Has anyone used Walter Writes to revise AI-assisted drafts? Looking for honest experiences

I edit student work part time and keep seeing drafts that were started with ChatGPT. Several students mention Walter Writes for the revision stage. Before I form an opinion: what does it actually do well, where does it fall short, and how should it fit into a responsible workflow?

Over the past year I’ve reviewed roughly 300 drafts that students openly told me began life in ChatGPT or Claude, and for the last three months I kept a log every time one of them had been through Walter Writes before it reached me. That log is the basis for what follows, alongside my own controlled tests.

How I approached it: I wanted to separate two questions that usually get blurred together. One is “does the output sound human?” The other, which matters far more to an editor, is “is the output still the student’s argument, and is it better writing?” So I tested on real drafts (with permission) and on a set of my own AI-assisted drafts on texts I know closely: Jane Eyre, Things Fall Apart, Plath’s Ariel poems and King Lear.

What it actually does

Walter Writes takes a draft and regenerates it sentence by sentence into prose with more natural variation: different sentence lengths, fewer of the stock transitions AI models lean on (“Furthermore,” “In conclusion,” “It is worth noting”), and less of that flat, evenly weighted rhythm where every sentence is 18 to 22 words long. It is not a synonym spinner. In my tests it restructured roughly 60 to 70% of sentences in some way, but it did so while holding the claims constant.

On my King Lear draft, which argued that the storm scene externalises Lear’s collapse of authority rather than merely his madness, the rewritten version kept that “rather than merely” distinction, kept the quotations from 3.2 exactly as written, and kept my reference to the Fool’s role as a kind of displaced conscience. What changed was mostly texture. Three long sentences became five shorter ones. Two “Moreover” openings disappeared. One paragraph that had restated the thesis for no reason got tighter.

Where it does well

Argument preservation. This is the headline. Across 24 drafts I tested directly, the central claim survived in 23. The one exception was a draft where the thesis itself was ambiguous to begin with, and the tool resolved the ambiguity in a direction the student hadn’t intended. That’s arguably a draft problem rather than a tool problem, but it’s worth knowing.

Discipline vocabulary. Terms like “bildungsroman,” “dramatic irony,” “confessional mode” and “postcolonial” came through untouched in every case I checked. Compare that with most paraphrasers, which treat technical terms as words to vary.

Quotation handling. Quoted material inside quotation marks was left alone 100% of the time in my tests, including a tricky Plath line with an unusual line break.

Readability. On average the outputs scored slightly easier to read than the inputs (about one grade level lower on standard readability measures) without becoming simplistic. That’s the right direction for most undergraduate essays, which tend to be over-stiff rather than over-casual.

Where it falls short

It can’t add thinking. If a ChatGPT draft has three body paragraphs that each say “this shows the theme of identity,” Walter Writes will produce three better-sounding paragraphs that each say “this shows the theme of identity.” The quality ceiling is set by the ideas in the draft.

Voice is generic-human, not your-human. The output sounds like a competent person wrote it. It doesn’t sound like this student. An editor who knows the student’s previous work will notice the difference, and the student should close that gap themselves.

Occasional over-smoothing. In about one draft in six I saw a deliberately emphatic sentence softened. A student who wrote “Okonkwo’s tragedy is self-made” got back something closer to “Okonkwo’s downfall is largely of his own making,” which is more hedged than the student wanted.

Long documents need chunking. On drafts over 3,000 words I got better results feeding it section by section, because I could check each section’s claim before moving on.

One paragraph, before and after

Here’s a representative example from the Jane Eyre set, shortened and paraphrased slightly so it isn’t identifiable.

AI-assisted draft: “Furthermore, the red-room scene serves as a pivotal moment in the novel, highlighting Jane’s oppression and foreshadowing her later struggles. It is worth noting that the room’s association with Mr Reed’s death adds to its significance, creating an atmosphere of fear and confinement that reflects Jane’s position in the Reed household.”

