Like the original Grammarly, I think this can be useful for business writing because these tools help you get to the point. Many students are rewarded for using flowery language in school essays, but if you're composing an email or writing a design doc, just optimize for reading time and clarity.
But for general use, I think this is misguided. The problem with LLM output is not that it's using em dashes or words such as "crucial". It's that most LLM articles on LinkedIn or on personal blogs just take a one-sentence prompt and dress it up into a lot of pointless words, wasting everyone's time: "I had a shower thought and I asked a chatbot to write five pages of text about it." I don't need prettier words, I need there to be far fewer of them?
On the flip side, if you're a human and actually have something of consequence to say, "delve" all you want.
Tangential, but I remember when I was studying for the ACT, there was something in one of the practice books that stuck with me. I'm paraphrasing but it was something like "Good writing is clear and easy to understand. It's about communication, make sure you communicate".
It was something that I guess I logically knew but hadn't fully realized. I had always tried to be fancy with my writing and pad it out to meet minimum word counts, with "understand-ability" being somewhat of an afterthought. Just that one statement in my ACT prep book made me, in my opinion, a significantly better writer.
So it’s really about the content; not the metrics.
My mother was British. She was also an awesome cook.
She used to say that the British dining table was the fanciest in the world, with fine china plates, silver silverware, lace tablecloths and matching napkins, etc., but terrible food.
French tables, on the other hand, were casual affairs, with newspaper on the table, and a candle jammed into a wine bottle, but excellent food.
So many books that could've been an article. I try to save myself time by checking Goodreads but it's not always clear as I'm more critical than the average person. Reading a preview in Google Books helps but you only get so many pages before you're cut off. Appreciate that lately new books are sometimes featured in pubs with an excerpt.
For hundreds of years there have been incentives (money) to publish books, and yet in 2026 we still haven’t worked out how to monetarily incentivise authors of single articles without bundling them with articles or other authors you wouldn’t read (because you only care about a single article damnit
As a senior engineer I spend a lot of time reviewing and approving technical designs, PRDs etc.
Over the years the amount of basic copy editing I have to do has really grown. I sometimes feel like I’m removing 20%+ of the text. And that was before LLMs.
> Many students are rewarded for using flowery language in school essays
Not to nitpick, but I actually had the opposite experience in uni. My prof docked me marks for my flowery language, and honestly, good for her, my lazy writing style honestly sucks (see how I used "honestly" twice in the same sentence, lol).
Not to take away from your post or anything, just realising I got lucky with my prof. I agree that LLMs produce way too much output when generating writing (and code too!)
Flowery language is important but something like BLUF - Bottom Line Upfront[0] is important too.
While it's important for universities to continue to teach the ability to write using 'flowery' language I think that it is also important that schools teach students something like BLUF -- Bottom Line Upfront.[0]
Compare and contrast those two sentences. I'm fine writing a comment that us just the first sentence and the link without a footnote but I know as a message it won't go over well on a site like Hackernews. They looooooove their verbosity here.
So in some situations you have to gussy it up -- give it some of that Emeril "BAM". The deal is that you have to know your audience. The medium is the message.[1] shit like that.
Stuff on Linkedin is full of pointless words because that's what Linkedin is for -- it's about signalling to other people that you can string together a bunch of pointless words that are effusive and vaguely passive aggressive at the same time -- you know, typical business shit.
“Whether in a suit or in a loincloth people are ignorant little thorns cutting into one another. They seem incapable of advancing beyond the violent tendencies which at one time were necessary for survival.”
We can delve into this kinda stuff but really it just comes back to the know your audience and that the medium is the message. Also don't repeat your self.
No. I've been using that construct long before LLMs and I don't think there's anything wrong with it. It allows you to succinctly state the position you're disagreeing with before putting forward another hypothesis. LLMs overuse it for needless emphasis, with the negative example usually reduced to a single word.
It's never been so prevalent as now, it's everywhere. I didn't mean any of this as a bad faith thing, it genuinely is changing how people think, speak, etc. Also, I don't consider hedging or defensive writing or negative definitions succinct (it's not a wall of text, granted) and in ordinary times it did indeed have its place.
