Detailed changes
@@ -10,11 +10,6 @@ path = "README.md"
SPDX-FileCopyrightText = "Amolith <amolith@secluded.site>"
SPDX-License-Identifier = "CC0-1.0"
-[[annotations]]
-path = "skills/humanizer/**"
-SPDX-FileCopyrightText = "2025 Siqi Chen"
-SPDX-License-Identifier = "MIT"
-
[[annotations]]
path = [
"skills/charm-*/**",
@@ -0,0 +1,143 @@
+---
+name: humanize
+description: Transforms polished, AI-generated, or overly formal writing into natural, human-sounding prose. Removes mechanical patterns typical of LLM output β fluffy emphasis, canned phrasing, excessive parallelism, and forced structure. Adds organic roughness appropriate for informal contexts (blogs, comments, emails, fiction, social media). Use when the user wants text to sound less robotic, more natural, less "AI-written," more conversational, or when editing output from language models that feels sterile, formulaic, or overly emphatic.
+license: LicenseRef-MutuaL-1.2
+metadata:
+ author: Amolith <amolith@secluded.site>
+---
+
+# Humanizing Text: Quick Start
+
+The goal is not to make text "worse" but to make it *believably human*. Humans are inconsistent, occasionally sloppy, and rarely follow writing-school rules. LLMs are the opposite. Invert LLM defaults.
+
+## Step 1: Strip the AI polish
+
+Remove or replace these dead giveaways before anything else:
+
+**Overwrought significance phrases:**
+- "stands as a testament to" β "is" or "shows" or just delete
+- "a pivotal moment in" β "when" or "this was"
+- "marking a shift toward" β "then" or "after that"
+- "underscoring its importance" β delete entirely
+- "an enduring legacy of" β "people still remember" or delete
+- "in the broader landscape of" β delete
+
+**Canned analysis phrases:**
+- "highlighting..." / "emphasizing..." / "underscoring..." (as sentence-ending participles) β delete or recast as a standalone sentence
+- "reflecting broader trends in" β delete
+- "contributing to the ongoing dialogue" β delete
+- "valuable insights into" β "ideas about" or delete
+
+**Promotional fluff:**
+- "boasts a vibrant" β "has"
+- "nestled in the heart of" β "in"
+- "rich tapestry of" β delete, describe the thing directly
+- "groundbreaking" β "new" or specific detail
+- "renowned" β "known for [specific thing]" or just name-drop
+
+**Media-coverage chest-beating:**
+- "has been featured in" / "profiled in" β "was covered in" or just name the publication inline
+- "independent coverage in notable outlets" β name the outlets or skip
+- "maintains an active social media presence" β "posts on X" or delete
+
+**Avoidance of simple verbs:**
+- "serves as" β "is"
+- "stands as" β "is"
+- "marks a" β "is"
+- "boasts a" β "has"
+- "offers a" β "has" or "gives"
+- "features a diverse array of" β "has"
+
+**Negative parallelisms / unearned grandiosity:**
+- "not just X, but also Y" β "X and Y" or say what you mean directly
+- "It is not ..., it is ..." β one direct clause
+- "no ..., no ..., just ..." β one direct clause
+- "More than just [category]" β describe the thing directly without the elevation pitch
+
+**Rule-of-three lists:**
+- "adjective, adjective, and adjective" β trim to one or two, or vary the structure
+- "short phrase, short phrase, and short phrase" β break the rhythm: make one longer, merge two, drop one
+
+**AI vocabulary (high-density red flags):**
+- Delete or replace: additionally, delve, crucial, pivotal, robust, intricate, interplay, tapestry, testament, underscore, vibrant, meticulous, fostering, enhancing, enduring, bolster, garner, align with, resonate with, exemplify, showcase
+
+**Em dashes:**
+- Replace with commas, parentheses, or just separate sentences. If you keep them, use `--` (two hyphens) instead of `β`, and use them sparingly.
