The list
Fifteen phrases, and what to write instead.
The replacement is never a synonym. It is the concrete detail the phrase was hiding.
| Phrase | Why it fails | Write instead |
|---|---|---|
| In today's fast-paced world… | Says nothing; delays the point. | Delete it. Start with the point. |
| Delve into | The most recognized AI verb of all. | Look at, examine, cover — or just state the finding. |
| Leverage | Vague verb hiding a concrete action. | Use, run, apply — name the actual action. |
| Seamless / seamlessly | A claim with no evidence attached. | Say what the user no longer has to do. |
| Robust | Means nothing without a failure case. | Name what it survives: load, errors, bad input. |
| Game-changer / revolutionary | Inflated claim; invites skepticism. | The specific before/after the change causes. |
| It is important to note that… | If it is important, just say it. | Delete; keep the note itself. |
| Unlock the potential of… | Marketing filler with no referent. | The measurable thing that improves. |
| Streamline | Which steps disappeared? Unclear. | “Cuts the process from five steps to two.” |
| Enhance / elevate | Direction without magnitude. | What got better, by how much, for whom. |
| Navigate the complexities of… | Dramatizes instead of explaining. | Name the two or three actual difficulties. |
| A testament to… | Empty praise construction. | The fact that earned the praise. |
| Whether you're a beginner or an expert… | Addressing everyone means addressing no one. | Pick the actual reader and write for them. |
| In conclusion, … | Signals a summary of what was just said. | End with a consequence or a next step. |
| I hope this email finds you well. | Universal filler opening. | One line of real context, then the request. |
The pattern
Why replacement beats deletion.
Deleting a filler phrase leaves a hole; replacing it forces a fact into the sentence. “This robust solution streamlines workflows” has two hiding places. “The importer survives malformed CSVs and cuts upload prep from an hour to minutes” has none. If you cannot fill the phrase with a fact, that is useful information too — it means the sentence had no content, and the honest fix is cutting the whole sentence.
Stacked filler
This innovative platform leverages cutting-edge AI to seamlessly streamline your workflow — a true game-changer for teams navigating the complexities of modern collaboration.
After cleanup
The platform drafts meeting notes and assigns action items automatically. Teams stop spending the first ten minutes of each meeting reconstructing the last one.
Prompt
A cleanup prompt that catches the whole list.
Edit this text. Find every vague or generic phrase — filler openings, empty intensifiers, buzzword verbs like leverage, streamline, enhance — and either replace it with a concrete fact from the text or delete the sentence if no fact exists. Do not change any claim, number or name. Show the result, then list what you removed. Text: [paste text]
Beyond phrases
The structural tells no word list catches.
Once the obvious phrases are gone, AI text is still recognizable by its shapes. The most common is the rule of three: “faster, cheaper, and more reliable” — models produce triads at a rate no human sustains, and once you notice, a paragraph with three triads reads like a metronome. Break every second one: keep two items, or four, or replace the list with the one item that matters.
Next is false balance scaffolding: “not only X but also Y”, “while X, it's important to remember Y”, “on the one hand… on the other”. These constructions exist to avoid committing, and AI leans on them because commitment requires knowledge it does not have. Your rewrite has the knowledge — so commit. Say which hand wins.
Then there is uniform paragraph mass: every paragraph three to four sentences, every sentence 15–25 words, every section the same length. Human writing spends words unevenly because human attention is uneven — one idea gets a page, the next gets a line. And finally the aphorism close: the em-dash flourish that ends sections with a tidy profundity — much like this one. Cut it, and end on the fact instead.
The reason structure matters more than vocabulary: word lists are easy to launder with synonyms, so edited AI text often has clean vocabulary and untouched architecture. A reader who cannot say why a text feels generated is usually reacting to the rhythm, not the words. Fix the rhythm and the words stop mattering; fix only the words and the rhythm gives it away.
Make it yours
Build a banned list from your own drafts.
Generic ban lists — including the one above — decay: models update, registers shift, and your niche has tells no public list covers. The durable version is personal. Collect your last ten AI-assisted drafts, paste them into a chat, and ask: “List every phrase that appears in three or more of these documents, ranked by frequency. Ignore proper nouns and technical terms.” The result is your actual fingerprint — the twenty phrases your setup produces on repeat. Half will be on no public list because they come from your prompts, your templates or your industry's boilerplate.
Turn the top ten into a standing instruction you paste into every rewrite prompt: “Never use these phrases: […]. If one appears, replace it with a concrete detail or delete the sentence.” Refresh the list monthly; five minutes of maintenance keeps it ahead of any published tell-sheet. The deeper win is what the exercise teaches you: after building the list twice, you start catching the phrases as you read — which is the skill the list was scaffolding for all along.
Team version: merge everyone's personal lists into one shared document, and note which phrases came from the company's own template language. Half of “AI phrasing” in team output is usually the org's boilerplate being faithfully imitated.
FAQ
Phrase cleanup questions.
Is there one phrase that always gives ChatGPT away?
No single phrase — it is the stacking. One “leverage” is fine; “leverage” plus “seamless” plus “in today's fast-paced world” in one paragraph is the pattern readers recognize.
Should I just ban these words in my prompt?
Ban lists help but models route around them with synonyms. The stronger fix is demanding concrete detail — filler phrases cannot survive a sentence that names who, what and when.
Are these phrases wrong in human writing?
Not wrong, just weak. The problem is density and vagueness, not any single word. A human editor cuts most of them for the same reason.
Why does ChatGPT keep using these phrases?
They are the statistical average of business writing on the internet. Without specific facts and audience in the prompt, the model has nothing better to fill the sentence with.
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