“Summarize this article.” Four words. And the result is… fine. Generic. It captures the gist and misses everything interesting. What is the best way to prompt for summaries? After summarizing thousands of documents — articles, books, meeting transcripts, research papers — I’ve learned that the difference between a useless summary and a brilliant one is entirely in the prompt. Here’s the exact formula I use.
Why Default Summaries Disappoint
A bare “summarize this” gives the AI no information about what you need. So it produces the statistical average of all summaries — covering everything shallowly, emphasizing nothing. It’s the summary equivalent of a shrug.
The fix isn’t complicated. You need to tell the AI four things: length, focus, format, and audience.
The Summary Prompt Formula
Here’s my go-to template:
“Summarize the following [document type] in [length]. Focus on [what matters to you]. Format as [structure]. This is for [audience/use case].”
Real example: “Summarize this 30-page market research report in 10 bullet points. Focus on findings relevant to a SaaS startup entering the European market. Lead with the 3 most surprising findings. This is for a board presentation, so keep the tone crisp and data-driven.”
That prompt gets you something you can actually use. “Summarize this” gets you homework.
Summary Prompts for Different Needs
For quick understanding
“Give me the 5 key points of this article in plain language, each in one sentence. Then one sentence on why it matters.”
For meetings
“Summarize this transcript. I need: decisions made (with who decided), action items (with owners), and open questions. Skip the small talk.”
For books
“Summarize this book chapter by chapter: 2-3 sentences per chapter capturing the core argument. Then a final paragraph on the book’s overall thesis and whether it’s convincing.” (For book-length work, Claude is excellent given its long context.)
For research papers
“Summarize this paper: research question, methodology, key findings, limitations. Then tell me in one paragraph how this relates to [your topic].”
For “explain it to me”
“Explain the key ideas in this document as if I’m smart but new to the topic. Use an analogy for the hardest concept.”
Advanced: Better Than Summarizing
Sometimes you don’t want a summary — you want the AI to think about the document:
- “What are the 3 strongest and 3 weakest arguments in this piece?” — critical analysis, not just compression
- “What questions does this document leave unanswered?” — reveals gaps
- “Summarize this from the perspective of a skeptic.” — surfaces what a neutral summary hides
- “What would someone who disagrees with this say?” — steelmanning on demand
- “Extract only the actionable items.” — for turning reading into doing
These “analytical summaries” are where AI genuinely outperforms speed-reading — a human skimmer gets the gist; AI can interrogate the text from angles you’d never think to check.
Common Summary Mistakes
- Summarizing without reading the source first. At least skim it — you’ll prompt better and catch AI errors.
- Accepting the first summary. “Good, now make it half as long” or “now focus only on X” — iterate.
- Trusting summaries of things you haven’t verified. AI summaries can misrepresent sources. For anything important, spot-check against the original.
- One-size summaries. A summary for your boss and a summary for your notes should be different prompts.
For the general principles behind all of this, see how to structure prompts for best results. And if you’re working with very long documents, Gemini’s book-summarization abilities are worth knowing.
What Is the Best Way to Prompt for Summaries of Long Documents?
Generic “summarize this” gives generic summaries. Better: specify the summary’s purpose. “Summarize this contract, focusing on obligations, deadlines, and penalties — as a bullet list a busy executive can scan in two minutes.” The purpose shapes what gets kept and what gets cut.
For long documents, try layered summarization: first ask for a section-by-section outline, then ask for detail on the sections that matter. This beats one-shot summarization because the model processes the document’s structure before compressing it — fewer missed points.
Specify length explicitly: “in under 200 words” or “as five bullet points.” Without a length target, models default to medium-length summaries regardless of what you need. And always verify critical details against the source — summaries compress, and compression can distort. Claude’s summarization guidance covers these techniques for long documents.
Meeting notes are the sleeper use case: feed in a transcript, get decisions, action items with owners, and open questions — formatted for forwarding. The prompt that works: specify your exact output format once, save it as a template, reuse forever. Teams that systematize this reclaim hours weekly.
The Bottom Line
What is the best way to prompt for summaries? Specify length, focus, format, and audience — every time. “Summarize this” is a wish; a structured summary prompt is a brief. And once you’ve mastered basic summaries, graduate to analytical prompts that interrogate the document instead of just compressing it. That’s where the real value lives.
