Compounding

Orient, Choose, Specify, Produce, Verify, Ship and measure, Capture and recalibrate. Most AI workflows stop at Produce, and the learning happens after Ship.

You do not need a company of AI agents. The smallest governed workflow is one recurring correction turned into a rule that can fail, a checkpoint that can hold a draft, and a retirement condition.

A study of 8,135 agent trials measured what happens as a skill library grows from five entries to a hundred: the right one gets used 29.6% of the time, then 3.3%.

An AI that learns from your corrections keeps a correction ledger: every fix written as a scoped rule, with the check that tells you when a draft has broken it.

Run a 90-day measurement on the workflow you use most and find out which shape it draws. A protocol, a column of numbers, and an honest account of what nobody has measured yet.

The AI most people bought gets a little worse every month — and quietly makes its owner less necessary. Here's how to build the kind that gets sharper every week instead.

Static AI content is the same on day one as on day ninety. A built workflow starts underwhelming. Which shape you own is a question you can answer with a date and a test.

Four moves turn a workflow that resets into one that accumulates: measure, own, improve, control. The loop, what each move does, and what it does not promise.

AI that learns from your corrections turns each fix into a permanent standard. Corrections should compound into leverage, not repeat as a daily cost.