Check an AI Summary Against Its Source Before You Share It

An AI summary can be shorter and easier to read than the document it describes while still changing its meaning. The practical check is not whether the summary sounds reasonable. It is whether each important statement is supported by the exact source version you asked it to summarize.

Use this workflow for an ordinary report, meeting note, or project document. It checks fidelity to a supplied source. It does not establish that the original document is true or replace specialist review when the subject requires it.

Freeze the source and define the assignment

Save the document version you used, including its title and date. If you summarize a changing page, note when you accessed it. A later revision can otherwise make it difficult to tell whether the summary was wrong or the source changed.

Tell the assistant what to preserve: main findings, explicit decisions, unresolved questions, or assigned actions. Ask it to use only the supplied material and mark missing information. Specify whether you want a neutral account or recommendations; mixing the two makes an interpretation look like a source statement.

If you draft the summary using one of the models available in Chow, record which model produced it alongside the source version. The review below still requires checking the original material; a second model's answer is not a substitute for that check.

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Build a claim-to-source map

Take the summary’s consequential statements one at a time. Beside each, record the supporting page, heading, table, or paragraph. Do not rely on a generated page reference without opening that location yourself.

A simple review table needs four columns: summary claim, source location, what the source actually supports, and action. Use three action labels: keep, revise, or remove. If a claim has no identifiable support, either remove it or clearly mark it as an inference outside the summary.

For a short internal update, this can be a few handwritten lines. For a longer report, start with statements that would change someone’s decision: deadlines, quantities, commitments, comparisons, and conclusions. Then inspect the remaining narrative for misleading omissions.

Check the small words that carry big conditions

Compare words such as “may,” “must,” “proposed,” “approved,” “at least,” and “up to.” They are easy to drop during compression. Also check who a statement applies to, the period it covers, and whether it depends on an unresolved condition.

Consider this invented source sentence: “The pilot team may move the workshop to Thursday if the room booking is confirmed.” A summary saying “The workshop moves to Thursday” removes both the uncertainty and the condition. A faithful short version is “A Thursday move is possible, pending room confirmation.”

Similarly, “three participants reported delays” does not establish that everyone experienced delays. Keep counts attached to their population, and distinguish a reported opinion from a measured result. A summary should not quietly strengthen the source.

Recheck numbers without trusting their appearance

Compare every important number with the source, including its unit and time period. Twelve hours per month is not twelve hours per week. A percentage without its denominator can be misleading even when the digits are copied correctly.

If the summary performs a calculation, recompute it separately. In a fictional survey, 12 of 40 respondents equals 30 percent. That calculation says nothing about people who did not respond. Keep derived calculations distinct from numbers explicitly stated in the document.

Watch tables and footnotes in particular. Confirm that a figure belongs to the stated row and column and that a nearby note does not narrow its meaning. If the source is a scan, compare critical names and numbers with the visible page rather than relying solely on extracted text.

Finish with a reverse check

After checking what the summary includes, ask what it leaves out. Does it omit a major limitation, dissenting conclusion, unresolved dependency, or exception? A sentence can be individually accurate while the overall selection creates a misleading impression.

• Can I locate support for every consequential claim?
• Are names, dates, units, and calculations correct?
• Are uncertainty and conditions still visible?
• Are source statements separate from added interpretation?
• Would a reader miss a limitation that affects the conclusion?

Record who checked the summary and which source version they used. AI-generated text can include confident errors; treating a summary as a reviewable draft keeps those errors from becoming someone else’s assumed facts.