Field Notes

Observations from inside the machine.

Short essays on enterprise AI, forward deployed product work, customer reality, systems thinking, and the conditions that make execution either easier or unnecessarily painful.

Identity & Transformation
July 3, 2026

Transforming the Identity License

Every technology transformation plan accounts for data, systems, and timelines. Almost none of them account for the people who have to let go of who they were t...

AI & Work
June 23, 2026

The Generalist Was Right All Along

The bottleneck in most rooms full of experts isn't expertise. It's translation. And AI is making that more true, not less.

AI & Leadership
June 19, 2026

Ambiguity Rewards the Curious

Santiago kept walking not because he knew where he was going, but because stopping would have meant never knowing. That's the only strategy that works.

AI & Work
June 12, 2026

Stop Prompting Your AI, Start Project Managing It

The biggest mistake people make with AI isn't misunderstanding the technology. It's misunderstanding their role in relation to it.

Identity & Work
June 5, 2026

Grieving Your Past Selves

Who are you without the job? It's a question most of us avoid until we can't anymore. AI is making it harder to avoid.

Leadership & AI
June 1, 2026

Read the Room

We expect others to respond to information they don't have. Turns out, so does AI. The problem is older than both of us.

Identity & Work
May 28, 2026

You Are Not Your CMS

The Luddites weren't wrong. They were just living through the part of the story where the ending wasn't visible yet. So are we.

AI & Human Work
May 26, 2026

Let the AI Plan the Party

The most interesting question about AI isn't what it can do. It's what it gives us back.

Enterprise AI
May 11, 2026

Even the Future Has a Backlog

The blockers are never where you expect them. I've known this for years. I just didn't expect my first week at a new job to prove it quite so efficiently.

Enterprise AI

Most Enterprise AI Problems Aren’t AI Problems

The biggest blockers to enterprise AI adoption usually aren’t model quality or infrastructure. They’re alignment, trust, workflow design, and organizational ambiguity.