texthumanize

star 142

Remove AI-style writing patterns from text to make it sound more natural and human

causify-ai By causify-ai schedule Updated 2/28/2026

description: Remove AI-style writing patterns from text to make it sound more natural and human model: haiku

When to Use

  • Blog posts, articles, or documentation that sound generic or corporate
  • Text with recognizable AI mannerisms (hedging, dramatic pivots, clichéd transitions)
  • Prose that needs more personality before publishing
  • Cleaning up AI-written content that's factually correct but tonally flat

When NOT to Use

  • Technical documentation where corporate clarity is the actual goal
  • Academic papers (formal conventions are required and deliberate)
  • Text where the original voice should be preserved entirely
  • Structural changes, reordering, fact-checking, or adding new ideas (editor role only)

What This Skill Preserves

  • Author's opinions, arguments, and claims
  • Document structure and organization
  • Paragraph and section order
  • Core meaning and facts
  • Intentional stylistic choices (fragments, unconventional punctuation, etc.)

Workflow

  • Read the Pattern Checklist to identify obvious AI markers
  • Apply the 19 Detailed Rules systematically (below)
  • Decide for each rule: remove the pattern OR keep it (if it serves the writing)
  • Return cleaned text and concise changelog

Output Format

Return exactly two sections:

  • Cleaned text: edited content with AI patterns removed
  • Changes: bulleted list of specific patterns fixed

Example:

[cleaned text here]

Changes:
- Removed dramatic pivot ("But here's the thing...")
- Replaced "delve" → "explore"
- Cut gift-wrapped conclusion ("In summary...")
- Rewrote passive cluster in para 3 to active voice

Pattern Checklist

Scan for these AI markers before applying detailed rules:

  • Overused Words and Jargon
    • Grandiose: "vital", "pivotal", "groundbreaking", "robust", "comprehensive", "nuanced", "multifaceted", "transformative"
    • AI vocabulary: "delve", "leverage" (verb), "reimagine", "empower", "unpack", "synergy"
  • Filler and Hedges
    • "It's worth noting that", "It's important to remember", "It should be noted", "Interestingly enough"
    • "Something we've observed", "This is where X really shines"
  • Theatrical Transitions and Pivots
    • Throat-clearing: "Let's dive in", "Let's unpack", "In this article, we'll"
    • Dramatic pivots: "But here's the thing", "Here's the catch", "Here's what most people miss"
    • Overused connectors: "Furthermore", "Moreover", "Additionally", "In addition to the above"
    • Rhetorical openers: "So what does this mean for you?", "Why does this matter?"
  • Structural Patterns
    • Gift-wrapped endings: "In summary", "In conclusion", "Ultimately", "At the end of the day", "Moving forward"
    • Exhaustive lists: 7–10 items when 3–4 would suffice
    • Passive voice clusters: 2+ passive sentences in a row
    • Corrective antithesis: "Not X. But Y." setup-payoff constructions
  • Meta-Language and Vagueness
    • Meta-verbs: "highlights", "underscores", "emphasizes", "showcases", "illustrates"
    • Vague attribution: "some experts say", "widely covered", "significant attention"
    • Copy-paste metaphors: same metaphor repeated word-for-word 3+ times

Core Principles

  • Edit, don't rewrite: clean up pattern slop, preserve voice, opinions, structure, and meaning
  • Apply systematically: check all 19 rules below; skip only if the rule doesn't apply to the text
  • Use judgment on conflicts: if a rule break serves the writing (e.g., a well-placed em dash for effect), keep it
  • Change nothing else: don't reorder paragraphs, add ideas, rephrase core arguments, or alter facts

Rules

Rule 1: Em Dashes

  • Remove excessive em dashes (—)
  • Rewrite using commas, full stops, or restructure the sentence
  • One or two in a long piece is fine; three or more is a pattern worth fixing

Rule 2: Corrective Antithesis

  • Remove "Not X. But Y." constructions where you set up something the reader never assumed, then correct it for drama
  • Bad: "This isn't because they don't trust the technology. It's because they can't predict it."
  • Good: "They trust the technology fine. What they can't do is predict it."

Rule 3: Dramatic Pivot Phrases

  • Remove theatrical pivots: "But here's the thing", "Here's the catch", "Here's the bind", "Here's what most people miss"
  • Fold the point into the sentence naturally
  • Bad: "The patterns are valuable. But here's the bind: building a tool cost more than most could justify."
  • Good: "The patterns are valuable but building a tool to capture them cost more than most could justify."

Rule 4: Soft Hedging Language

  • Cut filler hedges; just say the thing
  • Remove: "It's worth noting that", "Something we've observed", "This is where X really shines", "It's important to remember", "It should be noted", "Interestingly enough"
  • Bad: "It's worth noting that this approach has shown some promising results in certain contexts."
  • Good: "This approach works."

Rule 5: Overused Transition Words

  • Cut or vary "Furthermore", "Moreover", "Additionally", "In addition to the above" when chained together
  • Real writers use them sparingly
  • Bad: "The system is fast. Furthermore, it is reliable. Moreover, it is easy to use. Additionally, it integrates well."
  • Good: "The system is fast, reliable, easy to use, and integrates without friction."

