Gains:
- Ability to turn long documents and developments into purposeful, on-page executive summaries and editor briefings
- Ability to monitor additions (hallucinations), omissions (missing the main finding) and loss of context in the summary and acquire the habit of verifying critical information from the original.
- Ability to understand how to keep the facts constant and recheck the title and issue in each format when repackaging a news story into different formats and platforms.
A modern newsroom doesn't just produce news; constantly grinds out information. A reporter has to understand a 200-page audit report in the morning, a one-hour statement from a minister at noon, and dozens of news stories from rival publications throughout the day in the evening. Summarizing — condensing a long text while retaining its main information — and preparing a briefing are the most repetitive tasks of the day. Artificial intelligence (AI) is a powerful accelerator here: scanning a long document in minutes and extracting key headlines, drafting an executive summary of a report, arranging the day's developments on a timeline, repackaging a news story for different platforms. But summarizing has a pitfall: a summary is as dangerous as what it omits and what it adds. AI can summarize a sentence incorrectly, drop context, or even make up a “main finding” that does not exist. Rule: The AI brief is a directional map; Every critical information is not included in the briefing or news without being verified from its place in the original document.
Step by step: producing reliable summaries
Step 1 — Determine the purpose. “Summary for what?” The question decides everything: 5-point briefing for the editor, executive summary for the reader, quick scan for yourself? Purpose defines length and focus.
Step 2 — Prepare the document and confidentiality. Clean up any traces that give away the source in the sensitive document (Unit 1, 10). Decide whether to submit the entire document or only relevant parts of it.
Step 3 — Request source-based summary. Ask the AI to mark which section/page in the document each summary item refers to. This reduces verification to seconds.
Step 4 — Add and skip check. As you read the summary, ask two questions: "Is anything added that isn't in the document?" (hallucination) and "Has any important information been lost?" (jump). Both happen frequently.
Step 5 — Verify critical items from the original. Every number, name and provision that will be included in the briefing or news is confirmed from the document itself.
Step 6 — Maintain context. The summary should not take a sentence out of context and make it misleading. If a sentence such as "that person was found guilty" is missing the context of "in the first instance court, appeal is open", the summary will be misleading.
Attention: The summary misleads most by "losing context". AI can convey a sentence technically correctly but without context; This does as much harm as misinformation. Omitting conditions (term, time, source) surrounding critical provisions from the summary.
Repackaging: same information, different format
It is a distribution requirement to reformat a story as a web, newsletter, social media card, audio news and newsletter entry. AI accelerates this transformation; But with each new format, the title, first sentence, and numbers are rechecked because compression always increases the risk of errors.
three mini cases
Case 1 — Falling context. A reporter received a summary of a court decision from AI. The summary stated "the defendant was acquitted"; However, the decision was "due to lack of evidence, the possibility of appeal is open" and another lawsuit was ongoing. The reporter went back to the original, added context. If the raw summary was published, a misleading perception of "acquittal" would be created.
Case 2 — Time savings, audit report. It would take ~3 hours to read a 180-page report and produce an 8-item briefing. AI delivered a first draft of a synopsis linked to the page in 10 minutes; The reporter went to the pages in the document and verified 8 critical items. Total time went down to ~50 minutes; In two items, it was caught that the AI summarized the number incorrectly and was corrected.
Case 3 — Missed main finding. An economic reporter noticed that the AI summary made no mention of the report's main striking finding: misuse of a fund; AI focused on secondary details. The reporter scanned the document and found the real finding. If only the summary had been relied upon, the crux of the news would have been missed.
