To summarize a document with AI, define the purpose, extract source-backed points, and then write the shorter version. That order gives you a way to check what was preserved and what disappeared.
This workflow applies to text you can supply to an AI assistant. File support, upload limits, and interface controls vary by product, so the examples don’t depend on a particular subscription or button. For help describing the task, start with our AI prompting guide.
Decide what the summary needs to do
A reading preview and an action list are different outputs. Before asking for either, finish the sentence: “I’ll use this summary to…”
| Purpose | Information to preserve |
|---|---|
| Decide whether to read a report | Main subject, conclusion, and limitations |
| Follow up after a meeting | Decisions, owners, deadlines, and unresolved questions |
| Prepare research notes | Claims, evidence, and source locations |
| Compare document versions | Changes and the passages they affect |
A shorter answer is useful only if it still serves that purpose.
Work through a small example first
Here are invented notes from a neighborhood garden meeting:
Section A: The group approved a two-week trial of Saturday opening hours, 9 a.m. to noon. A permanent schedule will be discussed after the trial.
Section B: A member proposed buying four new benches. No purchase was approved. The group will borrow two benches for the trial.
Section C: Morgan will prepare the volunteer rota by Friday. The procedure for admitting visitors has not yet been agreed.
“The garden will open permanently on Saturdays and buy four benches” would be a misleading summary. It changes a trial into a commitment and a proposal into an approved purchase.
Step 1: Make sure the source is available and readable
Keep the original document. Check that the text includes its ending, tables, footnotes, and relevant captions. A scanned file may need text recognition or a tool that can inspect page images; verify the extraction rather than assuming every page was understood.
Use existing page numbers or add section labels. If pasted text has no page numbers, request paragraph references instead of invented page citations.
Google’s long-context documentation discusses working with extended inputs. The practical capacity depends on your actual model and product; a single page limit doesn’t describe every document or tool.
Step 2: Extract evidence before compressing it
Try this prompt with the practice notes:
Use only the meeting notes below. First make an evidence table with columns for item, status, owner, deadline or condition, and source section. Distinguish approved decisions, proposals, and unresolved questions. Write “not stated” for missing information. Then produce an 80-word summary. Preserve the trial period and any proposals that were not approved. Notes: [paste notes].
A manual review should find at least these distinctions:
- Saturday opening is a two-week trial, not a permanent schedule.
- Four benches were proposed; borrowing two was agreed.
- Morgan has a Friday deadline for the rota.
- Visitor admission remains unresolved.
These are checking points derived from the invented notes, not a claim about any model’s measured accuracy.
Step 3: Handle long documents by their structure
For a lengthy report, identify the sections and extract each one using the same fields. Retain the source labels when combining the results. Ask for conflicts between sections to be reported rather than silently reconciled.
If a later appendix changes an earlier tentative date, the difference matters. A summary should explain it using the available version information.
Don’t split so aggressively that a rule loses its exception. Keep related paragraphs together. Anthropic’s long-context prompting guidance discusses organizing documents and source metadata. Sectioning remains a workflow to evaluate, rather than a guarantee that nothing will be missed.
Step 4: Check the details that affect decisions
Review quantities and units, especially words such as “maximum,” “per session,” and “in total.” Check conditions and uncertainty: “may,” “subject to approval,” and “during the trial” should not vanish.
Then review status and responsibility. A suggestion isn’t a decision. An action item needs an owner and deadline only if the source actually supplies them.
A useful follow-up is: “List important source details omitted from the summary, particularly exceptions and unresolved questions.” Check the answer against the original. If it introduces unsupported claims, use the process in our AI hallucination guide.
What if the summary is too long, too short, or incomplete?
For excess length, narrow the purpose before cutting words. For an overcompressed summary, name the fields that must survive. For an omission, identify the source passage and request a correction without adding outside assumptions.
Store the summary beside the original and record the source version. A useful summary helps you locate the important parts of a document quickly; it should leave a clear route back to the evidence.