8 min read · updated 10 September 2026
Text produced by a language model tends to be grammatical, organised and oddly forgettable. Readers notice it before they can explain why. The tells are structural rather than lexical, which is why swapping individual words for synonyms never fixes the problem.
This guide names the patterns, then gives an editing pass you can run on any draft in about fifteen minutes. It is about honest editing: making your own argument clearer and more specific, not disguising authorship or evading a declaration you owe someone.
Tell one: every sentence is the same length
Human writing varies. A long clause-heavy sentence is followed by four words. Machine prose settles into a narrow band, usually 18 to 25 words, paragraph after paragraph. The effect is a flat metronome rhythm that tires a reader without giving them anything to hold on to.
The fix is mechanical: read a paragraph aloud and break the longest sentence in two, then merge two short adjacent ones elsewhere. Deliberately leave one very short sentence per paragraph. It lands.
Tell two: stock connectives and framing phrases
Phrases such as "in today's fast-paced world", "it is important to note that", "delve into", "navigate the complexities of", "plays a crucial role in" and "in conclusion" appear far more often in generated text than in edited human writing. They occupy space without adding information.
Delete them rather than replacing them. Almost every sentence survives the removal of its opening frame, and most get stronger. "It is important to note that costs rose 12%" becomes "Costs rose 12%."
Tell three: hedged, unfalsifiable claims
Generated drafts hedge by default: things "can potentially help", results "may vary depending on context", something "is often considered". Hedging is honest when uncertainty is real and evasive when it is filler.
Go through every hedge and decide: is there real uncertainty? If yes, name it precisely — who says otherwise, and under what conditions. If no, state the claim plainly. This is the single edit that most changes how authoritative a piece reads.
Tell four: no specifics that only you could know
A model cannot invent your Tuesday. Human writing is anchored by particulars: a number you measured, a tool you cursed at, a date, a name, an objection a colleague raised.
Add two or three genuine specifics per section. This is also the quickest way to make a piece more useful, because specifics are what readers take away and act on.
- Replace "significant savings" with the actual figure and period.
- Replace "stakeholders" with the real role: plant controller, category buyer, auditor.
- Name the version, system or constraint you were working within.
The fifteen-minute editing pass
Run these steps in order. Each one is fast and independently useful.
- Cut the first sentence of the piece if it only announces the topic.
- Delete every stock frame and "in conclusion"-style signpost.
- Break or merge sentences so paragraph rhythm varies audibly.
- Resolve every hedge into a plain claim or a named uncertainty.
- Insert two real specifics per section.
- Read the whole thing aloud once. Fix anything you stumble over.
On detectors, and on being straight about it
AI-detection tools estimate how predictable text is; they are noisy in both directions and regularly flag careful human writing, particularly by non-native English speakers. Treat a score as a weak hint about flat rhythm and generic phrasing, never as proof of anything.
More importantly, editing is not a substitute for disclosure. If a university, client or employer asks whether you used generative tools, answer honestly. Use editing to make work clearer and more yours, not to misrepresent how it was made.
Frequently asked questions
- Do synonym swaps help?
- Very little. The recognisable patterns are rhythm, hedging and absent specifics — none of which change when you replace a word with a thesaurus entry.
- Are AI detectors reliable?
- No. Published false-positive rates are high enough that no serious decision should rest on a detector score alone, and they penalise plain, consistent prose.
- Is it acceptable to use AI for a first draft?
- In many settings yes, provided you verify the facts, do the thinking yourself and disclose the use when it is asked for or expected.
Put it into practice
Shows sentence-rhythm and stock-phrase analysis on your draft, and keeps your figures and citations locked.
Open the AI Humanizer & Originality StudioWritten by Syed Danish Arafat, a financial analyst working in FP&A, reporting and finance automation. Shared for educational purposes — review anything here against your own circumstances before acting on it.