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About this tool
Build an AI prompt that summarises a research paper into structured sections with word budgets, including method and limitations.
The Research Summary Prompt Builder writes an AI prompt that turns a research paper into a structured-abstract summary — background, research question, method, findings, limitations and implications — with a word budget attached to each section. The budgets are apportioned from your chosen total using largest-remainder rounding, so the section counts always add up exactly to the length you asked for, and the prompt carries an explicit rule that any detail the paper does not state must be written as "not reported" rather than guessed. It is built for students, reviewers and researchers who need a summary that keeps the method and the caveats instead of collapsing a paper into three cheerful sentences.
Open Research Summary Prompt Builder on AltFTool — it loads instantly in your browser.
Paste or type the text you're working with.
Choose how it should be transformed or analyzed.
Copy the finished text into your document or post.
Method and limitations get 25% and 15% of the word budget by default, the sections generic summarisers usually drop.
Largest-remainder apportionment splits the total into whole words per section with no rounding drift.
The prompt forbids estimating missing details and requires "not reported" instead, plus a section or page reference for each key claim.
Use the structured-abstract sections derived from IMRaD: background, research question, method, findings, limitations and implications. Journals such as JAMA and the BMJ have required structured abstracts since the late 1980s precisely because unstructured summaries omit design and sample details that readers need to judge the work.
For screening a paper, 250 to 400 words is usually enough — roughly the length of a journal structured abstract, which is typically capped at 250 to 300 words. This builder accepts anything from 100 to 1500 words and divides the total across the sections you select.
It can produce a usable draft but not a trustworthy one on its own: large language models routinely soften hedged claims, misread numbers in tables and invent details that were never in the text. That is why the generated prompt requires exact figures with their units, a section or page reference for each key claim, and "not reported" for anything missing — so the errors are easy to spot and check.
No. It builds the prompt text locally in your browser; you paste that prompt plus your paper into ChatGPT, Claude, Gemini or any other assistant. Nothing is uploaded and no paper is sent anywhere by this page, which also keeps you clear of publisher terms that restrict redistributing paywalled PDFs.