Build an AI Workflow with Review Points

Worked example and checks

Break a repeated task into inputs, proposed changes, and checks you can perform yourself.

Choose a bounded task

Start with something like turning a fictional project note into a checklist. Identify the source text, the required output, and the facts that must stay unchanged. Do not begin by connecting multiple tools or asking for an open-ended autonomous workflow.

Write an observable success condition

For the checklist example, require each task to retain its owner and date. Missing values should be marked unspecified. Keep instructions separate from source text. Ask the assistant to list uncertainties so you can decide what needs a follow-up.

Review before moving to another tool

Compare the result with the original note. Check whether any task, deadline, or person was invented. Correct errors before copying the output into a tracker. If a workflow can edit files or communicate externally, add a review point before those actions. Faster generation does not remove the need to inspect consequential changes.

Measure a useful outcome

Record the time spent preparing, reviewing, and correcting the result, rather than only the time spent waiting for a response. Repeat the same sample after adjusting the prompt. This tells you whether the workflow helps your task. Model names, plan access, and app commands change, so verify features in the product you actually use.

Reference and corrections

Official documentation for this topic. Check the version and platform covered by the source. Guidance revised 22 October 2026.

Report an incorrect instruction through our contact page. Include the app, operating system, command, and observed result.