Using AI tools at work: which review steps keep the output useful?

An AI-assisted workflow needs a clear task and a way to judge the result. This discussion is for practical review habits, whether the output is code, a draft document, a spreadsheet formula or an outline for further research. Avoid sharing confidential work or personal data. Start by writing what success looks like before using a tool. Give only the context you are authorised to share. Break a large request into outputs you can inspect, then verify factual claims against appropriate sources and test executable work in a suitable environment. Keep a human responsible for decisions that affect other people. When comparing approaches, describe the task and evaluation method rather than assuming one impressive example proves a tool is best. Note where you corrected the output and where you could not verify it. Which review step has made your workflow more dependable? Share a non-confidential example, the checks you used and the kind of error those checks were meant to catch.