Meeting notes often contain a mixture of decisions, possibilities and unfinished thoughts. An AI assistant can help organise that material, but a tidy action list can accidentally make an uncertain discussion look settled. The review job is to preserve what people actually agreed, including the places where nobody accepted responsibility.
Separate three kinds of statement Use three labels: decision, action and open question. A decision records an agreed choice. An action records work someone agreed to do. An open question records something that still needs an answer. A suggestion may lead to any of these later, but it is not automatically one of them now.
In a fictional planning call, Maya says she will send the revised outline by Thursday. Jordan suggests testing a shorter signup form. The group agrees to keep the existing event date, but nobody chooses who will test the form. Those statements should not all become assigned tasks.
Prepare the extraction request Ask for an action table with the task, owner, deadline and supporting note. State that unknown owners and deadlines must remain unassigned. Request separate sections for decisions and open questions. Include the actual meeting date if phrases such as “Thursday” need to be interpreted, and avoid converting them if the date is uncertain.
Keep the source notes with the request. If you provide a transcript, review obvious name and number errors first. An extraction tool cannot reliably preserve a deadline that was transcribed incorrectly in the input.
Inspect the assignments first In the example, Maya’s outline belongs in the action table. The shorter form belongs under an open question or proposed experiment until someone accepts it. The event date belongs in decisions. If the result assigns the form test to Jordan merely because Jordan mentioned it, correct the output and record that failure.
Look for softened or strengthened verbs. “Could investigate” and “will deliver” describe different commitments. A summary should not convert one into the other to make the table look complete.
Keep evidence close to the row A short source excerpt or timestamp helps the reviewer check an action without replaying the entire meeting. It also helps when someone asks why they appear as an owner. Do not publish a private transcript passage unnecessarily; keep detailed evidence in the appropriate internal record.
For a shared recap, write the agreed actions first, followed by the decisions and unresolved questions. Use the same labels each time so readers learn where to look. A long narrative introduction usually adds less value than an accurately assigned task.
Confirm before the list becomes a workflow Ask the relevant people to review assignments through your normal team process. The AI-generated table is a draft until that review happens. If your system can create tasks automatically, keep a review gate before those records reach a live board or trigger notifications.
Save the corrected table with the source and extraction prompt. Over several meetings, note recurring errors such as guessed owners, missing qualifications or relative dates interpreted incorrectly. Improve the brief around those observed problems. The useful outcome is a record the team can act on with confidence about what was agreed, not a longer list that merely looks organised.
Keep the inputs and review notes together in the workplace prompt library workspace, then save a backup you can reopen.