Main idea

An AI that files customer feedback in a workspace will not always choose the right boundary. It may merge two ideas because their topics look alike — two pieces of feedback about receiving — or create two where there was only one.

The workspace does not guarantee the right choice. It makes the error visible and correctable: you can reject a merge, ask for a separate idea, check the relationship created between two cards. And the correction sticks, because it is written down. Judgment stays human; the workspace gives it something to hold on to.

Why it matters

This sets the human's place in an assisted setup: neither doing everything nor delegating everything, but watching the boundaries between ideas, where an error makes a contradiction disappear.

Nuances and limits

A visible error only gets corrected if someone looks; a workspace rich in cards can make reviewing the boundaries too costly to be done.

Open questions

• What signal should flag that a recent merge deserves a second look?