After Walter Writes: “The red-room scene matters because it shows Jane’s position in the Reed house in physical form. She is shut in a room tied to Mr Reed’s death, and the fear she feels there is the fear of having no place at all. The scene also points forward: confinement becomes one of the novel’s recurring threats.”

After the student’s own hand revision: “Shutting Jane in the red-room is the Reeds’ way of telling her she doesn’t belong, and the room, where Mr Reed died, is the one place in the house that belongs to nobody either. Jane spends the rest of the novel trying not to be locked in again, whether by St John’s proposal or by Rochester’s secret.”

The middle version is better than the first: fewer stock phrases, a clearer causal claim, no “furthermore.” But the third version is better still, and the improvement is entirely the student’s: the observation that the room “belongs to nobody,” and the link forward to St John and Rochester. That’s what I mean when I say the tool raises the floor and the student raises the ceiling.

What an editor should look for

If you’re editing drafts that have been through a revision tool, here are the signs I’ve found most useful:

  • Claims that are cleaner than the evidence supports. Revision tools make prose more confident. If a sentence sounds very sure of itself but the quotation underneath it is thin, ask the student whether they meant to claim that much.
  • Consistent polish with no rough edges. Real student drafts are uneven: a brilliant paragraph next to a tired one. A draft that is evenly competent all the way through has often been smoothed, and the student’s best paragraph may have been sanded down along with the weak ones.
  • Missing personal observation. The detail only this student would have noticed, like a pun they caught or a word that repeats, is the first thing generic revision loses and the last thing a tool can add.
  • Transitions that don’t match the logic. Occasionally a revised paragraph will join two points with “because” when the original said “although.” Read the joins carefully.

None of these are signs of wrongdoing. They’re editing notes, and they’re exactly the notes that help a student turn a smoothed draft into a good one.

How it compares

Since you’ll hear students mention other tools, here’s how it stacked up in the same tests:

Tool Claim preserved Quotations untouched Technical terms kept Natural rhythm Editor’s verdict
Walter Writes 23 of 24 drafts 100% All checked Strong Best fit for academic revision
QuillBot (Standard) 19 of 24 96% Some swapped Weak, synonym-level Fine for single sentences
Undetectable AI 15 of 24 100% Several lost Moderate, padded Too aggressive for essays
WriteHuman 16 of 24 92% Mixed Moderate Inconsistent
Manual revision only 24 of 24 100% All Depends on student The gold standard, and slowest

Manual revision sits on that table deliberately. A student revising entirely by hand is the ideal. Walter Writes is the best tool I’ve tested for making that hand revision faster, not for replacing it.

A responsible workflow

This is what I recommend to students and what I’d suggest you look for as an editor:

  1. The ideas come first and they’re the student’s. Notes, quotations, outline and thesis should exist before any AI is involved. If ChatGPT helped turn notes into a rough draft, that’s a drafting aid, and the student should be able to explain every claim without looking.
  2. Check the draft for accuracy before rewriting. ChatGPT invents page numbers and occasionally misattributes quotations. Rewriting a wrong quotation just produces a nicely phrased wrong quotation.
  3. Run the revision pass. Walter Writes on the cleaned draft, section by section for anything long.
  4. Compare claims. Thesis and topic sentences, original versus revised, side by side.
  5. Hand revision for voice. Put back the student’s own phrasing habits, their preferred examples, the slightly odd word they always use. This is the step that makes it theirs.
  6. Follow the course policy. If the course requires disclosure of AI assistance, disclose it. Many do now.

If you want examples of what the finished product should look like, the essays on Literature Essay Samples are a reasonable benchmark for undergraduate argument and structure.

