My AI agents could finish any task I handed them. Not one of them could tell me the task was a waste of a month.

That gap was never about model quality. It was about which layer I aimed them at. I had handed over execution: write the draft, run the sync, ship the change. Steering, deciding what is worth doing and in what order before the field moves underneath me, I kept for myself. My own judgment is the part that ages fastest.

I run a lot of projects at once, in a field that reprices itself every few weeks. My task system was a task manager with semantic search bolted on. It could find any task in a second. It could not tell me that one project had been blocked for a week on a decision I never made in another.

Keep reading