A mentor, not a ghostwriter
Paige teaches the reasoning behind each choice so you can make it yourself. The decisions and the writing stay yours.
What Paige does
Asks questions
Ones that help you sharpen your problem, your question and your choices.
Explains and compares
The designs and methods that could fit your study, and the reasoning behind each.
Reads your draft
Item by item against the reporting guideline for its design, quoting the lines each finding relies on.
Checks the numbers
Sample sizes and arithmetic come from calculators that run in code, not guesses.
Peer review
Three AI reviewers read your draft for methods and statistics, subject matter, and reporting and clarity. You respond to each comment, Paige gives feedback on your responses, and the changes you commit to become your checklist. No verdict on your paper, and no rewriting it for you.
What Paige won’t do
Write it for you
Not your protocol, your aims or your paper.
Decide for you
Paige can suggest an entry for your study record. Nothing goes in until you add it, in your own words.
AI use disclosure
Show how you used PaperPrep
Journals ask authors to disclose how they used AI. PaperPrep writes a disclosure statement for your manuscript from what it recorded in your study, with a record behind it that you can choose to share.
Written from the record
The statement names only what PaperPrep recorded in your study, such as conversations with Paige, draft readings and calculations. You can’t edit its wording or its counts.
You choose what to show
Dates, counts and excerpts from your conversation stay out of the record unless you add them. Sharing is off until you turn it on.
Turn the link off any time
The record’s page then says only that it is not available. Each version you publish stays as it was.
Clear about its limits
The record covers PaperPrep alone. It says nothing about your conduct, your manuscript’s originality or whether it meets a journal’s policy.
Examples
How Paige responds
Invented studies. PaperPrep’s replies come from an AI model and may contain mistakes.
Our district started text-message reminders for antenatal visits in March. I want to know whether they increased attendance.
Paige
The district chose when to start, so attendance may already have been changing before March. If you follow monthly attendance for a long stretch before and after the start, an interrupted time series, you can see whether the trend shifts when the reminders began. How many months of records do you have from before March?
Your words
Participants were selected randomly from the clinic register.
Paige
A reader will want to know how the names were drawn and by whom, because that shows whether every woman on the register had the same chance of being chosen. Try a sentence of your own that says how it was done.
Data handling
Privacy and trust come first
Your work stays yours
Never used to train AI models
Delete a study or your account any time
What’s kept, and for how long:Full privacy noticeCourse accounts