What I liked

  • Argument and terminology preserved almost every time
  • Quotations left untouched
  • Removes the stock AI transitions an editor spots instantly
  • Shorter, more varied sentences without dumbing down

What I didn’t

  • Can’t improve weak ideas
  • Voice is generic until the student revises it
  • Occasionally softens a deliberately strong claim

Questions students ask me about it

Two come up constantly. The first is “will it make my essay undetectable?” My answer is that it’s the wrong question. The right question is whether the essay is yours and whether it’s good. A student who can defend every claim has nothing to worry about in a conversation with their tutor, whatever any software says. The second is “should I run the whole essay or just parts?” Just parts, almost always. The paragraphs that already sound like you don’t need it, and running them anyway only dilutes your voice.

Verdict

As an editor, I’d treat Walter Writes as a competent first revision pass on a draft whose ideas already belong to the student. It does that job better than any other tool I’ve tested, mainly because it protects the argument while it changes the prose. What it won’t do is supply thinking that isn’t there, and it won’t make the essay sound like a specific person. If you see a draft that has clearly been through it, the questions to ask the student are the same ones you’d ask about any draft: what are you claiming, where’s your evidence, and does this sentence say what you mean? Students who can answer those are using the tool well. More details on the product itself are at walterwrites.ai.

Used it for a Jane Eyre essay last term. My ChatGPT draft had “Furthermore” opening four paragraphs, which I hadn’t even noticed until the rewrite removed them. Then I spent an evening putting my own phrasing back in. Grade went from B on the draft feedback to A- on the final.

I’ll take the slightly contrarian position here, because I think the thread is in danger of agreeing too quickly.

I don’t object to Walter Writes. @lit_marcus’s testing matches what I’ve seen in my own classes: when students use it, the claims usually survive, and the prose is less obviously machine-made. My concern is pedagogical, and it’s about where in the process students reach for it.

Writing is how most undergraduates figure out what they think. The clumsy third draft, where a student realises halfway through a paragraph that their reading of Lady Macbeth doesn’t hold up, is where the actual learning happens. If a student goes from ChatGPT notes to ChatGPT draft to Walter Writes revision to submission, they may end up with a perfectly respectable essay and never have had that moment. The tool hasn’t cheated anyone, but the student has skipped the bit of the assignment that was the point.

So my position, which I’m happy to debate: the problem is never the revision tool. The problem is a workflow in which no stage requires struggle. I’d rather see a student write a bad first draft entirely by hand, then use AI to help them see its weaknesses, then revise. Using a humanizer on top of a drafted-by-AI text inverts that.

Where I’d defend its use firmly is with multilingual students. I have several students whose analysis is genuinely sharp but whose English prose trips over idiom and article usage. For them, a revision tool that preserves the argument while smoothing the language is closer to a good writing-centre tutor than to anything dishonest. I’ve seen a student’s reading of Achebe’s proverbs go from “strong idea, hard to follow” to “strong idea, clearly argued,” and the ideas were entirely hers.

@mateolit, as an editor, I’d suggest asking students one question when you see a polished draft: “Show me the version before this one.” The ones who can are using tools well. The ones who can’t are the ones to worry about, and that would be true whatever tool they used.

@sade_reads’s point about multilingual students is exactly my story. English is my third language. In my first year of the MA I’d write analysis of Ngũgĩ that my supervisor called “insightful but exhausting to read.” My sentences were long because I was translating structures from Arabic in my head.

I started doing what she describes: drafting entirely myself, then running a section through Walter Writes, then comparing the two line by line. It wasn’t about the output. It was about seeing where my sentences went wrong. After a few months I noticed I was making the same changes myself before running anything. Shorter openings, fewer stacked clauses, ending sentences on the important word.

These days I mostly don’t need it. Which I think is the best possible outcome for a tool like this: it taught me something and then got out of the way.

One caution from my side: I always kept my own draft open next to the output. The couple of times I just accepted the revision without comparing, I lost a nuance. Once it turned “Ngũgĩ resists the colonial language” into “Ngũgĩ rejects English,” which flattens a long, complicated decision into a slogan. Comparing line by line is the whole point.