Edit: I would add that you literally followed the formula in every respect except for a single word, and IMO LLMs are already changing to avoid the single-word formulation.
This doesn't apply here - I don't think? The article claims X; so it is surely no sin for the post rebutting it to straight up state that X is, in fact, not the case.
The LLM tic, by contrast, has a noticeable tendency to be deployed even when X has never been previously mentioned. It is a valid rhetorical technique, and I assume that's why the LLMs have picked up on it - but it has to be deployed judiciously. Which is something LLMs appear absolutely incapable of doing. And that is why people notice it, and think it sucks.
Anyone over the age of 25 actually developed their writing style before ChatGPT came about. Getting all uppity about these surface-level LLM ‘tropes’ is just stupid. I am thankfully yet to run into a situation where someone with this attitude is actually in a position to be able to negatively affect my life. I’m sure that there’s a correlation. Take the “ew, em-dash” stuff back to Twitter.
Nonsense. It's a common construction that LLMs didn't exactly invent. I don't think their usage evokes LLM writing at all (not short and punchy enough).
Just because LLMs overuse it doesn't mean it doesn't have its place.
The way the OP used the 'not X, but Y' pattern, the 'X' and 'Y' are two clear, specific, and (most importantly) distinct things, as opposed to stereotypical LLM usage where they're vague characterizations or metaphors. And there's a reason to emphasize that it's not X, because the Slop Cop website implicitly suggests that it is X.
Removing the aesthetic tells from LLM-generated text won't fix the fact that there's nobody home with opinions and experiences to express. It will just make it take more work for your unsuspecting audience to figure that out.
It seems relevant that a lot of these things were fairly notorious clichés even before LLMs, which just intensified the phenomenon. They were what people tended to do who wanted to sound smart and sophisticated but didn't have a developed voice or anything in particular to say. Indeed, I'm fairly sure this is why LLMs sound like this.
A lot of these things were well-known clichés already before LLMs, used by people who wanted to sound sophisticated but weren't articulate or didn't have anything to say. That's why LLMs sound like that.
The interesting thing is that LLMs sound kind of like LinkedIn Growth Hackers even if you don't explicitly tell them to do that, unless you instead tell them to sound like something else. (And even then, there are still similarities.)
Wow! Did you know that Abraham Lincoln let AI write the Gettysburg Address? 17 patterns identified out of only 305 words. I don't know why I ever let him get the ad revenue.
Try the countless people that are falsely accused of using AI to write something, every day. The “AI cop” movement is pretty ironically being pushed forward in large party by unintelligent people that don’t know how to think.
I'm curious how well this thing works, but you need a yardstick to measure it against. The last year or two a burgeoning community of meatspace AI detectors has emerged right here on HN, it might be fun for someone to rank "sloppiness" of submitted HN articles as gauged by comment sentiment vs. this tool to see how well they align.
Honestly, I get pretty good improvement from just adding a “Emoji are forbidden” and a small list of banned words and phrases (the usual suspects like “it’s not just x, it’s y” etc)
One thing I learned is that AI written text is not hard to spot. Usually, when I meet slop, I close it one or two paragraphs in. Although tools like this will become more common, they usually serve to win an argument, or confirm what you already believe.
Also, it was painful to learn that my very first blog post I wrote in 2013 is AI generated. But I'm fine with it because I read this:
> A short punchy opener (≤10 words) followed by two or more substantially longer elaboration sentences — the LLM "hook then evidence pile" rhythm.
... and realized that the entire app is AI generated.
Being cautious and an autistic mathematician also I am prone to heavy qualification. This causes very large blocks of my writing to be highlighted as "Hedge Stack" which isn't really helpful. Lots of Overused Intensifier and Triple Construction instances also, but those are usually words or phrases, not several paragraphs together as with Hedge Stack.
Seems like a sad situation, but I'm not going to start changing my communication style to avoid sounding like an LLM. At least not yet.
I've been wanting something like this for a while now but as an extension that runs locally. Just something I can click to get a quick response telling me if the article seems like ai so I can focus on the writing without needing to spend energy on remembering ai styles and detecting obvious ai. I'd be pretty happy to see something like that built straight into firefox.