Copiable templates
1) Executive summary linked to the page:
Create an executive summary of maximum 8 items from the document below. Next to each item, write the page/section on which it is based, like [p.14]. Do not add any information that is not in the document. Mark where you are not sure as [not clear in the document]. Document: [here]
2) Editor briefing (5 points + why it matters):
I will report this development to the editor. Write a 5-point briefing: each bullet point one sentence fact + one sentence "why it's newsworthy". Do not exaggerate, do not add comments; only facts to be verified and justification for the news. Source: [here]
3) Skip/insert control:
I will give you an original text and its summary. Remove: (1) information that is in the summary but is NOT in the original (addition), (2) information that is important in the original but is LEFT in the summary (omission), (3) sentences whose context has changed. Original: [A] Summary: [B]
4) Multi-format repackaging:
Adapt the following verified news into three formats: (1) 280-character social media introduction, (2) 3-sentence newsletter introduction, (3) 5-item web summary. Changing the facts, exaggerating; Keep numbers and names intact in all formats. News: [here]
Weak prompt / Strong prompt
Weak prompt: "Summarize this report."
Result: AI picks what's important, drops context, sometimes adds findings that don't exist; It is unclear which page it is based on.
Strong prompt: "Make a summary of maximum 8 items from this report; add the page [p.#] on which it is based for each item, do not add what is not in the document, mark [unclear] if you are not sure. Then also list the 3 most important sections that may have been skipped."
Difference: Strong prompt links summary to page, makes hallucination and skipping visible; verification takes seconds.
comparison chart
Summary type
Purpose
Main risk
Mandatory check
Executive summary
General picture for the reader
Context drop
Link to page
Editor briefing
Quick information for decision
Exaggeration/comment
Fact-justification distinction
timeline
event flow
Order/date error
Dates confirmed
social media card
Distribution
excessive compression
Title-number control
Voice/newsletter entry
Broadcast
tone shift
First sentence verification
Common mistakes
- Dropping the context. A summary that omits condition, time, or source condition is misleading even with the correct sentence.
- Not noticing the jump. Relying on the summary without seeing that the AI is missing the main finding.
- Overlooking the addition. Carrying a baseless "finding" that leaked into the summary into the news.
- Not linking to the page. Validating a summary without a reference to the source takes hours rather than minutes.
- Not rechecking in every format. Ignoring the increased risk of error as it is compressed.
Timeline and summary of developing news
A special form of summarizing is to create a timeline in a rapidly developing event: a crisis, a lawsuit, an investigation, unfolding piecemeal over days or weeks, leaving the reader wondering "what happened?" The question needs a quick answer. AI is very useful at sorting scattered news and statements into chronological order and establishing a rough timeline. But there are two particular risks here: sequence and date errors (the AI may date events incorrectly or confuse them) and outdated information (presenting an old development as the latest). That's why every date and every "up to date" statement in the timeline is checked against the most up-to-date verified source.
A second subtlety in developing news is to get the language of precision right. At this early hour, most information is still unconfirmed; The summary should honestly display the uncertainty with phrases such as "allegedly," "not yet confirmed," "authorities have not commented." AI summaries tend to drop these marks of uncertainty and present things as if they were certain; This is dangerous in developing news. No matter how fluent a summary is, it is misleading if it conveys unverified information in the language of certainty. The task of the summary is to both compress the information and honestly convey to the reader how solid that information is.
In summary
Summary and briefing is the newsroom's most repetitive job; AI reduces these to minutes. But the summary can mislead through addition (hallucination), omission (missing the main finding), and decontextualization. The safe way is to clarify the purpose, link the summary to the page/chapter, check for inclusions and omissions, and verify any critical information from the original. In repackaging, the facts remain constant, the title and numbers are double-checked in each format.
Application task
Select a long document (report, decision, explanatory text). Get an 8-point summary with the "Executive summary linked to page" prompt. Then compare the original with the summary using the “Omission/insert check” prompt; Note how many additions, how many omissions, how many context losses you find and fix them.
checklist
- [ ] I define the summary purpose (to whom, for what) from the beginning.
- [ ] I have the summary linked to the page/chapter; I speed up verification.
- [ ] I control insertion, skipping and context loss separately.
- [ ] I confirm every issue and judgment included in the briefing/news from the original.
- [ ] In repackaging, I keep the facts constant and check the title/number in each format.