The Improvement Manager
Failures become fixes, so your agents get better over time instead of drifting.
What it does
The Improvement Manager takes every miss and turns it into something the system keeps. A rejected output becomes a rule, a test case, a correction to the company brain, or a change to how a task is routed.
It groups failures instead of treating each one as a one-off. When the same kind of mistake shows up across many runs, that pattern gets a fix at the source rather than a patch on one prompt.
New rules ship with a test. Before a change goes live, it runs against the past cases the system already handles correctly, so a fix for one problem does not quietly break something else.
You get a regular readout. What failed, what changed, what the scores did after. That is how you know the system is compounding, and it gives your team a place to weigh in on the standards.
What breaks without it
Without it, agents drift. The same mistakes repeat because nothing captures them. Someone corrects an output in the moment, the correction lives in a chat thread, and the agent does it again next week.
Fixes also become risky. Somebody edits a prompt to solve today's complaint and breaks two behaviors that were working. With no test suite, nobody notices until a customer does.
The result is a system that starts strong and degrades. Confidence drops, people route around it, and the agents end up as an expensive tool nobody uses.
Where it shows up in your operation
- A rejected customer reply becomes a rule about what the system is never allowed to promise, applied to every reply after that.
- A repeated extraction error on one document type becomes a validation step and a test case, so the same field stops slipping through.
- A policy change is corrected once in the company brain, and the old answer stops appearing across every agent that used it.
How it connects
The Improvement Manager runs on what the AI Judge rejects and on the routing logs from the AI Manager. Fixes land in two places. Knowledge corrections go into the Company Brain, and behavior corrections go into the agents themselves, so your Agent Teams improve on real work instead of standing still.