Ultimately slop is so pervasive that I'm wasting a fair amount of time vetting text and it's affecting my ability to simply enjoy reading. I keep getting part way into an article before realizing it's low quality ai writing. Being able to get a quick heads up that it looks like ai before starting would save me a lot of energy even on articles I decide to try reading because it cuts down on mental overhead.
It sounds like you might be overthinking it. Slop is pretty noticeable at a glance, and it doesn't really matter if it is AI slop or human slop. On the other end, I have probably enjoyed an article or two that was made partially or entirely by AI and I'm not sure what the downside is.
I find it funny that all of these little tools lean into the slop = poop dynamic.
I'm building writetrack.dev - a writing signal sdk that helps folks understand proof of process. It takes a different approach to writing analysis and I'm pretty sure the logo will never feature a brown turd.
I'm sure there are some useful applications of this but we can't trust the reliability of an AI detector for the same reasons we can't trust the reliability of AI.
True. This is just an LLM cliché detector, highlighting stylistic habits they're currently prone to. You'll start noticing them everywhere when you internalize the patterns.
This is a confused and misguided project. It makes the mistake of failing to identify why the AI 'style' feels wrong. The author decided to replicate similar tools by breaking down AI writing into bite-sized issues, but it just doesn't work the same way as correcting grammatical errors. Because of this, the author had to really try to find what's so wrong about these patterns in isolation, so all of it comes off as annoying nitpicks. Let's take a look at a few.
> Overused Intensifier - Delete it. If the sentence still makes sense, the word was never needed. If it doesn't, rewrite the sentence to show why it matters.
You heard it here first. Adjectives? More like AIdjectives, a covert plan by AI companies to make our writing more sloppy. According to this recommendation, writing should never have any emphasis, it should only contain the most basic "X is Y" relations, like in some programming language. Sentences should contain the bare minimum amount of information required to parse them, everything else must be cut. In practice, this recommendation only filters a few of the most pervasive 'corporate PowerPoint'-style language, but even then, the suggestion that these words are never useful is wrong.
> Triple Construction - Break the pattern. Use two items or four. Or convert one item into its own sentence to give it more weight.
Humans may really like when things are structured into threes, but you must resist this AI temptation! Use two or four points, because you're not like them. The only reason cited for why this is wrong is that LLMs use this pattern often, so naturally the rest of us must cede good writing practices to them.
> "Almost" Hedge - Commit. "Almost always" → "usually." Or just say "always" and defend the claim. Readers notice when you won't take a stance.
As we all know, the world is discrete and easy to describe. That's why there simply isn't anything between things that happen "usually" (70%) and "always" (100%). Saying "almost always" (95%) is bad, because you should round your estimates and defend what is now an obviously wrong statement, for it makes you seem more brutal and confident.
> "Broader Implications" - State the implication explicitly, or cut the phrase. "This has broader implications" says nothing. What are the implications? Say them.
God forbid you organize an essay that's in any way non-linear, temporarily withholding some information for the sake of organization. Asking to can the phrase entirely says that even complex writing should be strung together in a rigid and sequential order.
That's the problem with the project, the way I see it. It was too heavily inspired by Grammarly and the likes, and in chasing it, the criticisms were adapted to fit the Grammarly model. The issue with that LLM 'style' is the punchy, continuous overuse of these patterns to the point where these phrases start seeming like meaningless sound combinations. There's nothing wrong with most of these patterns individually, what I hate is when text is filled with them to the brim, not when they show at all. If your writing is like the example paragraph, with most of the text highlighted, then it's a sign that your essay is more rhetoric than substance. But if you write an argument with three items in it and it's highlighted because "that's like AI" to make you delete it, then that's performative self-censorship, not improving your writing.
I think this would come off a lot better if the recommendations weren't so absolute. I like the effect of a multicolored slab of highlights calling out every LLM cliche in a passage. Yes, the slop style is not just the sum of these individual patterns, but they're definitely significant contributors to the effect, and they're worth being aware of in your own writing regardless of their association with LLMs. You just can't treat it as a list of must-resolve errors (same as with any writing feedback, really).