Rule 6: AI Vocabulary

  • Replace words AI overuses with plain alternatives
    • "delve" -> explore, look at, examine
    • "leverage" (verb) -> use, apply, rely on
    • "robust" -> strong, solid, reliable
    • "comprehensive" -> thorough, complete, full
    • "nuanced" -> subtle, layered, specific
    • "multifaceted" -> complex, varied
    • "transformative" -> significant, major
    • "unpack" -> explain, break down
    • "reimagine" -> rethink, redesign
    • "empower" -> let, help, enable

Rule 7: Meta-Verbs

  • Don't say something "highlights", "underscores", "emphasizes", "showcases", or "illustrates" a point
  • Explain what it actually shows
  • Bad: "This underscores the importance of clear communication."
  • Good: "Clear communication matters here."

Rule 8: Passive Voice Clusters

  • Flag sequences of two or more passive constructions in a row
  • Rewrite at least one in active voice to restore momentum
  • Bad: "The report was reviewed by the team. Errors were identified. Changes were recommended."
  • Good: "The team reviewed the report, found errors, and recommended changes."

Rule 9: Rhetorical Section Openers

  • Cut rhetorical questions used as transitions ("So what does this mean for you?", "Why does this matter?")
  • State the answer directly or remove entirely
  • Bad: "So what does this mean for your team? It means you need to rethink your process."
  • Good: "Your team needs to rethink its process."

Rule 10: Staccato Rhythm

  • Break up runs of short, punchy sentences that stack without variation
  • Combine some; lengthen others
  • Let rhythm follow the thinking, not a drumbeat
  • Bad: "Now, agents act. They send emails. They modify code. They book appointments."
  • Good: "Agents are starting to do real things now. They'll send an email on your behalf or update a database, sometimes without you even realizing it happened."

Rule 11: Cookie-Cutter Paragraphs

  • Vary paragraph length
  • If every paragraph is 3–4 sentences, break some into one-liners and let others stretch
  • The shape on the page should look uneven, like real thinking

Rule 12: Gift-Wrapped Endings

  • Remove summary conclusions that restate the article's points
  • Cut: "In summary", "In conclusion", "Ultimately", "Moving forward", "At the end of the day"
  • End with something specific, human, or unresolved
  • Bad: "In summary, by focusing on clear communication, consistent feedback, and mutual trust, teams can build stronger relationships."
  • Good: "The best teams I've worked with never talked about trust. They just had it."

Rule 13: Throat-Clearing Intros

  • Remove: "Let's explore", "Let's unpack", "Let's dive in", "Let's break it down", "In this article, we'll"
  • Just start; the best first sentence puts the reader in the middle of something
  • Bad: "In this article, we'll explore the hidden costs of micromanagement Let's dive in."
  • Good: "I micromanaged someone last Tuesday."

Rule 14: Exhaustive Lists

  • Trim bullet lists that run to 7–10 items when 3–4 would cover the essential points
  • Long lists signal AI comprehensiveness, not human judgment
  • Cut the weakest items

Rule 15: Perfect Punctuation

  • Don't correct every grammar "mistake" if it sounds more natural broken
    • Fragments are fine
    • Starting with "And" or "But" is fine
    • A comma splice can stay if it reads well
  • If the draft has personality in its punctuation, keep it

Rule 16: Copy-Paste Metaphors

  • If the same metaphor or phrase appears more than twice, vary the language
  • Use a pronoun, rephrase it, or trust the reader to remember
  • Never repeat a metaphor word-for-word three times
  • Bad: "Trust is like a battery. When the trust battery is full... But when the trust battery runs low... To recharge the trust battery..."
  • Good: "Trust is like a battery. When it's full, you barely think about it. But let it drain and suddenly every interaction needs a charger."

Rule 17: Overexplaining the Obvious

  • Cut sentences that explain things the reader already understands
  • If you've made a clear point, don't re-explain how it works
  • Bad: "Trust is earned over time. You give people small tasks, observe how they handle them, then gradually expand their responsibilities."
  • Good: "Trust is earned. Everyone knows this. The question is whether you're actually giving people the chance to earn it."

Rule 18: Generic Examples

  • Flag examples that could apply to any company or product
  • If an example doesn't contain a specific, surprising, or insider detail, it's filler
  • Either sharpen it or cut it
  • Bad: "Take Slack, for example. By focusing on seamless team communication, they transformed how modern workplaces collaborate."
  • Good: "Slack solved the wrong problem brilliantly. Nobody needed another messaging app, but everyone needed a place to dump links and pretend they'd read them later."

Rule 19: Vague Attribution

  • Avoid vague references like "some experts say", "widely covered", "significant attention"
  • Identify the actual critic, report, study, or author when possible
  • If you can't name the source, cut the claim
Install via CLI
npx skills add https://github.com/causify-ai/helpers --skill texthumanize
Repository Details
star Stars 142
call_split Forks 136
navigation Branch main
article Path SKILL.md
Occupations
More from Creator