humanize-english

name

humanize-english

description

Make AI-generated English text sound natural and human. Use when: writing blog posts, articles, marketing copy, any English content that must not read as AI-generated. Covers: burstiness, perplexity, banned words, sentence patterns, transitions, tone. Based on: Liang et al. (arxiv 2406.07016, 15M+ abstracts), GPTZero/Originality research. Use BEFORE publishing any AI-generated English text. Do NOT use for Russian text (use humanize-russian) or for macro-level article structure such as thesis/proof balance or a limitations block (use article-structure-review); this skill operates at the word/sentence level on English only.

English Text Humanization Skill

When to Use

• Writing blog posts, articles, marketing copy in English
• Polishing AI-generated drafts to sound human
• Any English text that needs to pass AI detectors
• Content that must feel authentic to readers

Core Principle

Specificity vs generality. Human text references exact things, takes positions, makes mistakes, shows personality. AI text covers all bases, hedges everything, uses the safest phrasings, produces text that could apply to any similar topic. "Surface polish with nothing underneath" is AI's signature.

Core Concepts

Burstiness (sentence rhythm variation)

AI writes flat, uniform sentences (15-25 words, clustered). Humans alternate wildly - a 5-word sentence next to a 40-word one.

Rules:

• Mix short (3-7 words), medium (10-18 words), and long (20-30 words) sentences
• NEVER write 3+ consecutive sentences of similar length
• Use one-sentence paragraphs for emphasis
• Use sentence fragments deliberately. Like this.
• Vary paragraph length: 1-sentence → 3-sentence → 2-sentence → 4-sentence

Before (low burstiness - AI-like):

AI retouching has become an important tool for photographers. It allows them to
enhance their images quickly and efficiently. Many professionals are now adopting
this technology in their workflow. The results are consistently impressive and
save considerable time.

After (high burstiness - human):

AI retouching changed everything. Not gradually - overnight. Photographers who
spent three hours on a single portrait now finish in seconds. The quality? Better
than most manual edits. Not all of them, sure. But enough that the 23 retouchers
I talked to last month all said the same thing: "I can't go back."

Perplexity (word unpredictability)

AI picks the most probable next word - consistently low perplexity, every word is the safest statistical choice. Human writing has perplexity spikes: unexpected metaphors, unusual word pairings, surprising verbs.

Rules:

• Replace the first word that comes to mind with the second or third
• Use specific nouns: "23 retouchers" not "many professionals"
• Use unexpected verbs: "grab" not "utilize", "ship" not "implement", "kill" not "eliminate"
• Drop in concrete details the AI wouldn't know: names, dates, specific tools
• Numbers > vague quantities. Always.

Weak (predictable): "Many users find the tool helpful for their work." Strong (surprising): "84% of beta testers shipped their first edit in under 90 seconds."

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Banned Words & Phrases

Tier 1 - NEVER use (research-confirmed AI markers)

Based on Liang et al. (arxiv 2406.07016) - 15M+ PubMed abstracts analysis. The 10 most effective marker words (highest excess ratio post-ChatGPT):

across, additionally, comprehensive, crucial, enhancing, exhibited, insights, notably, particularly, within

Other high-excess words (>5x frequency spike):

Kill this	Replace with
delve (25.2x spike)	dig into, explore, look at
showcasing (9.2x)	showing, demo
underscores (9.1x)	highlights, shows
tapestry	mix, blend, combination
leverage	use, grab, tap into
utilize	use
enhance	boost, sharpen, improve
elevate	raise, lift, push
embark	start, kick off, jump into
resonate	click, land, hit home
landscape	space, market, field
multifaceted	complex, layered
intricate	detailed, complex
interplay	relationship, tension, push-pull
cutting-edge	latest, newest, bleeding-edge
game-changer	shift, breakthrough
revolutionize	reshape, rethink, flip
seamlessly	smoothly, without friction
illuminate	show, reveal, expose
unveil	launch, drop, release
remarkable	striking, sharp, wild

Key finding from Liang et al.: unlike content shifts (COVID terms = nouns), LLM excess is almost entirely STYLE words - 66% verbs, 18% adjectives. This is what makes them detectable.

Note: "delve" showed 25.2x spike but dropped sharply in 2025 after being called out. LLMs and humans co-evolve - static word lists go stale. The principles matter more than specific words.

Tier 2 - Avoid (padding / filler)

Kill this	Replace with
In order to	To
Due to the fact that	Because
It is important to note	(delete entirely)
It is worth mentioning	(delete entirely)
At the end of the day	(delete entirely)
In today's world	(delete entirely)
As a matter of fact	Actually / In fact
For all intents and purposes	(delete entirely)
needless to say	(delete - if needless, don't say it)
a wide range of	many / various
in the realm of	in

Tier 3 - Banned transitions

Kill this	Replace with
Furthermore	And / Plus / On top of that
Moreover	And / What's more
Additionally	Also / And
In conclusion	(use "Conclusion" as H2, never "In conclusion")
To summarize	(just summarize, don't announce it)
It's worth noting	(delete - just note it)
That being said	But / Still / That said
On the other hand	But / Then again

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Structural Anti-Patterns to Avoid

The "AI Shape" of Text

• Symmetrical paragraphs - every paragraph roughly the same length
• Symmetrical lists - every bullet the same structure/length
• Predictable headers - "Understanding X", "The Role of Y", "Why Z Matters"
• The sandwich - broad claim → supporting detail → restatement, repeated identically
• Over-structuring - not everything needs H2 → H3 → bullet list. Sometimes a paragraph is just a paragraph

Tone Traps

• Excessive enthusiasm - "Fascinating!", "Remarkable!", unearned excitement about mundane topics
• Hedge-heavy - "It's worth noting...", "While it may seem...", never taking a definitive position
• Balanced-to-a-fault - always "On the one hand... On the other hand..." even when one side is clearly correct. Non-committal conclusions ("It depends on your specific needs")
• Missing human markers - no "I think", no uncertainty, no humor, no self-correction, no register shifts, perfect grammar throughout

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Sentence Openers - Vary These

Never start 2+ consecutive sentences the same way.

