ai fit

A classic AI product sense prompt. The trap is a chat box bolted onto a grid. The strong answer picks a user, runs every job through an AI-fit test, and treats a silently wrong number as the main risk.

The question behind every AI product decision: a repeatable test, applied step by step, and the willingness to say 'a rule does this better' when it does, and 'a model, with a reviewer' when it does not.

Small sellers have little time, uneven digital skills and thin margins. The strong answer finds the two jobs where AI changes their week, and avoids an assistant that sounds helpful and does nothing.

Standard prioritisation frameworks miss the thing that makes AI ideas risky: nobody knows yet whether the model can do it reliably. The strong answer prices that uncertainty in.