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Signs of AI Writing

Paste your text and a free, private, in-browser checker highlights the signs: em dashes, triads, AI vocabulary, hedged commentary, formal transitions, and other pattern signals that make a draft read generated.

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Runs locally · first-pass cleanup of common AI tells · review before publishing.
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These are pattern signals, not proof of AI authorship. Good human writers use em dashes, triads, and formal transitions too. This checker is not built to trick Turnitin, GPTZero, or any other AI detector. Use it to make an AI-assisted draft clearer, more specific, and more natural before a real person reads it.

em-dash density overused AI words rule of three not only / but also not just / it is worth noting world / realm / landscape openers moreover / furthermore whether you are / or dive in game-changer cliches in conclusion
Pattern guide

The signs to look for, and how to fix them

The checker highlights the surface patterns it can detect. The guide below explains those signals, plus deeper content problems that need human judgment.

No single sign proves anything. The stronger signal is a cluster: the same draft uses a grand opener, three em dashes, a triad, a “not just X, it is Y” flourish, vague authority, and a generic conclusion. At that point the issue is not whether a model helped. The issue is that the writing has become predictable.

1. Em-dash overuse

L1: emdash

What it isLong dashes used as all-purpose glue: to add asides, heighten contrast, or avoid choosing between a comma, colon, and period.

Why AI does itModels learn that the em dash makes prose feel polished and flexible. It lets a sentence keep going even when the thought should be split.

ExampleThe update is fast — really fast — and easy to use.
The update is fast and easy to use.

How to fixKeep an em dash when it creates a useful interruption. Otherwise use a period, comma, colon, or nothing. If a short paragraph has several, cut first. Deep dive: why AI uses em dashes.

2. Overused AI vocabulary

L1: overused

What it isWords that appear too often in generated prose: delve, tapestry, realm, landscape, leverage, robust, seamless, nuanced, foster, unlock, navigate, underscore.

Why AI does itThese words are common in the polished, explanatory writing models train on. They sound elevated without requiring a precise claim.

ExampleLet’s delve into the rich tapestry of this ever-evolving realm.
Let’s look at what changed and why it matters.

How to fixReplace inflated words with the plain verb you mean: use, show, build, change, handle, improve. If the plain word feels weak, add a concrete detail.

3. The rule of three

L1: ruleof3

What it isRepeated three-part lists: clear, concise, and compelling; fast, secure, and reliable; inform, engage, and inspire.

Why AI does itTriads are a safe rhetorical pattern. They create rhythm and completeness, so models reach for them even when two items would be sharper.

ExampleThe tool is simple, powerful, and intuitive.
The tool is simple enough to use without a setup call.

How to fixAsk which item carries real meaning. Keep that one, combine overlap, or replace the list with proof. One triad is fine; a cluster reads generated.

4. Negative parallelism

L1: notonly + negparallel

What it isBalanced contrast formulas: not only X but also Y, or it is not just X, it is Y. They sound dramatic even when the contrast is fake.

Why AI does itThe pattern gives a sentence a built-in arc. It turns a plain claim into a little performance, which models often mistake for depth.

ExampleIt is not just a writing tool, it is a movement toward authentic expression.
It helps writers clean up stiff drafts.

How to fixState the claim directly. If there is a real contrast, name the two sides clearly. If there is no contrast, delete the setup.

5. Hedging and meta-commentary

L1: worthnoting

What it isThroat-clearing phrases such as it is worth noting, it is important to remember, no discussion would be complete without, and keep in mind.

Why AI does itModels often announce a point before making it. The phrase buys time and softens the claim, but it rarely adds information.

ExampleIt is worth noting that clear onboarding improves retention.
Clear onboarding improves retention.

How to fixCut the preface and read the sentence again. If the claim now feels unsupported, add evidence instead of another hedge.

6. Grand openers about a world, realm, age, or landscape

L1: inrealm

What it isScene-setting intros such as in today’s fast-paced world, in the realm of marketing, or in the ever-evolving digital landscape.

Why AI does itWhen the model has no specific opening fact, it starts with a broad frame that can fit almost any topic.

ExampleIn today’s fast-paced digital landscape, teams must adapt.
Teams now ship product updates weekly, not quarterly.

How to fixOpen with the real subject: a person, number, decision, constraint, or concrete change. Skip the atmospheric runway.

7. Stacked formal transitions

L1: transitions

What it isMoreover, Furthermore, Additionally, Consequently, and Nevertheless used to stitch together sentences that already follow each other.

Why AI does itTransitions make output appear organized. A model may add them even when the relationship between ideas is obvious or weak.

ExampleMoreover, the dashboard is easy to read. Furthermore, it updates quickly.
The dashboard is easy to read and updates quickly.

How to fixUse a transition only when it tells the reader how the next idea changes the argument. Otherwise cut it or use a plain connector like also or but.

8. Audience-spanning “whether you are... or...” setups

L1: whether

What it isA broad opener that tries to include every reader: whether you are a beginner or an expert, a founder or a marketer, a student or a professional.

Why AI does itThe construction is safe marketing copy. It avoids choosing a real audience and gives the paragraph a familiar shape.

ExampleWhether you are a seasoned editor or a curious beginner, this guide can help.
If you edit AI drafts before publishing, start here.

How to fixName the actual reader. If the audience is mixed, write the specific job the page helps them do.

9. “Let’s dive in” filler

L1: divein

What it isEnergetic filler such as let’s dive in, dive deep into, or diving into the world of. It usually delays the first useful sentence.

Why AI does itAssistant-style writing often tries to sound helpful and upbeat before doing the work. Dive in is a common default.

