You've been in the Bay Area for a few weeks. First impression?

Everyone here is building AI to save you time at work. Faster code, faster email, an agent for everything. It's incredible. But I keep asking: save time for what? If you burn out at 40 or get sick at 50, all that productivity bought you nothing. The Bay Area is optimizing the wrong variable.

So what's the right variable?

Time itself. Healthy years. That's the only asset every human has in common, and the only one you can't buy back. Nobody has seriously pointed frontier AI at giving people more of it. That's the gap.

Longevity is crowded. Bryan Johnson, Altos, a hundred supplement brands. Why you?

Most of longevity is built for 50-year-old billionaires. Blood panels every quarter, $2 million a year. I'm interested in the opposite end: people aged 18 to 30. That's when your habits form, when your brain is still wiring, when one bad pattern costs you decades. Prevention at 20 is worth more than treatment at 60, and almost nobody is building for that window.

What does that product actually look like?

An AI that models you specifically: your sleep, your stress, your substances, your family history. It tells you, in plain language, where you're quietly losing years, and what to change first. Not a dashboard you ignore. Something that intervenes before the harm happens.

You've done a version of this before.

At a smaller scale, yes. I spent five years teaching teenagers what drugs actually do to the brain. The lesson that changed everything: information doesn't change behavior. Personal delivery does. So I built an AI that learned from my own talks and trained other people to teach like me. That's the insight I'm taking into longevity: the AI has to feel like it knows you.

Who funds something like that?

Early-stage AI funds that believe health is AI's biggest market, and longevity investors who realize the next wave isn't another supplement. I've sat on the investor side of the table, so I know what they need to see: a founder who's lived the problem, a real wedge, and proof people actually use it. That's what I'm building toward.

Why Stanford?

It's the only place where the people building frontier models, the people running longevity research, and the people who fund both are within a ten-minute bike ride of each other. I want to be in those rooms, and I want the cofounder I haven't met yet.

Last one. Ten years from now?

I want people to measure a company's success by how many healthy years it gave back to the world. I'd like mine to be first on that list.