ChatGPT Prompt to Summarize an Article into 5 Bullets
The Scenario
You just read (or skimmed) a long article, research paper, or blog post and your brain is full but your notes are empty. You need the five things that actually matter, not a generic “this article discusses” paragraph. A good summarization prompt forces ChatGPT to extract the core claims, drop the filler, and give you scannable bullets you can paste into a doc or share with a team. Below is a copy-paste prompt with tunable tone, length, and audience controls, plus guidance on getting it right, what a strong output looks like, and how to bend it to different jobs.
The default ChatGPT summary is too polite. It tells you the article “explores,” “examines,” and “highlights” without ever committing to a point. The prompt here fixes that by demanding standalone sentences, a per-bullet word cap, and a “So what?” line so you leave with judgment, not just a recap. Use it on news, research, competitor posts, or anything longer than a screen.
The Copy-Paste Prompt
Paste your article text after the prompt, or swap the article URL for the text. Replace the {{...}} variables to control the shape of the summary.
Summarize the text below into exactly 5 bullet points.
Text:
"""
{{ARTICLE}}
"""
Audience: {{AUDIENCE}}
Tone: {{TONE}}
Max words per bullet: {{WORDS}}
Focus: {{FOCUS}}
Rules:
1. Each bullet must be a standalone, self-contained sentence (no "it also").
2. Lead with the claim or conclusion, then the support.
3. Do not invent facts not present in the text.
4. If the text is thin, say what is missing instead of padding.
5. After the 5 bullets, add one "So what?" sentence explaining why it matters.
Variables You Must Fill
| Variable | What to put | Example |
|---|---|---|
| {{ARTICLE}} | The full article or excerpt | Paste 300-3000 words between the quotes |
| {{AUDIENCE}} | Who reads the summary | My manager / a beginner / a technical team |
| {{TONE}} | Voice of the bullets | Neutral / casual / formal / skeptical |
| {{WORDS}} | Length cap per bullet | 25 |
| {{FOCUS}} | What to prioritize | Actionable takeaways / methodology / risks |
You can drop any variable you do not care about, but {{ARTICLE}} is required and {{FOCUS}} strongly shapes which 5 points survive the cut. If you are summarizing for yourself, set {{AUDIENCE}} to “me” and {{TONE}} to “direct” so the model stops hedging. For a technical audience, set {{FOCUS}} to “methodology and limitations” to skip the hype.
Expected Output
- Remote work cuts attrition by 22% in the study's sample of 40 companies.
- Productivity held flat, contradicting the "remote = lazy" assumption.
- The gain is concentrated in roles with measurable output, not creative ones.
- Cost savings came from office space, not salary changes.
- Survey bias is likely because participation was voluntary.
So what? Before copying the policy, check whether your roles have measurable output like the study's did.
Five tight bullets plus a “So what?” line. If you get six bullets, the model ignored “exactly 5”; tighten {{WORDS}} or re-paste the rule. If a bullet says “the article also suggests,” it broke rule 1, so re-run and point it at the rule. A strong summary should let someone who never read the original understand the stakes in 20 seconds.
Why This Prompt Works
Three constraints do the heavy lifting. “Exactly 5” forces prioritization: the model must drop four decent points to keep five great ones, which is the entire skill of summarizing. The per-bullet word cap kills the rambling “on the other hand” sentences that make AI summaries unreadable. The “So what?” line forces a synthesis step most summaries skip, turning a recap into a recommendation. Together they convert a chatty assistant into an editor with a red pen.
Common Mistakes to Avoid
- Pasting only the headline: with no body, the model fills gaps from prior knowledge and drifts from the source. Give it the real text.
- Asking for “key points” with no count: you get anywhere from 3 to 12, never scannable. Pin the number.
- Ignoring the word cap: without it, bullets balloon into paragraphs. Keep it under 30 for sharing.
- Trusting facts: even with the “do not invent” rule, models occasionally paraphrase incorrectly. Spot-check numbers against the source.
Variation Tips
- Speed read: set
{{FOCUS}}to “the single most surprising claim” to get a highlight reel. - Meeting prep: set
{{AUDIENCE}}to “executives” and{{TONE}}to “formal” for a board-ready brief. - Debate mode: add “List one counter-argument for each bullet” to stress-test the article.
- Non-English text: append “The source is in {{LANG}}; summarize in English” to translate while condensing.
- Source links: add “After each bullet, cite the nearest sentence from the text” when you need traceability.
This pairs well with broader writing workflows; see How to Write a Blog Post with ChatGPT for turning a summary into a draft, and ChatGPT Rewrite vs Edit to tighten the bullets afterward. For 50 more writing prompts, browse 50 ChatGPT Writing Prompts.
Quick Checklist Before You Share It
- Did you paste the real article text, not just the title? Thin input means thin, invented bullets.
- Are there exactly 5 bullets, each a standalone sentence? If not, re-run and point at the rule that broke.
- Is every bullet under your word cap? Long bullets defeat the purpose of a scan.
- Does the “So what?” line add judgment, not just a recap? If it repeats bullet 1, ask for a real implication.
- Did you spot-check the numbers against the source? Models paraphrase statistics imperfectly even with guardrails.
Treat the summary as a first draft of your notes, not a finished report. A 20-second read against the original catches almost every error before it reaches your team or your blog.
Sources & Notes
Prompt designed for ChatGPT GPT-4o and later; works on Claude and Gemini. Summarization quality depends on the input’s coherence, so clean pasted text beats a messy copy from a PDF. As of 2024-2025, “exactly N bullets” instructions are reliably honored when paired with a per-bullet word cap. No external data fetched; the sample output is illustrative. Always re-check factual claims against the original before publishing or sharing, especially statistics and quotations.