The feedback needs to go away or this thing is just exacerbating the problem. Give a slop score if you must but then shut up and let the user interpret the result as they see fit.
Slop is stopped by allowing unique quirks to flourish. Do you speak in 'staccato bursts'? THEN FUCKING WRITE IN STACCATO BURSTS! Do you need a 'throat clearing opener? THEN FUCKING USE ONE!
Human language does not need to take progressive steps toward some universal standard. Having one is fine, in theory, but the beauty lies in how we solve for our inability to consistently utilize it. Adding mechanism to every step removes the beauty. Stop being the problem.
Agreed. I ran some human-authored technical articles through this and most (all?) of the suggestions were just stripping the personality out of the writing. Kind of ironic.
> "In an Era of…" Opening phrase that stalls before reaching the actual argument.
Always gotta have In This AI Era of Ours. Because even if you fail to convince the reader of the point you ostensibly were trying to make you still get to tediously skull-bang about The AI Era. And it only costs tokens.
> Staccato Burst Three or more consecutive very short sentences at matching cadence.
This is real. It’s not your imagination. AI is here and eating your lunch/AI is psychologically draining/The unemployment lines are unusually long.
It looks like tricolon is about specifically three parallel elements, while staccato is about short consecutive sentences, so staccato would be the appropriate name here.
If prompted appropriately, LLMs can write prose that mirrors nearly any style you ask for. Not sure what the big hubbub about "slop" is. Honestly it's annoying.
That isn't really true, though, at least not when actual common usage is considered. As the studies of "Trendslop" have revealed, LLMs aggressively normalize output. What they do is generate content based on averages over large samples. This gives everything from them a strong tendency to revert to the mean from concepts to presentation and style.
LOL. I copied and pasted an 87-word blog post I wrote yesterday, on my phone, via my own thumbs. It detected 4 likely AI patterns, or once every 22 words.
I'm so over this idiocy. It's gotten to the point that the "haha, gotcha!" AI claims are more annoying than AI slop itself. God forbid you use a semicolon or an em dash or an interesting sentence structure to break things up, because someone will be quick to point out the "proof" that it's machine generated.
I've taken to telling people, that if they see me write a long piece, that lacks em-dashes, then they should assume that I am under duress, and send help.
Like the original Grammarly, I think this can be useful for business writing because these tools help you get to the point. Many students are rewarded for using flowery language in school essays, but if you're composing an email or writing a design doc, just optimize for reading time and clarity.
But for general use, I think this is misguided. The problem with LLM output is not that it's using em dashes or words such as "crucial". It's that most LLM articles on LinkedIn or on personal blogs just take a one-sentence prompt and dress it up into a lot of pointless words, wasting everyone's time: "I had a shower thought and I asked a chatbot to write five pages of text about it." I don't need prettier words, I need there to be far fewer of them?
On the flip side, if you're a human and actually have something of consequence to say, "delve" all you want.
Tangential, but I remember when I was studying for the ACT, there was something in one of the practice books that stuck with me. I'm paraphrasing but it was something like "Good writing is clear and easy to understand. It's about communication, make sure you communicate".
It was something that I guess I logically knew but hadn't fully realized. I had always tried to be fancy with my writing and pad it out to meet minimum word counts, with "understand-ability" being somewhat of an afterthought. Just that one statement in my ACT prep book made me, in my opinion, a significantly better writer.
I recommend <https://www.youtube.com/watch?v=vtIzMaLkCaM>, Larry McEnerney’s lecture The Craft of Writing Effectively.
> "I had a shower thought and I asked a chatbot to write five pages of text about it." I don't need prettier words, I need there to be fewer of them?
Always judge an author by the length of their text.
Decades of insights barely condensed into 200 pages? Great! Hours of thought expanded into 200 pages? Very bad.
Same length of text but lands very differently. Same is true for emails, tweets, videos, and even just talking. Say less! But not too little either.
So it’s really about the content; not the metrics.
My mother was British. She was also an awesome cook.
She used to say that the British dining table was the fanciest in the world, with fine china plates, silver silverware, lace tablecloths and matching napkins, etc., but terrible food.
