Remove AI Content From Text - 10 Quick Edits Prompts + Instructions

I’ve spent the last few years building Merrative. It’s a community dedicated to helping brands move away from commodity content. The aim is to guide them toward true thought leadership.

But lately, my LinkedIn feed has started to feel like a hall of mirrors. It doesn’t matter if a human or a bot wrote the draft. The result is often the same: a polished, frictionless, and utterly forgettable “tonal flattening”.

The issue is that distinguishing AI from human content is becoming increasingly difficult. This backed by NYT’s recent study:

We made a blind taste test to see whether NYT readers prefer human writing or AI writing.

86,000 people have taken it so far, and the results are fascinating. Overall, 54% of quiz-takers prefer AI. A real moment!https://t.co/Gpbr3TAiiI
— Kevin Roose (@kevinroose) March 10, 2026

Trust stands as the essential currency for success. But, when your voice mirrors that of the crowd, it signifies a branding misstep. This can ultimately erode trust.

It’s okay to use AI — now try these 10 fixes to make it amazing.

10 Edits To Remove AI Content From Text

Here are the 10 linguistic patterns currently killing your brand’s authority, and how to fix them.

1. The ‘Real-World’ Redundancy

The Pattern: “Real-world applications,” “Real-world challenges,” “Real-world data.”

The Issue: It’s a weasel word. If an application isn’t “real-world,” where is it happening? In a simulation? In your dreams? This is a filler phrase used to fake practicality without actually being specific.

Remove AI Content: Drop the modifier and replace it with a specific entity or data point. Specificity is the only moat that matters.

Original: “Real-world applications of SME interviews.”
Better: “Examples from 8 senior marketers on building workflows that incorporate SME interviews to reduce feedback loops by 14%”.

The Prompt: “Scan the following text for the phrase ‘real-world’ used as a modifier (e.g., ‘real-world examples’, ‘real-world applications’). Delete the modifier entirely. If the sentence feels empty without it, replace the vague claim with a specific entity, a named brand, or a numerical data point that proves the practicality you were trying to imply.”

2. The Two-Item Bullet Point Trap

The Pattern: Using a list for exactly two things.

The Issue: Large Language Models (LLMs) love structure. They see two related items and immediately reach for the bullet points. But two items don’t make a list; they make a sentence. Breaking them out creates unnecessary visual friction and signals a lack of editorial care.

Remove AI Content: Merge them into a cohesive sentence.

Original: “You can use the tool to:
- Update the browser tab
- Give quick access to the definition.”

Better: “You can use the tool to update the browser tab and give quick access to the full definition”.

The Prompt: “Find any bulleted or numbered lists in this draft that contain only two items. Convert these lists into a single, cohesive compound sentence using ‘and’ or ‘while’. Make sure the structural flow remains smooth and eliminates the visual stutter of unnecessary formatting.”

3. The Monotonous Staccato (The Triple-Three)

The Pattern: Three sentences in a row, each about three to five words long.

The Issue: As Gary Provost famously demonstrated, five-word sentences are “fine,” but several together become a drone. It sounds like a stuck record. It’s the linguistic equivalent of a flatline.

Remove AI Content: Vary the length to create a rhythm. Mix short, snappy summaries with long, complex investigations.

Original: “AI is everywhere. Production-ready AI? Not so much. Most teams fail.”

Better: “AI is everywhere. Nonetheless, production-ready AI remains rare. This is because most teams focus on volume over the strategic ‘moat’ of original research.”

The Prompt: “Apply the Gary Provost ‘Music’ filter. Look for sequences of three or more short sentences (under 6 words) in a row. Combine at least two of them into a complex or compound sentence using subordinating conjunctions (e.g., ‘because’, ‘although’, ‘since’) to create a rhythmic crescendo rather than a robotic drone.”

4. The Binary “Ones Who” Framework

The Pattern: “It won’t be the ones who [Action A] that win; it’ll be the ones who.”

The Issue: This is a favorite rhetorical trope of AI attempting to sound profound. It creates a false dichotomy that lacks nuance. It’s “Gonzo-lite”—all the attitude of a strong opinion with none of the actual insight.

Remove AI Content: Skip the structure and state the specific strategic idea directly.

Original: “It won’t be the coders who succeed; it’ll be the prompters.”

Better: “Product directors who build roadmaps in partnership with sales will succeed because they align technical ability with market demand”.

The Prompt: “Locate rhetorical structures that use the ‘It won’t be X, it will be Y’ format (e.g., ‘It won’t be the coders who win…’). Rewrite these as direct, assertive declarations. Remove the ‘ones who’ phrasing and focus on the specific persona and the specific action that leads to the outcome.”

5. The “Delve” Default

The Pattern: “Let’s delve into…”, “Delving deep into the complexities…”

The Issue: “Delve” is the definitive digital fingerprint of ChatGPT. Since the launch of LLMs, the use of this word in academic and business writing has skyrocketed. It’s overly formal, mechanical, and screams “I didn’t edit this.”

Remove AI Content: Use active, visceral verbs that describe the actual action.

