TokenMonster Insights
Design the review step
Human review needs an interface and a decision, not just a checkbox.
When a person must review an AI result, show what they need to make the decision. Highlight the proposed action, supporting evidence and unresolved questions.
A reviewer should be able to correct, reject or return the work without losing the original context. Record the decision and keep it separate from the model's confidence. Avoid suggesting that a person approved something merely because they opened a page.
Observe a realistic review session. If checking the output requires more effort than doing the original work, revisit the scope, evidence presentation or automation boundary.
Make the next idea work.
Explore more practical notes from the TokenMonster team.
Back to all insights