A recommendation becomes risky when it can be mistaken for work that someone has already approved or accepted.

Keep the work states separate

The important chain is simple: suggested, reviewed, approved, assigned or actionable. These are different states, even when the words appear close together in a task list.

A recommendation should never become work for someone merely because it was written clearly or generated by a system that appears confident.

Where AI fits

AI can create the suggested state and help prepare the review state by separating evidence, uncertainty, and the next human decision.

The human decision

People review, approve, assign, or reject work. AI must not silently jump an item from suggestion into an actionable state.

The lesson

A suggestion is not an assignment. The handoff between those states needs a visible human decision.

The Build Log companion shows how a constrained suggestion state protected a downstream queue from being flooded with unvetted work.