ChatGPT / 4 min
ChatGPT summary prompts: separate purpose, detail level, format, and review notes
A practical ChatGPT summary prompt guide for summarizing long text, articles, meeting notes, and research docs with purpose, audience, detail level, output format, and human review fields.
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Watch on YouTube“Summarize this” is often too vague for work you need to trust
ChatGPT can summarize long articles, meeting notes, research documents, customer feedback, and email threads. But a bare “summarize this” prompt can become too short, drop numbers or assumptions, or blend the source text with interpretation that is difficult to verify.
OpenAI’s prompt guidance recommends placing instructions before the text, separating the context with delimiters, and specifying the desired length, format, style, and outcome. For summarization, that means defining the purpose, reader, length, output fields, and source-only rule before you paste the source.
Japanese practical guides around ChatGPT summarization repeat the same pattern: define role, constraints, and output format; split extraction, organization, and summary; and divide very long inputs before combining them. Microsoft’s prompt guidance also frames instructions, context, examples, and tables as useful building blocks for structured output.
Five fields to define before summarizing
- Define the purpose. A manager brief, customer explanation, article scan, and post-meeting task list each need different information.
- Specify the reader and detail level. Beginner-facing, executive-facing, and operator-facing summaries require different amounts of background and terminology.
- Split the output format. Use separate fields for one-line conclusion, key points, evidence, unknowns, and next actions so reviewers can scan the result.
- Set the source boundary. Say “use only the source text” and “mark uncertain points as needs review” to separate summary from inference.
- Protect confidential information and rights. Remove personal data and sensitive material before pasting, and compare the output with the source before publishing.
Prepare these four inputs first
How to adapt the prompt by summary type
| Long article or report | Separate overview, key arguments, evidence, and sections worth reading. Keep chapter names or links when they help source checking. |
|---|---|
| Meeting notes | Separate conclusion, decisions, open issues, owner, and deadline. Do not infer speaker intent; move ambiguity into a review field. |
| Research material | Separate facts, implications, numbers, sources, and follow-up checks. Mark old or weakly supported information as needs review instead of making it sound final. |
| Customer feedback | Separate recurring themes, pain points, emotion, feature requests, and cases that need individual follow-up. Remove personal data before summarizing. |
Summary prompts to try in ChatGPT
Fix the purpose and output fields
Summarize the following text for a manager update. Use only information that appears in the source. Return five sections: “One-line conclusion”, “Five key points”, “Numbers and proper nouns”, “Uncertain items”, and “Next checks”. Text: """(paste the text here)"""
Purpose and fields are fixed before generation, so a short working summary remains easier to verify.
Compare detailed and short versions
Summarize the following text twice. First, create a detailed version of about 180 words. Second, create a version under 40 words for Slack. Finally, make a table listing what was removed and what could be misunderstood if the short version is used alone.
The prompt changes length for different channels while still showing the risk of removed context.
Chunk and combine a long document
I will paste a long document in multiple parts. For each part, record only “Key points”, “Important numbers”, and “Items to verify”. When I say “combine”, create the overall conclusion, section-by-section notes, overlaps, contradictions, and the next sections to read. Do not fill gaps by guessing.
Long inputs are handled as a workflow: part-level notes first, integrated summary only after all chunks are available.
Save reusable summary prompt templates in BananaNL
Summarization work repeats the same structure: purpose, reader, length, output fields, source check, and review notes. Save templates for articles, meetings, research docs, and customer feedback in BananaNL so you only replace the source text each time.
BananaNL is a Chrome extension that inserts saved prompts into the input field of AI Chat tools such as ChatGPT, Gemini, and Grok. It never auto-sends, so you can review confidential information, citation boundaries, and publishing readiness before you send. Under the current pricing boundary, NotebookLM can be started for free; AI Chat prompt viewing, insertion, and saving are paid features; Image Collections, image saving, image editing, and video conversion are free features.
FAQ
Can I use a ChatGPT summary as-is?
Use it as a draft. Check numbers, names, quotations, and judgment-heavy points against the source, especially before using it in public or customer-facing material.
Should I paste a long document all at once?
Short documents may work in one pass, but long documents are easier to verify when you summarize sections first and combine them afterward.
Is it safe to summarize confidential documents?
Check your AI service settings and company rules first. Remove or anonymize personal data, contracts, and unreleased information before pasting anything into an AI chat.
If searching for prompts is the hard part, use BananaNL
Prompts become useful when they are close to the input field. Use BananaNL to carry them there, then adjust before sending.