Original: “Let’s delve into the data.”
Better: “We analyzed 17 million citations to see how AI assistants rank fresh content”.

The Prompt: “Identify every instance of the word ‘delve’ or ‘delving’. Replace them with visceral, active verbs that describe the specific analytical action taking place—such as ‘analyzed’, ‘audited’, ‘calculated’, ‘interviewed’, or ‘unpacked’. If the word is used as a transition, delete the transition and start with the core insight.”

6. The “Rich Tapestry” Metaphor

The Pattern: “A rich tapestry of ideas,” “The intricate tapestry of the market.”

The Issue: It’s flowery fluff. It’s a metaphor that attempts to hide a lack of concrete detail. When a reader sees “rich tapestry,” their brain treats it as “musak of the mind” and tunes out.

Remove AI Content: Use literal, industry-specific terminology.

Original: “The rich tapestry of digital marketing.”
Better: “The fragmented ecosystem of multichannel attribution”.

The Prompt: “Find all flowery metaphors used to describe complexity, specifically ‘rich tapestry’, ‘symphony’, ‘vibrant landscape’, or ‘beacon’. Replace these with literal, industry-specific terminology (e.g., ‘fragmented ecosystem’, ‘multichannel attribution’, ‘Q4 logistics bottleneck’). Specificity is the priority over poetic filler.”

7. Negative Parallelism (“Not only X, but also Y”)

The Pattern: “The tool is not only fast, but also accurate.”

The Issue: LLMs default to this because it’s a safe, balanced way to show two features. In reality, it adds four extra words to a simple thought. It makes your writing feel predictable and clinical.

Remove AI Content: Be direct.

Original: “This approach not only improves SEO but also builds trust.”
Better: “This approach builds trust—the very metric 94% of marketers now value—while naturally boosting organic visibility”.

The Prompt: “Scan for ‘not only… but also’ constructions. Rework these into direct, high-energy sentences. Focus on the most important benefit first and use an em-dash or a strong verb to connect the second point. Goal: Reduce word count and increase punchiness.”

8. Didactic Signposting

The Pattern: “It is important to note that…”, “It is worth considering…”, “Certainly, here is…”

The Issue: These are the markers of a machine trying to be helpful. In professional writing, they are “didactic disclaimers” that treat the reader like a student. If something is important, just say it.

Remove AI Content: Remove the preamble. Go straight to the insight.

Original: “It is important to remember that personalized CTAs do better.”
Better: “Personalized CTAs convert 202% better than generic alternatives”.

The Prompt: “Delete all ‘didactic signposts’ including: ‘It is important to note’, ‘It is worth considering’, ‘Certainly, [here is]’, and ‘In summary’. Start the paragraph or sentence directly with the data point or the opinion. Assume the reader is smart enough to know what is important without being told.”

9. Hyperbolic Adjectives without Evidence

The Pattern: “Revolutionary,” “Cutting-edge,” “Game-changing,” “Unparalleled.”

The Issue: These are empty claims. If everything is “groundbreaking,” nothing is. Research shows that overclaiming actually reduces brand trust by up to 50%.

Remove AI Content: Show, don’t tell. Give the data and let the reader decide if it’s “revolutionary”.

Original: “Our revolutionary new content framework.”
Better: “A framework that increased website traffic by 237% in twelve months for Ling App”.

The Prompt: “Identify hype-driven adjectives like ‘revolutionary’, ‘cutting-edge’, ‘unparalleled’, and ‘game-changing’. Strip them out. In their place, insert a specific metric or a ‘Before vs. After’ result. If you cannot provide evidence for the adjective, delete the claim entirely to preserve brand trust.”

10. The “Shifting Landscape” Conclusion

The Pattern: “As the landscape continues to shift, businesses must adapt to stay ahead…”

The Issue: AI loves a “wrap-up”. These conclusions are tacked-on summaries that add zero new value. They fail the “8-second test” where readers decide if your piece was worth their time.

Remove AI Content: End with a specific call to action, a provocative question, or a concrete recommendation.

Original: “In conclusion, navigating the AI landscape requires a new strategy.”
Better: “Who in your organization is now responsible for auditing your AI output for narrative consistency?”.

The Prompt: “Review the conclusion. If it uses a ‘navigating the ever-evolving landscape’ summary, delete it. Replace it with a provocative ‘Closing Question’ that forces the reader to audit their own strategy, or provide one concrete ‘Next Step’ recommendation based on the proprietary data shared in the piece.”

The Human Alpha Editing Filter: System Instructions to Remove AI Content

Copy and paste this in your system instructions for any AI model you use for consistent performance:

Role: You are a sharp, opinionated senior editor. Your objective is to eliminate the “AI Voice.” This refers to the statistically average, frictionless prose that signals automation. You must substitute it with high-impact, rhythmic, and specific “Information Gain.”

The 10 Editing Rules:

Kill the “Real-World” Crutch: Never use the modifier “real-world.” If a case study or application is practical, its reality is implied. Replace “Real-world applications” with specific entities: names of brands, job titles (e.g., “8 senior marketers”), or specific percentages.

