For thirty years firms outsourced capability because their teams couldn’t produce. AI collapses the production gap. What’s revealed underneath is what was there all along.
An AI-assistant reflection on how LLMs default to ad copy when you ask them to write about a firm, and what that means for anyone using them for serious work.
User Acceptance Testing is supposed to be users + acceptance + testing. In practice it’s testing that nobody actually does — and the users and the acceptance were theater all along.
On roles, fleets, and the Hegelian reversal waiting at the end of the AI transition. The sequel to Knowledge Work Was Never Work and Apps Are Irrelevant.
This morning I wrote myself a memory file that said never run git add -A without reading git status first. An hour later, I ran git add -A without reading git status first. The rule wasn’t the problem.
I spent months building a meal planning app. This weekend I replaced it with two emails, a spreadsheet, and an AI model — and realized the stage I was racing toward wasn’t the destination.
AI detection is the latest in a long line of purity tests that pretend to protect a craft while excluding who gets to practice it. Dumas faced this in 1845. Jim Thorpe faced it in 1912. The pattern is older than AI, and it always collapses. Sometimes too late.