How to check an AI summary before relying on it
A shorter document is not automatically an accurate one. Check omissions, decisions and numbers against the source.
An AI summary can look convincing because it is tidy. Headings are consistent, the language is confident and the long document has become a manageable page. None of those things proves that it has kept the important details.
OpenAI itself advises checking important information and warns that generated answers can contain incorrect facts or fabricated references. Treat a summary as a reading aid with a review step, especially when somebody will use it to make a decision. Read OpenAI’s explanation of accuracy limitations.
Ask for a summary you can trace
Instead of asking only for ‘the key points’, specify the sections you need: confirmed facts, decisions, open questions and actions. Ask for a page or section reference beside each important point. Then check those references yourself; a reference written by the tool is not proof.
If the source contains scanned pages, tables or handwritten notes, first check that the relevant information has been read correctly. A missing line at this stage cannot be recovered by making the final summary sound more polished.
Check the details most likely to change the meaning
- Numbers: compare totals, units, dates and percentages with the source.
- Decisions: distinguish an agreed decision from a suggestion or discussion point.
- Ownership: confirm who actually accepted each action.
- Conditions: retain exceptions, dependencies and qualifications.
- Missing information: keep unanswered questions visible.
Look for what disappeared
Suppose fictional meeting notes say a project can proceed only after a supplier confirms compatibility. A summary that says ‘project approved’ has lost the condition that matters most. Ask the reviewer to identify the caveats before checking spelling or layout.
For a recurring report, keep the source available beside the draft. Avoid circulating a summary that leaves the next reader unable to check where a claim came from.
Make review part of the job
Decide who checks the output and what needs a second pair of eyes. Record recurring mistakes so the brief or process can be improved. If checking takes longer than preparing the document yourself, narrow the task or use a different approach.
Practical AI training from hostme.ie includes the review habits that turn a promising demonstration into useful everyday work.
