Crafting AI products the future can't outgrow

I've been building AI products since before it was cool. A decade of turning emerging capabilities into products that change how people live and work — not by chasing what's possible, but by obsessing over what's needed.

I've led 0-to-1-to-scale AI products inside some of the world's most-used consumer platforms — setting the vision, designing the system architecture, embedding responsible AI as a competitive edge, and shipping experiences that reached hundreds of millions of people.

I operate where model capabilities, product design, and business model converge. That's where the most consequential decisions are made — and where the most interesting products are born.

Start with the human, not the hype. AI can do remarkable things — but the question is never "what can we build?" It's "what does someone actually need, and is AI genuinely the best way to meet that need?"

Clarity is the job. An LLM can generate a spec in seconds. What it can't do is own the consequences. The PM's edge is no longer documentation — it's direction. Crisp framing, the right constraints, and the narrative that gets a team moving together.

Warmth is a competitive advantage. The teams that sustain intensity for a year — not just a sprint — are the ones with real trust, real candor, and leaders who hold the emotional center during change.