AI-native design tools for physical products. Coming soon.

Design tools shouldn’t automate current product invention and design practices to replace designers and PMs – they should enable entirely new practices that create more variety, a better fit to people’s needs, and less waste.

Sketching in Hardware is a global community focused on inventing tools that lower the barriers to building digital electronics. My goal is to let anyone create a digital electronic product as easily as they sketch on paper. Sketching in Hardware is both an annual invitation-only international summit and an active online community of diverse practitioners. It counts among its 850 members senior Apple, Intel, and Microsoft technology leaders, MIT, Berkeley, Stanford, and Cornell faculty, the inventors of the Arduino and BBC/Microsoft micro:bit, artists, educators, designers, and serial entrepreneurs.

• As a community focused on the experience of electronic hardware prototyping tools, and how to make that experience more accessible, Sketching was likely the first event of its kind.

• It directly influences the cutting edge of a rapidly changing digital electronics world by bringing together a diverse interdisciplinary group of professionals. Recently it has increasingly emphasized the impact of AI development at the edge.

• I created a vertically integrated event organization. I hired a team to manage the logistics, I invite participants, identify locations for the event, guide the online community, develop every annual theme, create relationships, and present my own work.

• Many attendees return year after year, regardless of whether we hold the event in the the middle of LAX, the Arizona desert, an 18th century dining hall in London, or a Masonic temple basement in Detroit.

• The community is a professional ecosystem that fosters many successful collaborations. It inspired digital products, accelerated interoperability, and directly influenced everything from urban policy to children’s toys.

• Sketching counts Apple, Microsoft, Intel, Arduino, SparkFun, and Seeed Studio among its recurring annual sponsors, received multiple National Science Foundation grants, and was the recipient of a significant grant from the Knight Foundation

Paper Moon AI provides services and tools for AI risk identification, measurement, and mitigation. I lead product strategy.

I’m completing the Third Edition of Observing the User Experience, the user experience research textbook I wrote with Elizabeth Goodman (pre-order now! ISBN 9780128155691). We’re updating it to include the challenges of UXR in the age of AI, emphasizing the opportunities and tools AI provides in helping entrepreneurs, product designers, and managers understand how people respond to technology. It will be out in 2025 on Elsevier. As part of my research for the book, I’m interviewing practitioners across AI, UX, and design. If you’re interested in talking, please reach out!

I lead product strategy for AILuminate, MLCommons’ industry-leading benchmark that measures the likelihood an AI language model will produce unreliable or dangerous output. AILuminate is a rigorous, industry-leading, open source tool, built with a consortium that combines industry and academic expertise. Our shared goal is to drive safer, faster innovation making by AILuminate the industry standard.

I drive go-to-market strategy and enterprise relationships for AILuminate. I also work closely with experts from Google DeepMind, Meta, Amazon AWS, Oxford University, QUALCOMM, NVIDIA, TU Eindhoven, and many others on multimodal and agentic benchmarks, and to define what a benchmark can mean in a technological landscape that changes daily.