0-to-1 couldn't
Taste has to be legible.
Small teams transmit standards through osmosis. At scale, that breaks. If you can't encode what good looks like, it dissolves across a thousand decisions a day. AI makes this urgent. You're not directing one output. You're directing millions.
Design is now the filter layer.
The job isn't making the right thing anymore. It's making the right thing surface. AI generates more than anyone can review. The real design problem is: what reaches people, what gets cut, what disappears. That's a systems question, not a UI question.
Incremental is underrated.
One better AI pattern used by a hundred thousand sellers isn't incremental. The math is different. I had to unlearn startup math to see it.
Europe is still in the plan. Just not yet.
There's a version of this work—AI that actually reduces friction for real people at real scale—that I want to see through first.
That's why I stayed.