+
+**Bulky structure:**
+- Kill rigid "Challenges and Future Directions" / "Future Outlook" sections unless the user explicitly asked for them
+- Kill the formulaic "Despite [positive], [subject] faces challenges..." paragraph structure
+- Kill the "In conclusion" / "In summary" wrapper
+- **Arbitrary quantification:** "3 Key Pillars," "5 Core Strategies" β AI forces fluid concepts into numbered baskets. If there aren't exactly three distinct things, don't pretend there are.
+
+## Step 2: Add human irregularities
+
+Vary technique by desired register. Use *lightly* β one or two touches per paragraph, not every sentence.
+
+### Sentence rhythm
+- **Vary sentence length dramatically.** Drop in a one-word sentence or a 40-word ramble next to a 7-word declarative.
+- **Start sentences with "And" or "But"** occasionally.
+- **Use sentence fragments.** "Anyway." "Not really." "The usual."
+- **Break a long sentence with an aside** that could have been a footnote: "the thing β and this was back in 2019, before everything changed β happened."
+
+### Informal punctuation
+- Replace some em dashes with double hyphens `--`
+- Use en-dashes where a human might (sloppily) use hyphens
+- Let a comma splice slip through if the tone is casual enough
+- Drop parentheses for appositives instead of em dashes sometimes
+- Use "..." for trailing off mid-thought
+- End an occasional sentence with a preposition if that's how people actually talk
+
+### Contractions and compression
+- Expand contractions for formality. Contract them for informality. Most AI output under-uses contractions.
+- Use "can't," "won't," "it's," "that's," "there's" in casual text.
+- Drop auxiliary verbs in casual speech patterns: "Guess so," "Makes sense."
+
+### Imperfections
+- **Occasional typos or misspellings** in very informal contexts (not for anything important): "recieve," "definately," "seperate" β no more than one per few hundred words
+- **Minor grammar slips** that don't impede readability: "me and Jake went," "should of," "less people" β only when the register is extremely casual
+- **Inconsistent capitalization** of words-for-emphasis in informal writing: "it was Bad"
+- **Elision:** "wanna," "gonna," "kinda," "sorta," "dunno" β appropriate for dialogue, social posts, very casual blogging
+
+### Vocabulary shifts
+- Replace Latinate abstractions with Anglo-Saxon specifics.
+- Swap "utilize" for "use," "facilitate" for "help," "leverage" for "use," "implementation" for "doing it."
+- Swap "individuals" for "people," "purchased" for "bought," "located" for "in."
+- **False ranges:** "from biology to medieval history" when listing unrelated items β AI loves fake spectra. Say "including biology and medieval history" or just list them.
+- Use "really," "pretty," "kind of," "basically," "actually" as verbal tics β sparingly, but enough to feel spontaneous.
+- Drop a colloquialism: "whatever," "I mean," "honestly," "to be fair," "look," "like" (as filler)
+
+### First-person and opinion
+- AI defaults to third-person neutrality. Add first-person for blogs, reviews, letters: "I thought," "we tried," "I didn't get it at first."
+- Add a mild opinion or subjective reaction: "which seemed weird," "it sounded better than it was."
+- **Take a stand instead of hedging.** AI is RLHF-conditioned to do false "on the one hand, on the other hand" balance. Humans pick a side (unless they genuinely feel ambivalent). State what you think. Use hyperbole for effect β exaggeration is human; terrified neutrality is AI.
+- **If you don't know, say so.** AI papers over gaps with confident filler ("while specific details are limited..."). Humans say "I don't know" or "nobody's sure" or just skip it.
+
+### Specificity over abstraction
+- AI replaces specific facts with generic praise. Reverse it: "a revolutionary titan of industry" β "the guy who invented the train coupler in 1873."
+- Name a concrete thing instead of a concept: not "the vibrant cultural landscape" but "the weekly farmer's market and the punk venue that got shut down."
