How to humanize an AI-written research paper

Before and after

Stacked hedges — may, potentially, could — collapsed into one honest limitation sentence. Twenty-eight words became eighteen, and the claim got stronger by being narrower.

Research writing is formulaic on purpose

The conventions are not laziness. A methods section is written so another lab can repeat the procedure, which requires stating steps in order, in the same vocabulary the field uses, without decoration. Structured abstracts, IMRaD headings and standard phrasing all exist so a reader can find one thing quickly across thousands of papers.

Every one of those properties is what a detector reads as machine-written: uniform sentence length, common vocabulary, no authorial voice, entirely predictable word choice. The genre is designed to produce the signature.

That has an awkward consequence worth being clear-eyed about. You cannot make a methods section score well without making it worse at its job, and you should not try. The sections where rewriting genuinely helps are the introduction and the discussion, where a person is supposed to be arguing something.

Hedge stacking is the real target

The worked example above collapses "may potentially suggest that there could be" into a single honest statement. That is the highest-value edit in academic prose and it has nothing to do with detection — stacked hedges are a habit that weakens claims while appearing to be careful about them.

One hedge carries meaning. Three in a row carry none, because a reader cannot tell which uncertainty you actually meant. Replacing them with a specific limitation — what this design cannot establish, and why — is both stronger writing and more useful to a reviewer.

Note the direction the example moved: twenty-eight words became eighteen and the claim got stronger by getting narrower. Research drafts from a model are almost always padded with this kind of protective vagueness, and cutting it is the fastest improvement available.

What a rewrite must never touch

Numbers, units, statistical terms and citations are not prose. A rewriting pass that treats them as prose is the failure mode specific to this format, and it is silent — nothing flags a changed decimal place or a hedge removed from a limitation that needed it.

So read these back against the source explicitly, in this order: every figure and unit; every statistical claim and the test it rests on; every stated limitation; every citation against the paper it points at. The last is the one people skip, and it is where tightening a sentence quietly makes a source support a stronger claim than it made.

None of that can be automated, ours included. It requires knowing what the number meant and what the cited paper said.

Journal policies are not one policy

Venues differ substantially on generative AI, and the requirement is usually disclosure rather than prohibition. Many now ask for an explicit statement of what was used and where, and most are clear that a model cannot be listed as an author because it cannot take responsibility for the work.

The practical instruction is the same as everywhere else on this site: read the policy for the specific venue you are submitting to, and if it requires a statement, write one. A rewrite does not discharge that obligation and neither does anything we sell.

Formats with the same problem

Dissertation chapters — where the literature review turns into an annotated bibliography, and how to fix the joins.

Grant proposals — the same fluency problem read by someone on their eleventh document of the weekend.

Technical documentation — the case for leaving formulaic prose alone, which applies to your methods section too.

Questions

Will rewriting a paper's methods section help?

It will probably make the section worse. Methods writing is formulaic because reproducibility requires it, and the properties that make it good — ordered steps, standard vocabulary, no voice — are the ones detectors respond to. Rewrite the introduction and discussion, where argument belongs, and leave the methods alone.

Is it safe to run a paper through a rewriting tool at all?

For prose sections, with a careful read afterwards. The specific risk in this format is that numbers, units, statistical claims, limitations and citations get treated as text to be varied. Check each of those against your source after any pass — no tool can do it for you, because it requires knowing what the number meant.

Do I have to declare AI use in a journal submission?

Usually, and increasingly explicitly. Most venues now ask for a statement of what was used and where, and most state that a model cannot be an author because it cannot take responsibility for the work. Policies differ, so read the one for your venue rather than a general summary.

How long a document can I process in one pass?

Papers typically run 5,000-8,000 words, which is beyond the 5,000-word per-request cap on our $18 plan and inside the 15,000 on Studio. Splitting across requests works, but each piece is rewritten without sight of the others, so read the joins between sections afterwards.

Does a low detection score make a paper safer to submit?

No, and treating it that way inverts the priority. What matters to a reviewer is whether the claims are supported and the limitations stated honestly. A detection score measures how predictable the prose is, which in this genre is mostly a measure of how conventional it is.

What to watch for

• •Never let a rewrite soften a stated limitation. Hedges that carry meaning must survive.
• •Re-check numbers and units after any rewrite.
• •Journals increasingly require an AI-use statement. Read the specific policy for your venue.

Other use cases