French tables, on the other hand, were casual affairs, with newspaper on the table, and a candle jammed into a wine bottle, but excellent food.
As the saying goes: “If I had more time, I would’ve written a shorter letter”
So many books that could've been an article. I try to save myself time by checking Goodreads but it's not always clear as I'm more critical than the average person. Reading a preview in Google Books helps but you only get so many pages before you're cut off. Appreciate that lately new books are sometimes featured in pubs with an excerpt.
There’s an interesting thought!
For hundreds of years there have been incentives (money) to publish books, and yet in 2026 we still haven’t worked out how to monetarily incentivise authors of single articles without bundling them with articles or other authors you wouldn’t read (because you only care about a single article damnit
So, not in fact the length of the text, which is constant at 200 pages.
As a senior engineer I spend a lot of time reviewing and approving technical designs, PRDs etc.
Over the years the amount of basic copy editing I have to do has really grown. I sometimes feel like I’m removing 20%+ of the text. And that was before LLMs.
Yeah, this comic summarizes the issue pretty well: https://marketoonist.com/2023/03/ai-written-ai-read.html
> Many students are rewarded for using flowery language in school essays
Not to nitpick, but I actually had the opposite experience in uni. My prof docked me marks for my flowery language, and honestly, good for her, my lazy writing style honestly sucks (see how I used "honestly" twice in the same sentence, lol).
Not to take away from your post or anything, just realising I got lucky with my prof. I agree that LLMs produce way too much output when generating writing (and code too!)
In uni, maybe. But my experience in middle/high school was that hitting the minimum word count was much more important than actually good writing.
Flowery language is important but something like BLUF - Bottom Line Upfront[0] is important too.
While it's important for universities to continue to teach the ability to write using 'flowery' language I think that it is also important that schools teach students something like BLUF -- Bottom Line Upfront.[0]
Compare and contrast those two sentences. I'm fine writing a comment that us just the first sentence and the link without a footnote but I know as a message it won't go over well on a site like Hackernews. They looooooove their verbosity here.
So in some situations you have to gussy it up -- give it some of that Emeril "BAM". The deal is that you have to know your audience. The medium is the message.[1] shit like that.
Stuff on Linkedin is full of pointless words because that's what Linkedin is for -- it's about signalling to other people that you can string together a bunch of pointless words that are effusive and vaguely passive aggressive at the same time -- you know, typical business shit.
“Whether in a suit or in a loincloth people are ignorant little thorns cutting into one another. They seem incapable of advancing beyond the violent tendencies which at one time were necessary for survival.”
We can delve into this kinda stuff but really it just comes back to the know your audience and that the medium is the message. Also don't repeat your self.
Definitely don't repeat yourself.
[0] https://en.wikipedia.org/wiki/BLUF_(communication)
[1] https://en.wikipedia.org/wiki/The_medium_is_the_message
>The problem is not X. It's Y.
Your writing style, if not your thoughts, have already been infected by LLM prose.
No. I've been using that construct long before LLMs and I don't think there's anything wrong with it. It allows you to succinctly state the position you're disagreeing with before putting forward another hypothesis. LLMs overuse it for needless emphasis, with the negative example usually reduced to a single word.
It's never been so prevalent as now, it's everywhere. I didn't mean any of this as a bad faith thing, it genuinely is changing how people think, speak, etc. Also, I don't consider hedging or defensive writing or negative definitions succinct (it's not a wall of text, granted) and in ordinary times it did indeed have its place.
Edit: I would add that you literally followed the formula in every respect except for a single word, and IMO LLMs are already changing to avoid the single-word formulation.
This doesn't apply here - I don't think? The article claims X; so it is surely no sin for the post rebutting it to straight up state that X is, in fact, not the case.
The LLM tic, by contrast, has a noticeable tendency to be deployed even when X has never been previously mentioned. It is a valid rhetorical technique, and I assume that's why the LLMs have picked up on it - but it has to be deployed judiciously. Which is something LLMs appear absolutely incapable of doing. And that is why people notice it, and think it sucks.
