Now

Current Focus

I'm working on Flocksynthetics, building reliable AI systems for consequential work. The focus is the hard part between a compelling demo and a system people can trust in practice.

The challenge is not making AI look impressive. It is making AI dependable when the work is complex, the context is incomplete, and the consequences are real.

Advising and Consulting

I advise founders and leadership teams on AI strategy, product direction, operating models, and reliability.

The work ranges from helping solo founders turn an early idea into something real to helping companies with billions in annual revenue make AI useful at scale. Different scale, same underlying question: what will create real value and hold up in practice?

What I'm Learning

Building trust with AI — Not through marketing claims, but through architecture, operating discipline, and clear decision rights.

The gap between demos and systems — Demos impress; systems endure. The difficult work starts after the prototype succeeds.

Where AI creates real value — The technology matters. So do incentives, workflows, organizational context, and the judgment to know where automation helps or hurts.

What I'm Writing About

Lessons from this work—what I'm learning about reliability, decision systems, and building software that endures. Practical insights, not theories.