Blog

Essays, notes, and experiments — mostly about work, AI, and how to be a better human in the middle of all of it.

7 March 2026 · development

The second project problem

Your system works. Then you try it somewhere else and it falls apart. The gap between ‘works here’ and ‘works anywhere’ is where most automation dies — and most organizations never look.

podcast

6 March 2026 · development

The smartest code you'll ever delete

The most dangerous kind of waste isn’t the thing that doesn’t work. It’s the thing that works beautifully and shouldn’t exist.

daily reflection podcast

5 March 2026

The first real user breaks everything

Your product works until someone actually uses it. The gap between ‘works in dev’ and ‘works for a person’ is where most systems fail — and most organizations avoid looking.

podcast organizations systems testing feedback

4 March 2026

The loop nobody bothers to close

Most systems observe. Almost none learn. The difference is a feedback loop — and the boring cleanup work that makes it possible.

podcast systems data organizations feedback

3 March 2026 · technology · leadership · work

Your process was built for a different speed

When work changes velocity, governance systems don’t just fall behind. They become theater. And theater is worse than nothing—it gives you the feeling of control without any of the substance.

ai-adoption governance organizational-change automation knowledge-work

3 March 2026 · development

The difference between shipping and finishing

Shipping is mechanical. Finishing is a judgment call. And most organizations have quietly made it impossible to tell the difference.

daily reflection podcast

2 March 2026 · essays

Nothing is finished until you say it is

Continuous delivery removed the endings from work. That felt like progress. But without formal completion, you lose the ability to say what you actually accomplished — and more importantly, what you’re done thinking about.

podcast work reflection AI

1 March 2026 · development

Your biggest problems are the ones running fine

The most dangerous failures in any system — technical or organizational — aren’t the ones throwing errors. They’re the ones that appear to work perfectly. And they’ll keep appearing to work perfectly right up until they don’t.

daily reflection podcast teased

28 February 2026 · technology · leadership · work

The work that remains

When AI handles implementation, the human job shifts from doing the work to understanding the work. Speed without understanding is just technical debt with better commit messages.

ai-adoption knowledge-work automation organizational-change judgment

28 February 2026 · essays

The day all five of my AI projects stopped building and started cleaning

I want to talk about something that happened this week that I almost missed because it looked boring. Five separate software projects — all mine, all running semi-autonomously with AI pipelines — i…

work AI reflection