Ask what changed, and why.

What does the edit reveal that the output does not?

The edit reveals the decisions. The final output shows what someone chose to share; the difference between the AI draft and that output shows how they got there. Perhaps they removed a claim the brief did not support, added a missing qualification or rewrote a question that assumed too much about the reader.

Two people can submit the same polished email. One checked every commitment against the meeting notes; the other accepted the draft as it came. Only the edit tells you which is which, and only the first habit is safe to rely on.

What should you ask the author to share?

Ask for five things. Together they take a few minutes to gather and make the review inspectable by someone who was not there.

What does a reviewed edit look like?

A fictional account manager at Brightwater Analytics has three meeting notes: the client wants a pilot in March, needs pricing for 15 seats and has asked whether data can stay in the UK. The account manager prompts: "Write a follow-up email confirming next steps from these notes."

The first draft is confident. It confirms a March pilot, quotes a discount for 15 seats, promises that all data will be hosted in the UK and suggests a call next Tuesday. Only the pilot month and the seat count are in the notes.

The final version confirms the March pilot and the seat count, says pricing will follow from the commercial team, says the data location question has been passed to the person who can answer it and proposes two possible call times. The review note reads: "Removed the discount and the UK hosting promise because neither is in the notes or approved. Data location is still open." That note is what a manager should discuss, not the final wording.

Which questions make the review useful?

Keep the questions about evidence and suitability. These five cover most practice tasks.

What are the warning signs in a review?

Be cautious when the final version is identical to the first draft on a task with a known trap, when the edits are only cosmetic, or when the author cannot point to the source for a key claim. A review note that says "made it better" without naming a change is another sign that the judgement step was skipped.

None of these is a reason for criticism in a practice setting. They are a reason to repeat the task with a clearer source and to model the review yourself the first time.

How can a manager make this manageable?

Use one bounded task and a small set of criteria. Review one edit per person every week or two rather than auditing everything, and keep the conversation short and specific.

This is a proposed review habit, not a proven intervention or a claim about productivity. Start with fictional or approved low-risk material, and use your normal approval process before applying the approach to consequential work. Tosheo.ai's planned practice scenarios ask for the same kind of review note, scored against a visible rubric, but the habit works without any product.

When is a full edit review overkill?

A full review is unnecessary for low-stakes internal text, such as a meeting reminder or a rough set of brainstorm notes. Save the five-part review for practice tasks and for work that reaches a customer, a candidate or a decision-maker, where an unsupported claim actually matters.

Once a person's review notes are consistently specific, you can step back to spot checks. The aim is a habit they keep without you, not a permanent approval step for every AI-assisted draft.