The feedback loop: how AI gets better in the real world

Capture corrections at the moment of work: edits, approvals, rejections, and the ‘why’.

Some issues are UX, policy, or data — not the model. Mixing them masks the real problem.

Show users what changed because of them. Adoption compounds when people see the system listening.

Quality is workflow-specific. Write down the definition and instrument it before you optimize.