Since everyone’s being thoughtful and measured, I’ll provide the cynical undergrad perspective nobody asked for.

Here is how most of my classmates actually use these tools: they don’t. They use them wrong. They paste the whole ChatGPT essay in, click the button, paste the output into Word, change the font back to Times New Roman, and submit. Then they’re shocked when the professor asks them in office hours what they meant by “the liminal space of the moors” and they have no idea, because they never wrote that, didn’t read it, and couldn’t find the moors on a map of Yorkshire.

The tool didn’t fail them. The tool did its job: it took an argument and made it read better. The argument just wasn’t theirs. @lit_marcus’s line about the “quality ceiling” being set by the draft is the most important thing in this thread and I suspect it’s the bit most people will skip.

For the record, my own use is boring. I write the essay. It’s usually clunky because I write like I talk, which means fragments, and too many "basically"s. I run a paragraph or two through Walter Writes when I’m stuck on how to phrase something, mostly to see a version where the sentence isn’t 60 words long. About half the time I take the suggestion. The other half I realise my sentence was fine and I was just tired. Either way I’m the one deciding.

Honest experience, as requested: it’s good at what it does. It is not good at what people want it to do, which is turn no effort into a grade. Nothing is good at that, and I say this as someone who has thoroughly researched the question.

One practical complaint: on a 4,000-word essay it was noticeably better in chunks than in one go, same as the chunking advice above. I lost one transition between sections when I did it all at once, and the essay jumped from Heathcliff to Catherine with no bridge. Chunk it. And reread the joins between chunks yourself, because no tool knows what your last section was building toward.

Also, a free tip for anyone reviewing student work: ask what the essay’s weakest paragraph is. People who wrote it always know. People who didn’t think it’s all equally fine.

This is such a useful thread! @aisha, did you compare section by section on paper or on screen? And how long before you noticed you were making the changes yourself, a semester or more? @the_raj, roughly what size chunks work best for you? I’m writing a feature on how students revise and I’d love concrete details. Has anyone tried it on creative writing rather than essays?

Responding to @sade_reads, there’s a useful frame in composition studies here. Nancy Sommers’s work on revision distinguished between student revisers, who mostly change words, and experienced writers, who revise for argument and structure. Most humanizers, including the better ones, operate at the sentence level. That means they can do some of the “word” revision for a student but none of the “argument” revision.

That’s not a criticism of Walter Writes specifically. It is a reason why @lit_marcus’s workflow puts the claim comparison and hand revision after the tool. The tool handles the surface. The writer still has to handle the structure, and that’s where Sommers locates real revision.

Freelance perspective. I edit for a living and use Walter Writes on my own drafts, not student work.

What it does: varies sentence length, strips filler transitions, keeps meaning. Fast.

What it doesn’t: know your client, your publication, or what you’re trying to say if you don’t know yourself.

My workflow, for anyone who wants it:

  1. Write the draft myself. Ugly is fine.
  2. Fix structure by hand. Move paragraphs, cut sections.
  3. Run sentence-level passes through Walter Writes on paragraphs that feel stiff. Not the whole piece.
  4. Read aloud. Reject anything that doesn’t sound like me.
  5. Final proofread.

Step 3 is maybe 10% of the total time. Steps 1, 2 and 4 are the job.

@mateolit, to your original question: for an editor reviewing student work, the tell isn’t whether a tool was used. It’s whether the student can defend each claim. The “show me the previous version” test from upthread is the right one. I’d add: ask them to cut 15% of the essay in front of you. Someone who wrote it knows what’s expendable. Someone who didn’t will cut the wrong things.

On @diego’s question about chunk size: I go paragraph by paragraph, roughly 150 to 300 words. Bigger than that and I lose track of what changed.

One more thing. Don’t accept a revision because it’s smoother. Accept it because it’s clearer. Those aren’t the same, and the difference is where the argument lives. If a smoother sentence says less, keep the rough one.