Notes from both sides of the AI table
I buy enterprise AI in one job and build clinical AI in the other. These are the three questions I keep circling.
AI with a human still in the loop. What actually changes when a wrong answer has a cost that isn’t measured in conversion rate.
Making expertise travel. Why procedural knowledge stays trapped where the expert is standing, and what it takes to move it.
Technology in public service. What product discipline looks like applied to institutions that were never designed around it.
First pieces publish in the coming weeks. Each will carry a publication date, and the cornerstone essays will show when they were last revised.