ExampleLet’s dive deep into the key signs of AI writing.
Here are the signs to check first.

How to fixStart with the content. If you want momentum, use a short sentence that points to a real action.

10. Promotional or inflated language

L1: gamechanger

What it isMarketing cliches such as game-changer, next-level, state-of-the-art, revolutionary, cutting-edge, and ever-evolving.

Why AI does itThese phrases sound positive without making a measurable claim. They help the model fill space when it lacks evidence.

ExampleThis game-changing platform unlocks next-level productivity.
This platform cuts weekly reporting from two hours to 20 minutes.

How to fixReplace praise with a fact. Say what changed, for whom, and by how much. If you cannot prove it, lower the claim.

11. Signposted or generic conclusions

L1: conclusion

What it isWrap-ups that start with in conclusion, in summary, all in all, overall, or at the end of the day, then restate the obvious.

Why AI does itModels are trained to complete the assignment cleanly. A signposted conclusion creates closure even when nothing new is being said.

ExampleIn conclusion, AI writing has many signs that are important to understand.
The quickest check is a cluster: dashes, triads, vague claims, and generic wrap-up.

How to fixEnd with the next decision, a sharp takeaway, or the strongest detail. If the last paragraph only summarizes, cut it.

12. Paragraphs with the same shape every time

Human review

What it isParagraphs that all run three to five sentences, use the same rhythm, and make one safe point before moving on.

Why AI does itMany assistants are optimized for tidy, skimmable output. The result can be readable but oddly even, with no burstiness.

ExampleEach section begins with a topic sentence. Each section adds two balanced details. Each section ends with a mild takeaway.
Break the rhythm. Use a short paragraph when the point is short.

How to fixVary length on purpose. Combine thin paragraphs, split overloaded ones, and let important moments take a different shape.

13. Superficial -ing analysis

Human review

What it isSentences that tack on a present-participle phrase: highlighting its importance, reflecting its legacy, showcasing its impact, contributing to broader change.

Why AI does itThe phrase lets the model sound analytical without proving causation or naming who made the judgment.

ExampleThe campaign expanded nationwide, highlighting its cultural importance.
The campaign expanded to 18 states after local chapters raised $2.4M.

How to fixAsk what the -ing phrase actually adds. Replace vague significance with a concrete effect, source, or measurable result.

14. Vague attribution

Human review

What it isAuthority without a source: studies show, experts agree, critics say, many believe, it is widely recognized.

Why AI does itModels can imitate sourced prose while skipping the hard part: naming the study, expert, critic, date, sample, or quote.

ExampleStudies show that users prefer more authentic writing.
In our 42-response support survey, users called shorter replies easier to trust.

How to fixName the source or remove the claim. If the evidence is weak, make the sentence smaller and more honest.

15. Sycophancy and agreeable openings

Human review

What it isOver-validating language: great question, you are absolutely right, this is a brilliant insight, or a response that agrees before checking facts.

Why AI does itAssistants are often rewarded for being pleasant and affirming. In writing, that can turn into flattery instead of judgment.

ExampleYou are absolutely right to say this strategy is flawless.
The strategy has one strong point and two risks to check before launch.

How to fixRemove praise that does no work. Replace it with the actual evaluation: what is true, what is uncertain, and what should change.

16. No sensory or concrete detail

Human review

What it isWriting that stays abstract: experience, impact, innovation, value, transformation, solution. It never names the room, object, user, number, date, or constraint.

Why AI does itWithout real context, the model predicts safe generalities. The prose sounds fluent but could apply to almost anything.

ExampleThe product creates a seamless experience for modern teams.
The app saves the last three drafts and warns the editor before overwriting one.

How to fixAdd one observable detail per paragraph: a number, proper noun, quote, action, tradeoff, object, or moment that could not fit every topic.

Before and after

What a natural rewrite changes

The goal is not to hide. The goal is to make the draft specific enough that a reader can trust it.

Before

In today’s fast-paced digital landscape, it is worth noting that AI has become a true game-changer. Let’s delve into how this ever-evolving technology can help teams navigate the complex realm of modern writing. It is not just a tool — it is a testament to human ingenuity.

Signs: grand opener, worth noting, game-changer, delve, ever-evolving, realm, negative parallelism, em dash.
After

AI can help a team turn a rough outline into a usable first draft. The edit still matters: remove stock phrases, check every claim, and add the examples only your team would know.

Changed: cut filler, replaced hype with a concrete workflow, split the sentence, added a human review step.
Before

The initiative received attention from several observers, highlighting its growing importance and showcasing the organization’s commitment to innovation. Studies show that this type of solution can foster engagement, improve outcomes, and unlock new possibilities.

Signs: vague attribution, superficial -ing analysis, AI vocabulary, rule of three, inflated language.
After

Three local reporters covered the pilot after the first 200 residents signed up. The useful result was narrower than the press release claimed: support tickets dropped 18% during the first month.

Changed: named who noticed, added numbers, narrowed the claim, removed generic praise.
  • replace vague praise with evidence
  • cut throat-clearing
  • break formulaic rhythm
  • name the real reader
  • add one concrete detail

Keep going from here

For the full pattern hub, use the AI Writing Patterns guide. To run the checker from the homepage, open Blader Humanizer and paste your draft.

Related spoke pages can go deeper on individual signs later: em dash overuse, why AI uses the rule of three, overused words like delve, and how to replace vague attribution with evidence.

Check a draft before it goes out

Paste it, run Detect Patterns, then edit the highlighted phrases until the writing says something specific.

Signs of AI Writing (with a Free Checker) — Blader Humanizer