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$superaibullshit

Words that make you sound like AI

Every tell this site checks, in plain english, with what to write instead.

This is the complete rule set. Nothing is held back and there is no premium list. Any detector that will not show you its reasoning is asking you to trust a number it cannot justify, so here is all of it: 18 phrase rules, 19 structural patterns, and 8 whole-document measurements.

A flag is not a verdict. Good writers use em dashes and triads and the occasional “robust”. What matters is density: one of these is a word choice, fifteen is a fingerprint. And none of it identifies an author, for reasons laid out on why detectors lie.

PHRASE RULES

Vocabulary that appears far more often in generated text than in human writing. Matched case-insensitively on word boundaries, longest phrase first.

  • loud

    Delve family

    The single most over-fitted verb in machine-generated prose. Real people almost never say "delve" out loud, and its frequency in published text jumped off a cliff in 2023.

    Use "dig into", "look at", "get into", or just delete the framing and make the point.

    delvedelvesdelvingdeep divedeep-divedive deepdive intodiving intolet's dive inlets dive in

  • loud

    Mystical inflation

    Grand metaphor dropped on an ordinary subject. A pricing page is not a tapestry. This is the register a model reaches for when it has nothing specific to say.

    Cut the metaphor and state the literal thing. If the sentence dies without it, the sentence had no content.

    tapestryrich tapestrybeaconbeacon ofsymphonya testament tostands as a testamenttreasure troveembark on a journeyembark onrealmin the realm ofthe realm ofkaleidoscopecruciblelabyrinth of

  • loud

    Scene-setting opener

    Pure throat-clearing. It establishes no fact, names no subject, and could open an article about literally any topic.

    Delete the entire clause. Start at the first sentence that says something only your piece could say.

    in today's fast-pacedin a fast-pacedin today's digital agein today's worldin today's businessin the modern erain an increasinglyin our increasinglyin today's competitivenow more than ever

  • loud

    Ever-evolving

    A filler adjective that asserts change without describing any. Everything is evolving. This tells the reader nothing.

    Name what actually changed and when, or drop the modifier.

    ever-evolvingever evolvingever-changingever changingrapidly evolvingconstantly evolvingrapidly changing

  • loud

    Landscape metaphor

    Spatial metaphor standing in for a real noun. "The marketing landscape" is just "marketing" wearing a hat.

    Delete the metaphor. "The competitive landscape" becomes "competitors".

    landscapethe landscape ofin the world ofthe world ofin the sphere ofin the arena ofecosystem

  • loud

    Worth noting

    If it is worth noting, note it. This construction spends a full clause announcing that a fact is coming instead of delivering the fact.

    Delete the phrase and keep the sentence that follows it.

    it's worth notingit is worth notingit's worth mentioningit is worth mentioningit's important to noteit is important to noteit's important to considerit is important to considerit should be notedit bears mentioningit's crucial to understandit is crucial to understand

  • loud

    Filler transitions

    Connective tissue with no logical work to do. Models emit these to signal structure they have not actually built. "Furthermore" in particular is near-extinct in natural speech.

    Delete it. If the next sentence genuinely reverses the previous one, "but" does the job.

    furthermoremoreoveradditionallyin conclusionto summarizein summarythat being saidthat saidhere's the thingthe reality iswhat's morein essenceultimatelynotablyimportantlyconsequentlythusto that endwith that in mindall in all

  • medium

    Corporate verbs

    Latinate verbs chosen over plain ones. Models over-select these because they appear disproportionately in the corporate text they were trained on.

    leverage to use. utilize to use. facilitate to help or run. foster to build or encourage. empower to let or enable.

    leverageleveragingleveragesutilizeutilizingutilizesutilizationfacilitatefacilitatesfacilitatingfosterfostersfosteringharnessharnessingempowerempowersempoweringstreamlinestreamlinesstreamliningspearheadideateoperationalizeincentivizesynergize

  • medium

    Inflated adjectives

    Importance asserted rather than demonstrated. These words are load-bearing nowhere: strike any one of them and the sentence keeps its meaning.

    Delete it, or replace it with the specific quality you mean. "Robust error handling" becomes "retries three times, then logs and alerts".

    robustcomprehensivecrucialvitalpivotalparamountseamlessholisticmultifacetednuancedintricateprofoundunparalleledunwaveringcutting-edgecutting edgestate-of-the-artstate of the artinnovativedynamicversatiletransformativegroundbreakingrevolutionaryinvaluablemeticulousmeticulouslyunprecedentedremarkable

  • medium

    Growth-deck verbs

    Language from a pitch deck rather than a description of reality. Promises magnitude, supplies none.

