I design sovereign, local-first AI systems — and help public institutions and individuals adopt them responsibly, where governance, integration, and making powerful tools legible are what actually decide success.
Responsible-use frameworks, policy, and human-in-the-loop controls for organizations putting AI to work — with public-sector realities (records, accessibility, procurement, public trust) built in from the start.
Private, on-prem AI you own end to end: local models, retrieval over your own knowledge, and a zero-trust architecture — capability without your data ever leaving your control.
Turning messy institutional workflows into working systems — low-code integration and portfolio/project management at city-government scale, including large capital-program portfolios.
A background in the arts, teaching, and libraries — I make complex AI legible and usable for the people who actually have to live with it, not just the ones who build it.
My flagship — a personal AI operating system for discovering the vast, undiscovered country of your own latent knowledge and latent capability, and a practice for helping ambitious people build their own. Sovereign by design: your second brain, your models, your data, on your hardware.
If you want to build your own — a private second brain, a panel-of-experts model setup, a personal AI assistant that is genuinely yours — that is what I help with.
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