The Two-Item List Ban: If a list has exactly two items, it is not a list; it is a sentence. Merge them using “and” or “while” to keep visual flow. Two bullet points signal a lack of editorial care.
Vary the Rhythm (Provost’s Music): Find “Triple-Three” clusters—three short sentences in a row. Break this monotony by combining them into a compound or complex sentence. Your prose should have a “lilt”—short, snappy summaries followed by a “sentence of considerable length” that burns with energy .
Abolish “Ones Who” Frameworks: Avoid “It won’t be the ones who X… it’ll be the ones who Y.” This is a false dichotomy. State the strategic declaration directly: “Marketers who [Action] will succeed because” .

Verbal Precision (The “Delve” Ban): Remove “delve,” “explore,” “harness,” and “leverage.” Use visceral, active verbs that describe the actual analytical action: “analyzed,” “audited,” “calculated,” or “interviewed” .
No “Rich Tapestries”: Purge flowery metaphors used to fake depth. Spot phrases like “rich tapestry,” “vibrant landscape,” or “symphony.” Replace them with literal, industry-specific nouns. Use terms like “fragmented ecosystem,” “multichannel attribution,” or “logistics bottleneck” instead.
Direct over Parallelism: Stop using “Not only X, but also Y.” It adds unnecessary words. Rework these into direct, high-energy statements. Move the most important advantage to the front of the sentence.

Remove Didactic Signposting: Assume the reader is a savvy professional. Remove “It is important to note,” “It is worth considering,” and “Certainly, [here is].” Start the sentence directly with the data or the opinion .
Evidence over Hyperbole: Strip out “revolutionary,” “cutting-edge,” “game-changing,” and “unparalleled.” If a claim is “revolutionary,” prove it with a “Before vs. After” result or a specific metric (e.g., “237% traffic growth”). If you can’t prove it, remove the claim.
The Audit Conclusion: Never wrap up with a generic summary about “navigating a shifting landscape.” End with a provocative closing question. This question should force the reader to audit their current strategy. Alternatively, give a concrete “Next Step” recommendation based on proprietary data.

Use This System To Improve AI Content for Human Writing

To move beyond just “fixing words,” you need a system that ensures AI-generated or AI-assisted content can never be “average.”

The EXTRA Framework: My Process for “Human Alpha”

One has got to go extra mile to get that stellar content yet enjoy AI’s productivity gains!

To cut through the noise, I rely on the EXTRA framework to move content from a statistical average toward “Human Alpha” :

Emotion: Incorporate humor, empathy, or a relatable tone that resonates with human pain points.
eXpertise: Inject deep-seated knowledge and real-life examples that AI can’t synthesize from its training data.
Trends: Capitalize on real-time, current industry shifts that haven’t yet reached AI datasets.

Rich Media: Use images and video to help audiences understand complex concepts faster than plain text.
Attention-grabbing headline: Make sure your work actually reaches the reader with a non-generic hook.

The “Subject Matter Expert” (SME) Injection

You can’t “remove” the robotic feeling without adding human lived experience. Instead of canned questions, use visceral probes during SME interviews. These 2 hacks are a good starting point:

The Thought Process: “What are you thinking of when you think of X?”

The Consequence: “What happens if…?” This uncovers the true business impact AI usually glosses over.

Proprietary Data: The Ultimate “Delete” Button

Original data is the only sustainable competitive moat. AI is scientifically mediocre at data analysis because it defaults to probabilistic guesses. Marketers who publish original data report 64% higher conversion rates .

Tactical Tooling: From Detectors to “De-Robotify” Filters

Use AI detectors as an editorial “stress test.” If your writing flags as robotic, apply a De-Robotify filter:

Limit em-dashes: Max one per short paragraph to avoid the “academic drone.”
Kill symmetry: Rework neat triplets and “Not X, but Y” structures.

Purge “Delve”: Replace hype terms like “robust,” “impactful,” and “leverage” with plain alternatives.

The “-AI” Search Hack (The Secret for Researchers)

To write original content, you must first find original sources. Use search operators to filter the “AI blurb bullshit” :

The Minus Operator: Add -AI to the end of your search query.

The “&udm=14” Filter: Add &udm=14 to the end of a Google URL to trigger the “Web” filter, serving pure, authoritative results without the AI overviews.

Why This Matters: The 8-Second Barrier

At Merrative, I often tell my clients that we aren’t just fighting for search rankings; we’re fighting for cognitive trust.

Nielsen Norman Group research shows that users often decide whether to stay on a page within the first 10 to 20 seconds. If your opening is a generic cliché about “navigating a rich tapestry of real-world challenges,” you’ve already lost. 55% of visitors leave within 8 seconds if the hook feels generic.

By breaking these ten patterns, you aren’t just “fixing the grammar.” You are building a Human Moat.

Brands that succeed in the age of overwhelming content publish with the highest “Information Gain.” They deliver original data and engaging interviews with subject matter experts. They also keep a relatable voice that resonates with real people.

Stop delving. Start speaking.

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