Learn turns what Watch measures into the next change: a better model, a clearer instruction, a new rule or a better split of work between people and agents. Each one is simulated first and approved by a person.
Every change says what it is, the evidence behind it and who approved it.
Learn looks for the change most likely to save time or cut mistakes, then proves its case in Simulate before anyone is asked.
Move a step from a person to an agent, or back, as the evidence says.
Switch to a better or cheaper model when one wins on your work.
Rewrite the steps an agent follows where Watch finds it going wrong.
Tighten or relax limits and approvals based on what really happens.
Connect the system or record an agent was missing.
When enough graded work builds up, train a model on your Context.
Every change is simulated first, and a person approves it.
Each week builds on the last, and everything learned stays in your Context.
Thirty minutes with Jack or Bill, our founders, on the workflow you would run first.