I build AI tools
that make humans sharper.

Twenty years. Ten organizations co-founded — across for-profit companies, mission-driven non-profits, and industry consortia. One question still drives the work: where does AI actually belong in human operations — and how do we deploy it without hollowing people out?

I started in green building — co-founding Recollective, a values-driven consultancy that worked on 500+ green buildings in North America and was twice certified B-Corp in the global top 10%. From there: a coworking hub for change-makers (The HiVE), software for the built environment (OPEN Technologies), audio storytelling for green architecture (GBAT), and a design-driven creative collective that spread to seven other cities (Design Nerds).

The throughline shifted toward health and AI in 2018, when I co-founded Quantified Citizen — a mobile health-research platform applying AI, automation, and participatory science to behavioural studies. It produced one of the largest naturalistic datasets on psychedelic use globally and led to peer-reviewed papers in Nature's Scientific Reports and Psychopharmacology.

Today I run NodeBook, my AI & automation consulting practice. I work with organizations deploying AI in the real world: voice agents for healthcare contact centers, knowledge graphs and conversational interfaces, agentic workflows, and the messier strategy work of figuring out where AI actually belongs in an operation — and where it doesn't. Clients range from public-health institutions to small businesses in my own community.

Underneath the client work, NodeBook is also the home of a long-term R&D thread: a temporal multimodal knowledge graph platform for personal and collective cognition. How do we extend human thinking with AI in ways that make us sharper rather than more dependent?