Signs of AI writing: how to tell if text was written by AI

These are the 15 patterns that make a draft feel machine-written. Each one comes with a way to spot it, a fix, and the Naturable rule that checks for it. At the end: what these signs can't tell you.

Updated October 2026 · 9 min read

Check a draft for these signs

Runs in your browser · nothing is uploaded

Great question! In today's digital landscape, experts believe this robust technology is not just a tool, it's a pivotal shift. In order to leverage it, teams could potentially rethink their work. The future looks bright. I hope this helps!

Open the full editor
64 / 100 Some AI patterns

Pattern score. It doesn't tell you whether a person or an AI wrote the text.

8 strong · 3 suggestions

Hits by category
  • Hollow claims 2
  • Structure 2
  • Assistant leftovers 2
  • Word choice 5
  1. StrongVague source
    “experts believe”The attribution cannot be checked as written.Name the source, date, or remove the attribution. Learn more
  2. StrongGeneric conclusion
    “The future looks bright”The ending makes a broad claim without evidence or action.End with a specific result, limit, or next step. Learn more
  3. StrongNot-just / but frame
    “is not just a tool, it's”The 'not just X, it is Y' frame often sounds rehearsed.State the main claim directly without the fake contrast. Learn more
+8 more in the full editor →

People notice AI-written text before they can say why. Usually it's not one word but a handful of habits stacked together: an opener about "today's digital landscape", a source nobody can check, three adjectives where one fact should be, and a closing line that could end any article. Each habit is easy to fix once you can name it. That's what this guide is for.

The signs are ordered roughly by how strongly they read as AI. The first few only make sense in a chat window; the last few are style habits that plenty of human writers share.

Assistant leftovers

How to spot it: Lines that only make sense in a chat window: a compliment on the question, an offer to help further, a sign-off aimed at the person who typed the prompt.

BeforeGreat question! Here's the plan. I hope this helps!
AfterHere's the plan.

Fix: Delete them. Start with the answer and end on your last useful point.

Checked by en.artifact.chat

Model disclaimers

How to spot it: The text talks about its own knowledge: "as of my last update", "as an AI language model", "based on the available sources".

BeforeAs of my last update, the bridge is closed to trucks.
AfterThe bridge is closed to trucks (city notice, May 2026).

Fix: Check the fact yourself, then state it with its source and date. If you can't check it, cut it.

Checked by en.artifact.disclaimer

Template openers

How to spot it: The first sentence talks about the state of the world instead of your topic. "In today's digital landscape" is the classic; "Let's dive in" and "Without further ado" are its cousins.

BeforeIn today's digital landscape, teams ship faster.
AfterTeams ship faster when reviews finish the same day.

Fix: Open with your subject doing something. The first sentence is the one readers judge you on.

Checked by en.structure.signpost, en.hollow.unsourced_everyone

Vague sources

How to spot it: Experts, studies or "many people" agree, but none are named. The claim sounds supported and can't be checked.

BeforeExperts believe this approach works.
AfterOur 2025 survey of 400 customers found this approach works.

Fix: Name the source and date, or drop the claim. Never invent a source to fill the gap.

Checked by en.hollow.vague_source

Fake certainty

How to spot it: "It is clear that", "without a doubt", "needless to say". The sentence declares the point proven instead of proving it.

BeforeIt is clear that remote work boosts output.
AfterOutput per person rose 6% in the quarter after we went remote.

Fix: Delete the certainty phrase and add the evidence, or soften the claim to what you actually know.

Checked by en.hollow.fake_certainty

The not-just-X frame

How to spot it: "It's not just a tool, it's a shift." A fake contrast that sets up a bigger claim. One per article is a style choice; one per paragraph is a template.

BeforeThis is not just a tool, it's a pivotal shift.
AfterThe change cuts review time in half.

Fix: State the main claim once, with the evidence.

Checked by en.structure.not_just_but

AI vocabulary clusters

How to spot it: Three or four of delve, robust, leverage, seamless, pivotal, landscape in one paragraph. Each word alone is fine. The cluster is the signal.

BeforeWe leverage a robust, seamless platform.
AfterWe run Postgres with two read replicas.