Anyone over the age of 25 actually developed their writing style before ChatGPT came about. Getting all uppity about these surface-level LLM ‘tropes’ is just stupid. I am thankfully yet to run into a situation where someone with this attitude is actually in a position to be able to negatively affect my life. I’m sure that there’s a correlation. Take the “ew, em-dash” stuff back to Twitter.
Nonsense. It's a common construction that LLMs didn't exactly invent. I don't think their usage evokes LLM writing at all (not short and punchy enough).
Just because LLMs overuse it doesn't mean it doesn't have its place.
The way the OP used the 'not X, but Y' pattern, the 'X' and 'Y' are two clear, specific, and (most importantly) distinct things, as opposed to stereotypical LLM usage where they're vague characterizations or metaphors. And there's a reason to emphasize that it's not X, because the Slop Cop website implicitly suggests that it is X.
Removing the aesthetic tells from LLM-generated text won't fix the fact that there's nobody home with opinions and experiences to express. It will just make it take more work for your unsuspecting audience to figure that out.
How does this site tokenize text? Split on ASCII whitespace?
Inputting Japanese sentences of any length flags the whole sentence as "Dramatic Fragment: A standalone paragraph with ≤4 words".
It seems relevant that a lot of these things were fairly notorious clichés even before LLMs, which just intensified the phenomenon. They were what people tended to do who wanted to sound smart and sophisticated but didn't have a developed voice or anything in particular to say. Indeed, I'm fairly sure this is why LLMs sound like this.
A lot of these things were well-known clichés already before LLMs, used by people who wanted to sound sophisticated but weren't articulate or didn't have anything to say. That's why LLMs sound like that.
Artificial intelligence predates computers.
Indeed,
This is true, although I can still get behind "use fewer cliches" regardless :)
AI is so original that it can’t make cliches out of decently-worn phrases and constructions by itself.
It's just following what the prompt says, something like:
fake prompt> To sound smart, use as much literary tricks from LinkedIn Grow Hackers as possible.
If they prompt asked to sound like Strawberry Shortcake, the AI pudding would be full of berry interesting cooking analogies.
The interesting thing is that LLMs sound kind of like LinkedIn Growth Hackers even if you don't explicitly tell them to do that, unless you instead tell them to sound like something else. (And even then, there are still similarities.)
You don’t know what’s going on in the training process.
Wow! Did you know that Abraham Lincoln let AI write the Gettysburg Address? 17 patterns identified out of only 305 words. I don't know why I ever let him get the ad revenue.
I love how you can tell something was generated because it comes out clear and using many of the important writing fundamentals we were all taught.
This is a genuinely useful tool with a shitty self-sabotaging name.
Name seems fine. Catchy, and I knew what I did before opening link.
And it's unnecessarily rude. Grammarly and Hemingway can identify the same sort of issues without "you are a stupid robot" vibes.
... the problem is it is rude to LLMs? i think they can handle it.
Try the countless people that are falsely accused of using AI to write something, every day. The “AI cop” movement is pretty ironically being pushed forward in large party by unintelligent people that don’t know how to think.
I'm curious how well this thing works, but you need a yardstick to measure it against. The last year or two a burgeoning community of meatspace AI detectors has emerged right here on HN, it might be fun for someone to rank "sloppiness" of submitted HN articles as gauged by comment sentiment vs. this tool to see how well they align.
Project doing something similar: http://slopwash.com
Cleans up content. Less about critiquing and giving feedback, more just “give me the better output”
Honestly, I get pretty good improvement from just adding a “Emoji are forbidden” and a small list of banned words and phrases (the usual suspects like “it’s not just x, it’s y” etc)
Banning bold font and saying to avoid lists and tables as much as possible is an immediate massive improvement to LLM output quality
One thing I learned is that AI written text is not hard to spot. Usually, when I meet slop, I close it one or two paragraphs in. Although tools like this will become more common, they usually serve to win an argument, or confirm what you already believe.
Also, it was painful to learn that my very first blog post I wrote in 2013 is AI generated. But I'm fine with it because I read this:
> A short punchy opener (≤10 words) followed by two or more substantially longer elaboration sentences — the LLM "hook then evidence pile" rhythm.
... and realized that the entire app is AI generated.
gptzero.me is an excellent LLM-authored text detector.