Good openers to rotate:

• Direct statement: "The model ships with 4K support."
• Number: "73% of creators switched within a month."
• Question: "What happens when your editor can't keep up?"
• Quote: "'I deleted Photoshop,' she told me."
• Contrast: "But here's the catch."
• Time: "Two weeks later, the results spoke."
• Command: "Try this: upload a raw selfie."
• Fragment: "Not anymore."

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Contractions - Always Use

Formal (AI-like)	Natural (human)
it is	it's
you are	you're
do not	don't
cannot	can't
we have	we've
they will	they'll
here is	here's
that is	that's

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Human Texture Techniques

1. Rhetorical questions (1-2 per article)

• "Sound familiar?"
• "So what's the catch?"
• "Why does this matter?"

2. Direct address

• "You" and "your" - talk TO the reader, not about them
• "Here's what you need to know."
• "Your first edit takes 30 seconds."

3. Specificity over abstraction

• Not "improves quality" → "reduces grain by 40% without losing skin texture"
• Not "saves time" → "cuts a 3-hour session to 12 minutes"
• Not "many users" → "2,400 photographers in the beta"

4. Analogies from everyday life

• "It's like autocomplete, but for your entire photo."
• "Think of it as a spell-checker for skin tones."

5. Imperfection signals

• "Not perfect - nothing is. But close enough."
• "Honestly? I was skeptical too."
• "Does it work every time? No. But 9 out of 10."

6. Dead ends and honesty

• "I tried X but it failed because..."
• "I still don't fully understand why..."
• Include actual error messages, version numbers, time stamps

7. Sentence fragments for punch

• "Fast. Accurate. Done."
• "Not just better. Different."
• "The result? Silence. Then applause."

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Self-Audit Checklist

After writing, verify:

• No 3+ consecutive sentences of similar length
• No words from Tier 1 banned list
• No banned transitions from Tier 3
• At least 2 sentences under 6 words per 500 words
• At least 1 rhetorical question per 500 words
• At least 3 specific numbers per article
• All contractions used (no "it is", "do not")
• No paragraph starts the same way as the previous one
• At least 1 analogy or comparison
• At least 1 admission of uncertainty or limitation
• At least 1 opinion or stance taken
• CTA is specific action, not vague invitation
• Paragraph lengths vary (1-sentence mixed with 3-4-sentence)

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Troubleshooting

Symptom	Cause	Fix
Text "feels" AI	Low burstiness - all sentences same length	Chop some in half, merge others
Flagged by GPTZero	High predictability - obvious word choices	Replace 5-10 nouns with specific alternatives
Sounds like a textbook	Too formal, no contractions	Add contractions + 2 rhetorical questions
Repetitive paragraph starts	Same transition pattern	Rotate: statement → number → question → quote
Reads like a press release	No personality, no "I" or "you"	Add 1 personal observation + direct "you" address
Vague / generic	Abstraction over specificity	Replace every "many/some/various" with a number
Surface polish, nothing underneath	Generic frameworks, verbose padding	Cut 30% of text, add 3 concrete examples

Gotchas

• Em-dash overuse: AI loves em-dashes. Use max 2 per article. Prefer commas or periods.
• Bold in lists: AI writes **Bold header**: explanation in every bullet. Vary: some bold, some not, some just text.
• Uniform list items: AI makes every bullet the same length/structure. Mix: short + long, sentence + fragment.
• "Not just X, but also Y": Classic AI construction. Kill it. Say it directly.
• Over-structuring: Not everything needs H2 → H3 → bullet list. Sometimes a paragraph is just a paragraph.
• Co-evolution: Specific flagged words change over time (delve peaked 2024, dropped 2025). The structural patterns (burstiness, perplexity, symmetry) are more stable signals.
• Static word lists go stale: Lists of "AI words" degrade as models adapt. Focus on principles (specificity, rhythm, honesty) over word-level avoidance.

Sources

Academic (peer-reviewed)

• Liang et al. (2024) - "Delving into LLM-assisted writing" (arxiv 2406.07016) - 15M+ abstracts, 280 excess words
• Human-LLM Coevolution (arxiv 2502.09606) - delve dropped after being called out
• Measuring AI "Slop" in Text (arxiv 2509.19163) - coherence/relevance dimensions
• Why Does ChatGPT "Delve"? (arxiv 2412.11385) - lexical overrepresentation sources

Research data

• berenslab/chatgpt-excess-words (GitHub) - raw CSV data behind Liang paper
• Foadsf/avoid-gpt-phrases (GitHub) - CLI tool, 80 flagged words for LaTeX

Practitioner guides

• Originality.AI - Perplexity and Burstiness in writing
• Habr article 918226 - 14-point authenticity checklist (Russian, high quality)