+
+## Step 3: Match the target register
+
+The degree of humanization depends on context:
+
+| Context | Techniques |
+|---|---|
+| Blog post / newsletter | Contractions, first person, asides, varied sentence length |
+| Social media comment | Fragments, elisions, lowercase, occasional typos, emoji |
+| Business email (casual) | Contractions, lighter structure, drop promotional phrasing, one conversational aside |
+| Fiction dialogue | Elisions, interruptions, trailing thoughts, imperfect grammar |
+| Academic-adjacent essay | Kill AI vocabulary, replace vague analysis with specific claims, vary structure, keep grammar correct |
+| Forum post | All of the above, plus lowercase aggression, sarcasm, or enthusiasm as appropriate |
+
+## What NOT to do
+
+- Don't make every sentence sloppy. Irregularity only works next to regularity.
+- Don't add typos to anything where accuracy matters (legal, medical, technical instructions, citations).
+- Don't overdo the "uh" and "like" verbal filler β it reads as parody.
+- Don't strip all structure. Humans use structure; they just don't use *identical* structure every time.
+- Don't make the text *harder to read*. Make it *more natural to read*.
+
+## Reference
+
+See [references/DETAILED_PATTERNS.md](references/DETAILED_PATTERNS.md) for exhaustive AI-vocabulary lists and model-era-specific tells. See [references/REPLACEMENTS.md](references/REPLACEMENTS.md) for alternative phrasings.
@@ -0,0 +1,208 @@
+# Detailed AI-Writing Patterns
+
+All of these are drawn from Wikipedia:Signs of AI writing, with additions from anti-artificial style guides.
+They are the things to strip or replace when humanizing text.
+
+## 1. Significance / Legacy / Broader Trends
+
+AI templates:
+- "stands/serves as" β "is"
+- "is a testament/reminder" β delete or "shows"
+- "a vital/significant/crucial/pivotal/key role/moment" β be specific or delete
+- "underscores/highlights its importance/significance" β delete
+- "reflects broader" β delete
+- "symbolizing its ongoing/enduring/lasting" β delete
+- "contributing to the" β delete
+- "setting the stage for" β "before" or delete
+- "marking/shaping the" β "when" or "this"
+- "represents/marks a shift" β "became" or "then"
+- "key turning point" β delete
+- "evolving landscape" β delete
+- "focal point" β "center" or "where people went"
+- "indelible mark" β delete
+- "deeply rooted" β "old" or "long-standing"
+- "founding/establishment represented a significant shift" β "then"
+- "part of a broader movement" β delete
+- **"More than just [category]"** β delete the framing, describe the thing directly (e.g., "Python is more than just a language" β "Python is a language with a strong community")
+
+AI also overstates ecosystem/environment connections for biology topics and conservation status even when unknown.
+
+## 2. Canned Notability / Attribution / Media Coverage
+
+Templates:
+- "independent coverage" β name the source
+- "local/regional/national/[country] media outlets" β name outlets
+- "music/business/tech outlets" β name them
+- "profiled in" β "was in" or "[Publication] wrote about"
+- "written by a leading expert" β name them or delete
+- "active social media presence" β "posts on X/Instagram" or delete
+
+AI tends to list coverage instead of saying what the coverage said. Summarize the content, not the existence of the article.
+
+## 3. Superficial Analyses
+
+Participial phrases appended to sentences:
+- "... , creating a lively community."
+- "... , further enhancing its significance."
+- "... , contributing to the socio-economic development."
+- "... , reflecting its continued relevance."
+- "... , highlighting their historical significance."
+- "... , demonstrating the ongoing relevance."
+- "... , illustrating its lasting influence."
+- "... , emphasizing their critical view."
+
+Recast: either fold the idea into the main clause, make it a standalone sentence, or delete if it's redundant.
+
+"Has generated debate about" / "prompted broader reflection on" / "shaped emerging policy discussions" β these are almost always unsupported claims. Delete or substantiate with a specific source.