Fix: Swap each word for the specific thing it stands for. The full list is on the AI words to avoid page. See all AI words to avoid →

Checked by en.lexicon.cliche

Role, testament and journey filler

How to spot it: "Plays a vital role", "serves as a testament to", "embark on a journey", "unlock the full potential". Stock phrases that stand where a verb with a subject should be.

BeforeData plays a crucial role in our success.
AfterWeekly sales data tells us which products to restock.

Fix: Say what the thing does, to whom, and with what result.

Checked by en.lexicon.play_role, en.lexicon.journey_unlock

Stacked hedges

How to spot it: Two or more qualifiers on one claim: "could potentially", "may possibly", "it could be argued that".

BeforeTeams could potentially rethink their work.
AfterTeams could rethink their work.

Fix: Keep one qualifier, or none, and back the claim.

Checked by en.lexicon.hedge_stack

Wordy filler

How to spot it: "In order to", "due to the fact that", "it is important to note that". Phrases that add length and an official tone.

BeforeIt is important to note that the deadline is Friday.
AfterThe deadline is Friday.

Fix: Cut the phrase or use the short form (to, because). These are safe one-click fixes in the editor.

Checked by en.lexicon.filler_phrase

A transition at the start of every paragraph

How to spot it: Furthermore, Moreover, Additionally, Consequently. Formal connectors that turn paragraphs into an outline.

BeforeFurthermore, the plan saves money.
AfterThe plan also saves money.

Fix: Drop the connector, or use the plain word (also, so, but) inside the sentence.

Checked by en.lexicon.transition_stack

Throat-clearing before a list

How to spot it: "Here's what you need to know:", "There are several benefits:". A sentence whose only job is to introduce the next sentence.

BeforeThere are several benefits to this approach: speed and cost.
AfterThis approach is faster and cheaper.

Fix: Delete the setup and start with the first real point.

Checked by en.structure.list_intro_empty, en.structure.colon_throat

Em dashes everywhere

How to spot it: Dashes in most sentences, often in pairs, where a comma or period would do. A few are fine; a steady stream reads as a template.

BeforeThe plan — with dates — is ready — and signed.
AfterThe plan, with dates, is ready and signed.

Fix: Keep the dashes doing real work; turn the rest into commas or periods. Check your dashes →

Checked by en.structure.dash_dense

Sentences with the same shape

How to spot it: Neighboring sentences start the same way and run about the same length. "It improves speed. It improves quality. It improves trust."

BeforeIt improves speed. It improves quality. It improves trust.
AfterIt improves speed. Quality follows when reviews shrink, and trust rises when the numbers stay visible.

Fix: Vary the openings. Merge two short sentences or split a long one where the idea turns. Measure your sentence rhythm →

Checked by en.structure.adjacent_parallel

Generic conclusions

How to spot it: The last line could end any article: "In conclusion", "the future looks bright", "only time will tell".

BeforeIn conclusion, the future looks bright.
AfterWe'll roll the pilot out to three teams next quarter.

Fix: End with a result, a limit or a next step.

Checked by en.hollow.generic_conclusion, en.structure.in_conclusion

What these signs can't tell you

None of these patterns proves that an AI wrote something. People wrote all of them first. They also show up more in some kinds of human writing:

  • Formal and academic prose, which uses transitions like "moreover" on purpose
  • People writing in a second language, who often learn from formal templates
  • Corporate and legal documents that follow a house style
  • Short texts, where one stock phrase can look like a pattern

AI detectors have the same problem at a larger scale: they flag careful human writers and miss lightly edited AI drafts. Use these signs to edit your own writing. Don't use them to accuse someone else.

Questions

How can you tell if something was written by AI?

You can't tell for certain from the text alone. You can spot patterns that are common in chatbot drafts, like the ones on this page, but people write all of them too. Treat them as editing prompts for your own work, not as evidence about someone else's.

Are AI detectors reliable?

Not reliable enough to accuse anyone. They produce false positives, especially on formal writing and on writing by non-native speakers, and their results change with small edits. Naturable doesn't detect AI and doesn't test against detectors.

Which sign matters most?

Assistant leftovers and model disclaimers are the strongest: they only make sense in a chat window. Single words matter least. Most of the time it's a cluster of several signs in one paragraph that makes a draft feel machine-made.