In a lot of AI tools, feedback is just a thumbs up and down button. In Reporter we wanted to make sure that feedback always delivers a direct outcome for the user.

We settled on a correction mechanism where the user is able to simply edit the AI's suggestions in line, which in turn gets fed back into our harness as examples for prompting.

Only if the user completely rejects a suggestion do we ask for more explicit feedback about where the AI went wrong.