About PaperPrep

Access to that kind of feedback is uneven. Even when a mentor is available, questions arise between meetings, while reading a paper, considering a design, or revising a draft.

PaperPrep is a free AI research methods mentor built to make thoughtful methodological feedback more accessible. You talk with Paige about your study, explore alternatives, and work through the reasons behind your choices. Our goal is to help you develop both a stronger study and stronger methodological reasoning.

Why PaperPrep won’t write your paper

Many chatbots will turn an idea into a polished proposal or manuscript. PaperPrep is designed to keep the reasoning and writing with you.

Paige can explain a method, challenge an assumption, compare approaches, and comment on your draft. It will not write your paper, rewrite your paragraphs, or supply text for you to submit as your own. You decide what enters your study record, in your own words.

That boundary matters when coursework is meant to demonstrate what you understand. It also matters when preparing a manuscript for a journal that restricts AI-generated writing. You should be able to explain your methodological choices and take responsibility for the words you submit.

PaperPrep still uses AI. Follow your course’s or journal’s rules, including any requirement to disclose that assistance.

A conversation you can question

Paige’s feedback can contain mistakes. Ask for the reasoning, check the sources, and weigh its suggestions alongside your own judgment and advice from the people you work with. You can disagree, change direction, and keep exploring.

What Paige does at each stage

Finding a research problem

Paige asks what you have noticed and what is already known, and works with you to narrow an area of interest to a problem you can study. A literature search you run from your study is recorded with its query, date and counts.

Sharpening a research question

Paige asks who your study is about, what you want to learn and compared with what, and explains what each choice commits you to. The question stays yours to write and change.

Choosing a research design

Paige compares designs that could answer your question, explains what each one rests on and what it leaves open, and works through sample size with a planner that computes the numbers in code and shows what moves them.

Checking a protocol or proposal

You paste a protocol or proposal and it is read item by item against the reporting guideline for its design, quoting the lines each finding relies on. Paige can then talk through what the reading shows.

Analyzing research data

Paige asks about your question, your data and the analysis you have in mind, and explains what a method assumes and how to read its output. Share summary output, not data with one row per participant.

Writing up a study

Paige asks what a reader needs to know about your methods and findings, and why. It comments on sentences you quote from your own draft and asks you to try the next version yourself.

Getting feedback on a manuscript draft

You paste a manuscript draft and it is read item by item against the reporting guideline for its design, quoting the lines each finding relies on. Where no guideline for that kind of report is loaded yet, Paige says so and you talk it through instead. We have not yet measured how accurate these readings are.

I'm not sure where to start

Paige asks a few questions to find where your study is and what to work on next.

Questions about who can see your work, and what we keep? See Your research and PaperPrep.