Most teams don't decide how much autonomy to give their AI agent. It just happens — by default, by accident, by whoever wrote the prompt.

Then three weeks later you're in an incident review asking "wait, why did it do that?"

In this week's episode of Product Mastery in the Age of AI and ChatGPT, I break down what I call the Autonomy Dial — the spectrum between "agent suggests, human approves" and "agent acts with zero human touchpoint," and the three variables that should actually decide where any given decision sits on it:

→ Reversibility — can you undo it, and at what cost?

→ Blast radius — who and what does it touch when it's wrong?

→ Verifiability — can someone cheaply check it, before or after?

One line from the episode I keep coming back to: reversibility, not accuracy, is your p ...