Designing Intelligence

The Manifesto

I started as a musician, where I learned that craft makes expression possible. That belief has shaped twenty years of product design across Mercedes-Benz R&D, Amazon, Apple, and Google.

At Google, I designed for Geo and Search and built tooling for the first Gemini launch, earning a named contribution in the Gemini 1.0 technical paper. Today, I focus on AI infrastructure and developer tools.

My work connects what AI can do with what people need and trust it to do, making complex systems clear and keeping people in control.

Selected work

Work that turns complex systems into clear products.

Product and system design across AI, platforms, and consumer experiences, from strategy through launch.

Explore the work

Guiding principles

Four principles for
AI product design

01

Probabilistic UX

Certainty is a UX convention. AI breaks it.

Design for confidence, not certainty. Show what the system knows, what it doesn't, and what happens next.

02

Human–AI Collaboration

AI should make humans more powerful, not passive.

Give people clear recommendations. Let them choose when to delegate and when to take over. Make it easy to question, correct, and undo.

03

Invisible Guardrails

Safety that interrupts gets bypassed.

Build constraints into the interaction itself. Guide people toward safe choices without breaking the flow.

04

Learn Through Making

Prototypes settle arguments.

Make ideas tangible early. Test the hard moments with real people. Refine what matters.

Living design document

The system behind
the surface.

A description of the portfolio’s structure, visual language, interaction, and conceptual approach. Available as editorial view and portable Markdown.

View DESIGN.md

Latency as interface, applied

Start with intent.

What brings you here?

Choose a starting point and I’ll draft a note for you.

A starting draft

Recruiting for a role. Here’s a note to make your own.