Notes on building AI teams that ship, and running them responsibly.

What to stand up first when you're handed a mandate for enterprise AI — before you write a line of a strategy deck.

The gap between a working demo and a system your org will actually trust in production, and how to close it.

A practical review pattern for agent-based systems in a regulated environment — evaluation, logging, and human checkpoints that don't kill velocity.

Treating retrieval as a shared platform capability instead of re-building it inside every team's project.

Why I weight hands-on engineering signal over slide-deck fluency when staffing a center of excellence.

Lessons from eight years of algorithms work before I ever touched a product roadmap.