    Replace with the measurable outcome. "Supercharge your workflow" becomes "cuts the review step from two days to one".

    revolutionizerevolutionizingunlock theunlock yourunlock the potentialunleashunleashingelevate yourelevate thesuperchargeturbochargelevel upto the next levelpave the waypaving the wayusher inat the forefrontgame-changergame changergame-changing

  • medium

    Stacked hedging

    Two hedges doing one hedge's job. "Could potentially" is "could". The doubling is a model avoiding commitment rather than expressing genuine uncertainty.

    Keep one hedge or none. State the claim and let the reader judge it.

    could potentiallymay potentiallymight potentiallyit could be arguedone could argueone might argueone might saysome would saysome might sayit seems thatit appears thatto some extentin many waysmore often than notgenerally speakingfor the most part

  • medium

    Quantity slop

    A vague gesture at volume where a number belongs.

    Use the actual count. "A myriad of options" becomes "nine options".

    plethoraa plethora ofmyriada myriad ofa wealth ofa host ofan array ofa vast arraya wide range ofcountlessnumerous

  • medium

    Announcement filler

    A sentence about the sentence you are about to read. Ceremony instead of content.

    Cut it and open with the actual point.

    rest assuredlook no furtherbuckle upwithout further adoneedless to saylet that sink inthe bottom line islet's face itmake no mistake

  • medium

    Importance verbs

    Meta-commentary about significance rather than the substance itself. The reader wanted the finding, not a note that the finding is significant.

    State the thing directly. "This underscores the importance of testing" becomes "so test it".

    shed light onsheds light onunderscoreunderscoresunderscoringhighlights the importanceunderscores the importanceplays a crucial roleplays a vital roleplays a key roleserves as astands asboastsdelivers onspeaks volumes

  • medium

    Navigate the complexities

    Motion verb applied to an abstraction. Nobody navigates a complexity, they just deal with a specific hard thing.

    Name the specific hard thing and what you do about it.

    navigate the complexitiesnavigating the complexitiesnavigate the challengesnavigate thenavigating thethe complexities of

  • faint

    Artisanal filler

    Implies human care while being the exact phrasing a model reaches for. The irony is doing heavy lifting here.

    Say who chose it and on what basis, or drop the word.

    curatedcarefully curatedhandpickedhand-pickedbespoketailored to your needsthoughtfully designedlovingly craftedcrafted

  • faint

    Meeting speak

    Vocabulary imported from meetings nobody enjoyed.

    Say the plain version. "Align with" becomes "match" or "agree with".

    resonateresonates withresonatedalign withalignmentsynergytouch basecircle backmove the needlelow-hanging fruitboil the oceandouble-click onunpack that

  • faint

    Solutions and offerings

    Abstract plural nouns standing in for the actual product or action.

    Name the thing. "Our solutions" becomes "our two apps".

    solutionsofferingscapabilitiesverticalstouchpointslearningsdeliverables

STRUCTURAL PATTERNS

Shapes rather than words. These survive paraphrasing, which makes them more reliable than any vocabulary list, and they are what people are reacting to when they say something “feels” AI-written without being able to point at a word.

  • loud

    The contrastive reframe

    It's not just a chair. It's a statement.

    The "It is not X. It is Y." pivot. This is the most reliable structural fingerprint of generated prose. It manufactures the feeling of insight by setting up a straw version of the point and then knocking it down, without adding a single fact.

    State Y directly and delete the X half entirely. If Y cannot stand alone, there was no insight.

  • loud

    Contrastive reframe (this-variant)

    This isn't a product update. This is a new way of working.

    Same reframe pivot, "This is not X, this is Y" wording. Adds emphasis, adds no information.

    Keep the second half. Delete the setup.

  • loud

    Not because X, but because Y

    We won, not because we were lucky, but because we prepared.

    A causal version of the same reframe. Two clauses to deliver one reason.

    Give the actual reason once.

  • loud

    No X. No Y. Just Z.

    No fluff. No filler. Just results.

    Staccato triple negation into a punchline. Reads like ad copy generated for a product that does not exist yet.

    Write one sentence describing what it does.

  • loud

    It is not about X, it is about Y

    It isn't about the money, it's about respect.

    Reframe in its most self-satisfied form. Almost always precedes a platitude.

    Delete the whole construction and make a concrete claim.

  • loud

    Rhetorical question opener

    Have you ever wondered why your team keeps missing deadlines?

    Opens by asking the reader a question instead of telling them something. The house style of content farms, and the first thing a model produces when told to write an introduction.

    Open with your most specific claim. Trust that it is interesting.

  • loud

    At its core

    At its core, leadership is about trust.

    Announces that an essential truth follows. What follows is generally a restatement of the paragraph above.

    Delete the phrase. Keep the claim only if it is new.

  • loud

    Model self-reference

    As an AI language model, I don't have personal opinions.

    Not a stylistic tell. This is the model talking about itself, left in the text unedited.

    Delete it. Then read the rest of the document, because it was probably not read at all.

  • loud

    Assistant preamble

    Certainly! Here's a revised version of your email.

    The leftover reply preamble from a chat interface. Somebody pasted and did not proofread.

