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The AI Tells Reference Sheet, September 2026

This is the reference sheet I use to review my own drafts for machine-written prose. Note that almost nothing described here is wrong in isolation; the tests in §1 are what turn a word into a finding. Moreover, today’s AI tells may not be the same as tomorrow’s. With those caveats, I present to you my “AI Tells Reference Sheet”:

1. Judgment tests

Test Question
Density How often does it recur? Ignore one “robust” in 2,000 words; flag three in a paragraph.
Precision Is the word doing specific work, or inflating?
Voice Would this author plausibly have written the sentence?
Cadence Is the tell a repeated form (not a repeated word)? Count it across the whole piece; report the pattern once

Severity: High = hard tells (contrast scaffold, “delve,” “impact” as a verb, a confirmed cadence pattern, anything in §2). Medium = defensible words in telltale clusters. Low = borderline, worth a look.

A clean text proves nothing. Only one category (§9) is conclusive on a single hit.

2. Always flag

Pattern Fix
“actually,” “genuinely,” “honestly” (intensifiers) Cut
“carries” (weight, meaning, significance) Show what it does
“deploy” (outside software/military) “use,” “apply”
“does real work” Say what it accomplishes
“earns” (its place, its keep) Show the value or cut
“impact” as a verb “affect,” “change,” or name the effect
“is real” (“the tension is real”) State the consequence
“is worth” (noting, considering) Make the point
“matters” (“context matters”) Name the stakes
“the move” / “a move” (metaphorical) Name the action

3. Vocabulary

Word tells date. The 2023–24 set is weaker evidence now; the mid-2025-onward set is quieter and current.

Current generation (2025–26)

Pattern Fix
“quietly” (building, transforming); “deeply,” “fundamentally” Cut; if unannounced, say who missed it
“shape” (the future, how we think) Name what changed and why
“shift” (in thinking, toward) “change,” or the specific verb
“signal” (send a signal, a strong signal) Say what was communicated, to whom
“compound” (decisions, benefits) “add up,” or the rate
“land”/“lands” (the argument landed) “works,” “persuades”
“pull” (the pull of, feel the pull) Name the incentive or person
“hold” (space, the line) Say what the person does
“emphasizing,” “enhance,” “highlighting,” “showcasing” “stress,” “improve,” “show”
“the work” (do the work, trust the work) Name the task
“every time” (as emphatic tag) State the rule once
“you already have” / “you already do” Name the practice and how it transfers
“built different” / “built to last” Name the design choice
“significant,” “increasingly,” “consequences,” nominalizations Short word; verb form (“grew,” not “experienced growth”)

Persistent (all eras)

Cluster Examples Fix
Importance inflation crucial, vital, pivotal, essential, key (insight/takeaway) Demonstrate or downgrade
Hype game-changer, transformative, revolutionary, seamless, robust (outside engineering), elevate Describe the change
Corporate verbs leverage, streamline, empower, harness, unlock, foster, ensure (clustered), synergy “use,” or the mechanism
Quest framing journey, embark on, navigate, dive into / deep dive “process,” “start,” “handle”
Spatial filler in the realm/world/landscape of, “the AI landscape,” at its core Cut
Quantity filler myriad, a plethora of, a wide range of, comprehensive, holistic “many,” or the number
Complexity praise intricate, nuanced, multifaceted Name the complication
Discourse verbs underscore, highlight, illuminate, shed light on, explore (as filler) “explain,” “show,” or state the thesis
Padding serves as, stands as, that being said, to put it simply, additionally/furthermore/moreover (stacked) “is”; “But”; cut
Audience flattery “whether you’re a X or a Y” Address the reader
Legacy language watershed moment, indelible mark, lasting legacy, continues to captivate, a testament to Concrete events and dates

Dated (2023–24, still catches pasted or imitated text)

delve, tapestry, intricate, meticulous, boasts, testament, vibrant, “in today’s fast-paced world.”

4. Constructions

Pattern Example Fix
Contrast scaffold “It’s not X. It’s Y.” / “not just X, but Y” Assert Y; at most one per piece
Negative parallelism “No fluff. No filler. Just results.” One plain sentence
Antithesis overload “not only/but also,” “on the one hand/on the other,” more than twice Vary sentence logic
Neat juxtaposition Mirror-image clauses (“catches what the tool got wrong, not what it never saw”) Keep one; make the second clause add information
Rule-of-three padding “clear, concise, and compelling” Cut to distinct items
Compulsive counting “three reasons why,” “the four things that matter” Drop the count
Trailing participial tack-on “…, highlighting the importance of X” / “…, reflecting a broader trend” Delete, or promote to a supported sentence
Comma-clipped tail “It’s a good rule, in theory.” / “They shipped it, eventually.” Fold in or commit
Question pivot “The result? …” / “The catch? …” State the result
Suspense pivot “Here’s the thing.” / “And here’s where it gets interesting.” Cut
Engagement bait “Let that sink in.” / “Read that again.” Cut
Abstraction as equation “The tension is the point.” / “That’s the real question.” Ask the question or point at the thing
Invented concept label “the supervision paradox,” “workload creep” Replace with the claim; support it
Unnamed-truth claim “the part nobody acknowledges,” “to name it plainly” State the point
Unearned universal “nobody talks about this,” “everyone gets this wrong” Specific, defensible claim
False range “from innovation to cultural transformation” List the items
Despite-challenges formula “Despite criticism, X remains widely respected.” Specifics, or pick one half
Both-sidesing “While X has advantages, it also has drawbacks” Take the position the evidence supports
Compliment sandwich “Great point! That said…” Say what’s wrong
Vague authority “Experts argue,” “Observers have noted” Name the source or drop it
Unquoted sources No named person quoted anywhere in a piece that gestures at expertise Quote someone, or claim it in your own voice
Second-person validation “You’re not just X, you’re Y.” / “Are you ready to go deeper?” Cut, or praise something specific
Profundity closer “It’s less a map than a compass.” / chiastic paradox as kicker End on the finding
Hedging stack “It’s important to note that, in some cases, X may potentially…” One hedge max. Style only; never evidence of authorship (corpus evidence is contested)

5. Cadence and structure

Invisible sentence by sentence. Read structural positions across the whole piece and count.

