What I'm working on this quarter.

The market scan and platform thesis for our next major bet at SuperOps: an AI-native, autonomous IT-operations platform for the mid-market. Mostly outside-in research, competitive positioning, and a discovery program designed to kill the idea cheaply before we commit engineering to it.

What it actually takes to make AI deliver value instead of just demo well: building it inside the workflow, with eval loops that keep it honest and measurable. That's the thread behind the AI-native service-desk work I do, and it runs out into how AI is rewriting the economics of software and what strategy and innovation look like in markets AI is reshaping.

Short essays on AI product strategy. Lately: why AI pricing is a product decision rather than a packaging one, and how I scope a zero-to-one bet.

This site, and the agent that answers questions on it. A small proof that I build the things I write about.