    Delete the entire first line.

  • medium

    Not just X, but Y

    Not just faster, but smarter.

    The compressed reframe. Common in human writing too, but heavily over-produced by models.

    Often fine in moderation. If it appears more than once in a page, cut all but the strongest.

  • medium

    More than just

    We're more than just a bakery.

    Sets up a comparison the sentence never resolves.

    Describe what it is. Drop the comparison.

  • medium

    Not only, but also

    It not only saves time but also reduces errors.

    A formal correlative pair that models reach for constantly and speakers essentially never use.

    Split into two sentences, or use "and".

  • medium

    One-word rhetorical pivot

    The result? A forty percent lift in engagement.

    A fake question used as a paragraph hinge. Punchy the first time, mechanical by the third.

    Replace with a normal sentence, or just start the next sentence.

  • medium

    Let us break it down

    Let's break it down.

    Narrating the structure of the piece instead of writing the piece.

    Delete it and start the explanation.

  • medium

    Whether you are X or Y

    Whether you're a solo founder or running a global team...

    Audience-hedging so the text applies to everybody, which means it was written for nobody.

    Pick the single reader you are writing for and address them.

  • medium

    Emoji bullet

    🚀 Ship faster

    Decorative emoji leading a list item. A default habit of chat models formatting for readability.

    Remove it. A dash is enough.

  • faint

    From X to Y sweep

    From onboarding to offboarding, we handle the whole lifecycle.

    A range used to imply comprehensiveness without committing to specifics.

    Name the two or three cases you actually mean.

  • faint

    Em dash

    The plan was simple — until it wasn't.

    Plenty of good writers use em dashes, so this alone proves nothing. What is suspicious is the rate: generated text uses them two to five times more often than human text, and almost always for emphasis rather than interruption.

    Most can become a comma, a colon, or a full stop. Keep the ones that mark a genuine interruption.

  • faint

    Bold label colon

    **Scalability**: the system grows with you.

    Every list item opening with a bolded label and a colon. Structurally tidy in a way humans rarely sustain.

    Fine occasionally. If every bullet does it, rewrite a few as plain sentences.

MEASUREMENTS

Statistics over the whole document. This is the part doing real work, because rhythm and repetition survive editing that swaps out every flagged word.

  • Sentence rhythm

    Standard deviation of sentence length, in words.

    The strongest single signal on this page, and the hardest to fake. People write a four-word sentence, then a thirty-word one, then something in between, because they are thinking while they type. Generated text settles into a narrow band and stays there. A standard deviation under about four words across a decent sample is a loud result.

  • Contractions

    Contractions per hundred words.

    Models drift formal by default, and formal means "do not" instead of "don't". Important caveat: plenty of legitimate registers avoid contractions entirely, so if you are checking a legal filing or an academic paper, ignore this row. In anything conversational, zero contractions is telling.

  • Trailing summaries

    Paragraphs whose final sentence mostly recycles words already used in that paragraph.

    Models are trained to sound complete, so they close paragraphs by restating them. The tell is a last sentence that introduces no new content words. Delete those sentences and nothing is lost, which is the proof they were never needed.

  • Parallel openers

    Runs of three or more consecutive sentences or bullets starting with the same word.

    Anaphora is a real rhetorical device when it is chosen. It is something else when it happens because the generator found a groove and stayed in it. Three in a row is the threshold where intent stops being the likely explanation.

  • Lexical diversity

    Moving-average type-token ratio, fifty-word window.

    Measures how much the vocabulary repeats within short stretches, and unlike a raw ratio it is not distorted by document length. Generated text orbits a small set of nouns, because a model predicting the most probable next word will often land on a word it already used.

  • Average sentence

    Mean sentence length in words.

    Weak on its own, which is why it is worth few points. Models tend to settle between seventeen and twenty-four words. It matters mainly as confirmation when the rhythm measure has already fired.

  • -ly adverbs

    Adverbs per hundred words.

    Adverbs let a sentence sound precise without committing to a stronger verb. "Significantly improved" instead of "doubled". Heavy adverb load usually means the writing is hedging about magnitude.

  • Rule of three

    Density of "X, Y, and Z" constructions.

    Triads feel rhetorically finished, so models overproduce them. The giveaway is the third item: it is often a near-synonym of the second, added for rhythm rather than meaning.

HOW THE SCORE IS BUILT

Phrase and pattern flags are weighted by loudness, one point for loud, six tenths for medium, three tenths for faint. That total is divided by word count so a long document is not punished for being long, then scaled and capped at sixty points.

The measurements contribute their own penalties, capped together at fifty-five. The two halves are added and clamped to a hundred.

Which means a document can reach sixty on vocabulary alone, or hit the ceiling by doing both. Under seventy-five words the statistics are noise and the tool says so rather than pretending otherwise.

There is no model here, no training data, and no randomness. The same text always produces the same score.