Being cautious and an autistic mathematician also I am prone to heavy qualification. This causes very large blocks of my writing to be highlighted as "Hedge Stack" which isn't really helpful. Lots of Overused Intensifier and Triple Construction instances also, but those are usually words or phrases, not several paragraphs together as with Hedge Stack.
Seems like a sad situation, but I'm not going to start changing my communication style to avoid sounding like an LLM. At least not yet.
I've been wanting something like this for a while now but as an extension that runs locally. Just something I can click to get a quick response telling me if the article seems like ai so I can focus on the writing without needing to spend energy on remembering ai styles and detecting obvious ai. I'd be pretty happy to see something like that built straight into firefox.
Ultimately slop is so pervasive that I'm wasting a fair amount of time vetting text and it's affecting my ability to simply enjoy reading. I keep getting part way into an article before realizing it's low quality ai writing. Being able to get a quick heads up that it looks like ai before starting would save me a lot of energy even on articles I decide to try reading because it cuts down on mental overhead.
It sounds like you might be overthinking it. Slop is pretty noticeable at a glance, and it doesn't really matter if it is AI slop or human slop. On the other end, I have probably enjoyed an article or two that was made partially or entirely by AI and I'm not sure what the downside is.
I find it funny that all of these little tools lean into the slop = poop dynamic.
I'm building writetrack.dev - a writing signal sdk that helps folks understand proof of process. It takes a different approach to writing analysis and I'm pretty sure the logo will never feature a brown turd.
I'm enjoying pasting early 2000's era blog posts in here and learning that they too were LLM slop!
It's not purporting to be an LLM detector. Your 2000s era posts probably do have some sloppy cliches in them.
And it is not impossible the posts ended up in the training corpus.
I'm sure there are some useful applications of this but we can't trust the reliability of an AI detector for the same reasons we can't trust the reliability of AI.
True. This is just an LLM cliché detector, highlighting stylistic habits they're currently prone to. You'll start noticing them everywhere when you internalize the patterns.
But you named it as though it's an AI detector.
This is a confused and misguided project. It makes the mistake of failing to identify why the AI 'style' feels wrong. The author decided to replicate similar tools by breaking down AI writing into bite-sized issues, but it just doesn't work the same way as correcting grammatical errors. Because of this, the author had to really try to find what's so wrong about these patterns in isolation, so all of it comes off as annoying nitpicks. Let's take a look at a few.
> Overused Intensifier - Delete it. If the sentence still makes sense, the word was never needed. If it doesn't, rewrite the sentence to show why it matters.
You heard it here first. Adjectives? More like AIdjectives, a covert plan by AI companies to make our writing more sloppy. According to this recommendation, writing should never have any emphasis, it should only contain the most basic "X is Y" relations, like in some programming language. Sentences should contain the bare minimum amount of information required to parse them, everything else must be cut. In practice, this recommendation only filters a few of the most pervasive 'corporate PowerPoint'-style language, but even then, the suggestion that these words are never useful is wrong.
> Triple Construction - Break the pattern. Use two items or four. Or convert one item into its own sentence to give it more weight.
Humans may really like when things are structured into threes, but you must resist this AI temptation! Use two or four points, because you're not like them. The only reason cited for why this is wrong is that LLMs use this pattern often, so naturally the rest of us must cede good writing practices to them.
> "Almost" Hedge - Commit. "Almost always" → "usually." Or just say "always" and defend the claim. Readers notice when you won't take a stance.
As we all know, the world is discrete and easy to describe. That's why there simply isn't anything between things that happen "usually" (70%) and "always" (100%). Saying "almost always" (95%) is bad, because you should round your estimates and defend what is now an obviously wrong statement, for it makes you seem more brutal and confident.
> "Broader Implications" - State the implication explicitly, or cut the phrase. "This has broader implications" says nothing. What are the implications? Say them.
God forbid you organize an essay that's in any way non-linear, temporarily withholding some information for the sake of organization. Asking to can the phrase entirely says that even complex writing should be strung together in a rigid and sequential order.
