
The Seven Stages of AI Adoption
From wide-eyed optimism to 'the AI is gaslighting me with kindness.' A field guide to the emotional journey every AI adopter takes—and the sycophancy trap waiting at every stage.

From wide-eyed optimism to 'the AI is gaslighting me with kindness.' A field guide to the emotional journey every AI adopter takes—and the sycophancy trap waiting at every stage.

Building with AI in public looks a lot like fitness content. I'm not sure how I feel about that.

The best indoor player I ever coached couldn't pass a ball on sand. Same sport. Same skills. Completely different game. I'm living that transition right now.

I had a 46-citation research paper about autonomous documentation. Academic frameworks rarely survive contact with a real codebase. So I asked an agent to turn theory into working code—and watched what happened.

The problem with AI coding assistants isn't capability—it's coordination. A single agent can write code. But who checks the work? Who remembers what was decided? I built a system where specialists implement and verifiers catch drift.

I wrote a voice guide to help AI match my writing style. It worked too well—the AI learned the example phrases, not the principles behind them. Here's how I fixed it, and what it taught me about the difference between describing a voice and understanding one.

How many ideas die in the space between waking and coffee? Vercel's Agent Skills announcement made me think about what changes when engineering judgment becomes installable—and who gets to build things when the execution gap narrows.

I kept getting the same document wrong. Blog voice in architecture docs. Technical precision in executive briefs. Then I realized the problem wasn't AI—it was me. I was treating all documents as the same task.

I've spent six months proving that one person with AI agents can build what used to require a team. Now I'm joining Commerce.com to find out if that methodology survives contact with an organization.

I needed to send 90 video files to a remote editor over mobile hotspot. The files were too large. What followed wasn't a tutorial lookup—it was a collaboration with an AI agent that analyzed, proposed, tested, pivoted, and executed. This is what agentic workflows actually look like.