Pattern What to count Fix
Short emphatic topic sentences Paragraph openers like “Speed wins.” / “It worked.”; one-sentence dramatic paragraphs. Two or more = High Keep the strongest; vary the rest (fold, demote, let substance lead)
Uniform paragraph rhythm Every paragraph 3–4 mid-length sentences Vary deliberately
Fluff sandwich Generality / content / restated generality Keep the middle sentence
Paragraph-final restatement “Ultimately, …” / “In short, …” Cut
Anaphora abuse “It’s about X. It’s about Y. It’s about Z.” Keep one; recast the rest
Synonym cycling tool → platform → solution → offering Reuse the right term
Dead metaphor One metaphor revisited in every section Keep the first use; go literal after
Announce-then-answer “This piece will examine…” / “Having established X, …” Start with the first claim
Signposting “more on that below,” “as we’ll see” Delete
Tie-back “as mentioned above,” callback to the intro Restate the substance in a clause or delete
Stakeless competence No names, numbers, dates, tools, prices; flawless grammar in casual register Author supplies detail

6. Punctuation

Signal Detail Fix
Em-dash overuse Readers assume AI on sight (the “ChatGPT hyphen”), so it costs credibility regardless of author. As authorship evidence it has collapsed: in the Economist’s 2026 corpus only Claude out-dashed humans; ChatGPT used fewer; GPT-5.1 suppresses them by instruction Comma, semicolon, colon, or new sentence. Never space an em dash
Punctuation scarcity Fewer commas and semicolons than human prose, almost no parentheses; long compounds joined by “and.” Economist: “and” is the single most overused word across all four models; thin punctuation beats any word as an indicator Break compounds; subordinate the subordinate clause
Contrast starvation Opposing clauses joined by “;”, “and,” or “while,” almost never a coordinating “but.” Zero or one “but” in a long piece is the signal Write “, but” where the logic turns

7. Formatting

Pattern Fix
Bullet bloat (prose chopped into fragments with bolded lead-ins) Recombine into prose; bullets only for true lists
Bold-itis (mid-sentence emphasis bolding) Unbold; rewrite for emphasis
Colon-subtitle headers (“Precision: Why Word Choice Matters”) Plain descriptive headings
Title Case headings; Wh-word headings (“What This Means,” “Why It Matters”) Sentence case; name the content
Emoji decoration (🚀 bullets, ✅/❌ lists, emoji-capped headers) Delete
Unicode decoration (→, box-drawing, decorative bullets) Words for relationships; ordinary list markup

8. Openers and closers

Pattern Fix
“In today’s fast-paced world / digital age / ever-evolving landscape” Start with the subject
“Let’s dive in” / “Let’s unpack this” / “Let’s explore” Begin
“It’s important to note that” / “It’s worth noting that” State the point
“Keep in mind that” / “Remember that” Cut
“At the end of the day” Cut or state the conclusion
“In conclusion,” / “In summary,” (short pieces) End on the last point
“By following these steps, you can…” Cut
“…and that’s exactly the point” / “…and that’s okay” Cut
“I’m excited / honored / thrilled to announce” State the news
“I hope this email finds you well” Open with the reason
“I hope this helps” / “Great question” / “Would you like me to…?” (in a deliverable) Cut; assistant-voice leakage

9. Paste-through artifacts (conclusive)

Exact strings no human types. One hit settles authorship. Current as of August 2026; a miss tells you nothing.

Artifact Source
contentReference, oaicite, oai_citation, turn0search0, attributableIndex ChatGPT
[cite: 1], [span_1](start_span) Gemini
grok_card, grok_render_citation_card_json Grok
Stray lenticular brackets, dagger symbols DeepSeek
attached_file, ppl-ai-file-upload Perplexity
:::writing Unclassified
utm_source= on pasted links Any model with web search

10. Model tendencies (August 2026, Economist corpus)

Model Tendency
Gemini, Claude Polysyllables, rare words, nominalizations
ChatGPT, Claude Most “not X but Y” scaffolds and rule-of-three triplets per 1,000 sentences
Claude Only model to out-dash human writers
ChatGPT Markedly fewer em dashes than humans
Grok “causal,” “empirical,” “correlate”; inverts negative parallelism into “X rather than Y”

11. Review procedure

  1. Grep §9 strings first.
  2. Grep §2, §3, §8 as candidates; judge each on §1 tests.
  3. Close read for §4 constructions, paragraph by paragraph.
  4. Second read for §5–6: paragraph openers as a set, “but” count, “and”-chained compounds.
  5. Sort findings High / Medium / Low; report cadence patterns once, with instances listed.
  6. Run your own replacement text against the same tables.