That's the problem with the project, the way I see it. It was too heavily inspired by Grammarly and the likes, and in chasing it, the criticisms were adapted to fit the Grammarly model. The issue with that LLM 'style' is the punchy, continuous overuse of these patterns to the point where these phrases start seeming like meaningless sound combinations. There's nothing wrong with most of these patterns individually, what I hate is when text is filled with them to the brim, not when they show at all. If your writing is like the example paragraph, with most of the text highlighted, then it's a sign that your essay is more rhetoric than substance. But if you write an argument with three items in it and it's highlighted because "that's like AI" to make you delete it, then that's performative self-censorship, not improving your writing.
Yeah, "don't overuse these patterns" is the right attitude for tools like this, not "fix all mistakes". And that's OK?
I think this would come off a lot better if the recommendations weren't so absolute. I like the effect of a multicolored slab of highlights calling out every LLM cliche in a passage. Yes, the slop style is not just the sum of these individual patterns, but they're definitely significant contributors to the effect, and they're worth being aware of in your own writing regardless of their association with LLMs. You just can't treat it as a list of must-resolve errors (same as with any writing feedback, really).
The LLM Prose Tells and wiki page linked in the readme was a fun read. https://github.com/awnist/slop-cop?tab=readme-ov-file#source...
The feedback needs to go away or this thing is just exacerbating the problem. Give a slop score if you must but then shut up and let the user interpret the result as they see fit.
Slop is stopped by allowing unique quirks to flourish. Do you speak in 'staccato bursts'? THEN FUCKING WRITE IN STACCATO BURSTS! Do you need a 'throat clearing opener? THEN FUCKING USE ONE!
Human language does not need to take progressive steps toward some universal standard. Having one is fine, in theory, but the beauty lies in how we solve for our inability to consistently utilize it. Adding mechanism to every step removes the beauty. Stop being the problem.
Agreed. I ran some human-authored technical articles through this and most (all?) of the suggestions were just stripping the personality out of the writing. Kind of ironic.
> "In an Era of…" Opening phrase that stalls before reaching the actual argument.
Always gotta have In This AI Era of Ours. Because even if you fail to convince the reader of the point you ostensibly were trying to make you still get to tediously skull-bang about The AI Era. And it only costs tokens.
> Staccato Burst Three or more consecutive very short sentences at matching cadence.
This is real. It’s not your imagination. AI is here and eating your lunch/AI is psychologically draining/The unemployment lines are unusually long.
>Staccato Burst.
Now I have a name for the thing I despise the most about AI writing.
Isn't this called the tricolon? Ironically the names of the patterns all seem AI generated.
It looks like tricolon is about specifically three parallel elements, while staccato is about short consecutive sentences, so staccato would be the appropriate name here.
I don't understand the point of this. Terse writing isn't always necessarily better or something that LLMs are incapable of.
This doesn't detect AI slop. It's just a grammarly/copilot clone.
If prompted appropriately, LLMs can write prose that mirrors nearly any style you ask for. Not sure what the big hubbub about "slop" is. Honestly it's annoying.
That isn't really true, though, at least not when actual common usage is considered. As the studies of "Trendslop" have revealed, LLMs aggressively normalize output. What they do is generate content based on averages over large samples. This gives everything from them a strong tendency to revert to the mean from concepts to presentation and style.
LOL. I copied and pasted an 87-word blog post I wrote yesterday, on my phone, via my own thumbs. It detected 4 likely AI patterns, or once every 22 words.
I'm so over this idiocy. It's gotten to the point that the "haha, gotcha!" AI claims are more annoying than AI slop itself. God forbid you use a semicolon or an em dash or an interesting sentence structure to break things up, because someone will be quick to point out the "proof" that it's machine generated.
It isn’t an AI detector. It flags valid language patterns that have become LLM-output clichés through overuse. False positives are a given.
and I'll never give up on em dashes
I've taken to telling people, that if they see me write a long piece, that lacks em-dashes, then they should assume that I am under duress, and send help.
You want me to enter my api key into a website?
Yes, I see the message about it staying local. No, I don't trust the message or that you will never be hacked.
Run it locally, Github is linked on the bottom left:
https://github.com/awnist/slop-cop