Editing & Rewriting
Replacing AI Buzzwords With Plain Language
A practical guide to swapping overused AI buzzwords for plain alternatives, with a swap table, before/after examples, and a fast editing checklist.
If you paste a draft from ChatGPT into a document and read it out loud, something will feel off. The words are technically correct, but they land with a thud. Phrases like "it is important to note" and "by leveraging these strategies" show up again and again. Nobody talks that way, and few people write that way either, unless a language model generated the text.
This guide covers why those phrases appear so often, how to spot them fast, and how to swap them for plain alternatives that carry the same meaning without the corporate texture.
Why AI Models Default to Buzzwords
Language models learn from a huge pool of written text. A large share of that text comes from business articles, corporate blogs, and marketing copy, which are stacked with filler phrases and abstract nouns. When a model tries to sound confident and professional, it mirrors that register.
The result is a cluster of words that feel authoritative on the surface but say very little: words like "utilize," "robust," "leverage," "streamline," and "navigate." They are not wrong, exactly. They are just vague and overused to the point where they carry almost no information.
Plain language editing is not about dumbing things down. It is about choosing the word that actually describes what you mean instead of the word that sounds official.
A Swap Table: Buzzwords and Their Plain Alternatives
Use this table as a reference when you are reviewing a draft. The left column shows words and phrases that appear constantly in AI-generated text. The right column offers direct replacements that say the same thing with less friction.
| Instead of this | Try this |
|---|---|
| utilize | use |
| leverage (as a verb) | use, apply, build on |
| robust | strong, reliable, solid |
| streamline | simplify, speed up, cut steps from |
| navigate | handle, work through, deal with |
| it is important to note | note that, keep in mind |
| dive deep into | look closely at, examine |
| delve into | look at, explore, cover |
| in today's fast-paced world | (just cut it) |
| at the end of the day | ultimately, in the end, finally |
| unlock (potential, value, etc.) | reach, get to, discover |
| game-changer | (say what specifically changed) |
| cutting-edge | current, new, recent |
| seamlessly | smoothly, without gaps, (cut it) |
| holistic approach | (say which parts you address) |
| moving forward | from here, next, going forward |
| touch base | check in, follow up, talk |
| synergy | (say what two things do together) |
| pain points | problems, frustrations, difficulties |
| empower | help, let, allow, give someone the ability to |
| take a deep dive | look closely, examine in detail |
A few of these are worth explaining. "Utilize" is a longer word than "use" and means the same thing in almost every context. "Delve" appears so often in AI text that it has become a recognized marker of generated writing. "In today's fast-paced world" is a throat-clearing phrase that adds nothing and can be deleted without changing the sentence.
How to Spot Buzzword Clusters in a Draft
The words on the swap table rarely appear alone. When a model uses one, it tends to use several in the same paragraph. A useful editing habit is to search for a handful of anchor words ("leverage," "robust," "seamlessly," "delve," "empower") and use them as flags. When you find one, read the surrounding sentences carefully. You will usually find others nearby.
Another pattern to watch for is the "it is important to note that" construction. This phrase, and variations on it ("it should be mentioned," "it is worth noting"), almost always introduce information the writer could have stated directly. Instead of writing "it is important to note that the deadline is Friday," write "the deadline is Friday."
The same logic applies to abstract nouns built from verbs. When a draft says "the implementation of the solution," it means "implementing the solution" or even just "the fix." The noun form adds length without adding meaning.
For a fuller look at how these patterns show up across an entire draft, the guide How to Edit an AI Draft So It Reads Like a Human Wrote It walks through the process from start to finish.
Before and After: Replacing Buzzwords in a Real Paragraph
Here is a short paragraph the way a language model might write it, followed by a plain-language version.
Before:
"In today's fast-paced world, it is important to leverage robust content strategies that empower your audience. By seamlessly integrating cutting-edge techniques, businesses can unlock new levels of engagement and streamline their workflows."
After:
"Good content strategy helps your audience understand what you offer and why it matters. Cleaner processes save time and cut the back-and-forth."
The after version is shorter, but it is not thinner. It still carries a complete idea. What it loses is the padding that makes the original feel inflated and hollow.
Notice that the after version also drops the vague abstract nouns ("levels of engagement," "workflows") and replaces them with a concrete benefit. Plain language editing often involves asking: what does this phrase actually mean in this specific situation? If you cannot answer that, the phrase probably does not belong.
A Three-Pass Editing Approach
Trying to fix everything in a single read-through slows you down and makes you miss things. A faster approach is to run three short passes, each focused on one type of problem.
Pass 1: Search and replace buzzwords. Go through the swap table above and run a quick find for the anchor words. Replace them directly or flag them for rewriting.
Pass 2: Cut the throat-clearing phrases. Look for sentences that start with "It is important to," "It should be noted that," "In today's," or "At the end of the day." Delete the setup and keep the actual information.
Pass 3: Shorten abstract noun chains. Look for phrases like "the implementation of," "the utilization of," "the development of," and convert them to verb forms. "The implementation of the plan" becomes "implementing the plan."
Three focused passes take less time than one slow comprehensive read, and they catch more. The guide A Simple Checklist for Removing AI Tells From Any Draft has a printable version of this kind of checklist if you want something to keep next to your workspace.
When Swapping Words Is Not Enough
The swap table handles surface-level problems well. But some AI drafts have a deeper issue: the sentences are structured in a way that feels generated no matter which words you substitute.
A common structural tell is the three-item list padded with abstract nouns: "This approach improves efficiency, enhances performance, and optimizes outcomes." You can swap those words, but the sentence will still feel thin because none of the three items mean anything specific.
In cases like that, the fix is not a swap but a rewrite. Pick one concrete thing the approach actually does, and write one clear sentence about it. The article How to Rewrite a Robotic AI Paragraph by Hand covers this kind of structural editing in more detail.
If you want a faster route, the humanizer prompt is built to handle both surface-level word swaps and structural problems in a single pass. It is a good option when you have a longer draft and want to move quickly.
Frequently Asked Questions
Is "utilize" always wrong?
Not always. "Utilize" technically means to make practical use of something that is not designed for that purpose, the way you might "utilize" a butter knife as a screwdriver. In most writing, though, "use" is the right word. If you are not making a technical distinction between "use" and "utilize," swap it.
Can I just run a find-and-replace for all these words?
For single-word swaps like "utilize" to "use," yes. For phrases and context-dependent words like "leverage," a straight replacement will sometimes produce an awkward sentence. Skim the results after any bulk replacement.
Does avoiding these words make my writing sound less professional?
No. Plain language is not informal language. It is precise language. Academic and legal writing that is considered highly credible tends to use specific, concrete words rather than vague corporate vocabulary.
What is the fastest way to check a draft for buzzwords?
Open your document, use the find function, and search for five or six anchor words from the swap table: "leverage," "seamlessly," "robust," "delve," "empower," "utilize." Each hit gives you a place to edit. Most drafts show the problem clearly within the first ten results.
Do AI detectors flag these words specifically?
AI detectors look at statistical patterns across the whole text, not individual word choices. Swapping buzzwords alone will not change a detector score in a meaningful way. But it does make the writing read more like a person wrote it, which is the goal.