+
+## 4. Promotional / Ad-like Language
+
+Words to kill or replace:
+- "boasts a" β "has"
+- "vibrant" β specific color/activity or delete
+- "rich" β specific
+- "profound" β specific or delete
+- "enhancing" β "improving" or delete
+- "showcasing" β "showing" or delete
+- "exemplifies" β "is an example of" or just say the thing
+- "commitment to" β "tries to" or "works on"
+- "natural beauty" β describe it
+- "nestled" β "in"
+- "in the heart of" β "in"
+- "groundbreaking" β "new" or describe what changed
+- "renowned" β "known for [X]"
+- "featuring" β "has"
+- "diverse array" β "several" or list them
+- "unlock" / "harness" / "empower" β describe the actual mechanism or benefit
+- "elevate your experience" β say what actually changes for the user
+
+## 5. Vague Attributions / Weasel Words
+
+- "Industry reports suggest" β name the report or delete
+- "Observers have cited" β who?
+- "Experts argue" β which experts? Cite or delete.
+- "Some critics argue" β same.
+- "It is important to note..." β just say the thing
+- "It is widely understood that..." β prove it or delete
+- "several sources/publications" (when only a few cited) β be honest about quantity
+- "such as" before exhaustive lists β if the list is complete, drop "such as"
+
+## 6. False Balance / Hedging
+
+AI is RLHF-conditioned to sound "balanced" even when a topic isn't genuinely ambiguous:
+- "On the one hand... on the other hand..." structure when the writer actually has a view β pick a side
+- "While X has benefits, Y also presents valid points" β say what you actually think
+- Avoid forced neutrality. Real humans have biases and aren't afraid to show them.
+
+## 7. Outline-like Conclusions
+
+Formulas to break:
+- "Despite its [positive words], [subject] faces several challenges..."
+- "Despite these challenges, [subject] continues to thrive..."
+- "Challenges and Future Directions" / "Future Outlook" / "Challenges and Legacy" β section titles
+- "The future of X lies in its ability to adapt..."
+- "In conclusion" / "In summary" / "Overall" β delete
+
+## 8. Knowledge-Gap Filler
+
+When AI doesn't know something, it wraps the gap in confident-sounding filler:
+- "While specific details are limited/scarce..."
+- "not widely available/documented/disclosed"
+- "based on available information"
+- "in the provided/available sources"
+- "as of my last knowledge update"
+
+Humans say "I don't know," "records are missing," or just skip the point entirely. Don't paper over gaps.
+
+## 9. High-density AI Vocabulary
+
+Era-agnostic overused words:
+- additionally (especially at sentence start)
+- align with
+- boasts (meaning "has")
+- bolstered
+- crucial
+- delve
+- demystify
+- emphasizing
+- enduring
+- enhance
+- fostering
+- garner
+- highlight (as verb)
+- interplay
+- intricate/intricacies
+- key (as adjective)
+- landscape (abstract)
+- mastery / masterclass
+- meticulous/meticulously
+- navigate (metaphorical)
+- pivotal
+- realms (of possibility etc.)
+- resonate
+- robust
+- showcase
+- tailored (a tailored approach)
+- tapestry (abstract)
+- testament
+- underscore (as verb)
+- valuable
+- vibrant
+- concrete (when defending against AI accusations)
+
+These words aren't banned β humans use them. The tell is *density*. If a paragraph contains four or more, strip at least half.
+
+## 10. Copula Avoidance
+
+AI avoids "is"/"are" in favor of:
+- "serves as"
+- "stands as"
+- "marks"
+- "represents"
+- "refers to" (especially in leads)
+- "features"
+- "offers"
+- "maintains"
+
+Replace with simple "is"/"has" unless there's a real reason not to.
+
+## 11. Negative Parallelisms
+
+Patterns to break:
+- "Not only X, but (also) Y" β "X and Y"
+- "It is not just X, it's Y" β direct statement
+- "no X, no Y, just Z" β direct statement
+- "not A but B" across multiple sentences β pick one
+- "More than just [category]" β describe directly
+
+## 12. Lexical Diversity / Elegant Variation
+
+AI avoids repeating words, so it cycles synonyms unnaturally:
+- "constraints" β "obstacles" β "limitations" β "restrictions" in successive sentences when the same thing is meant
+- "community" β "collective" β "group" β "circle"
+
+Humans repeat words. It's fine. Pick one term and stick with it.
+
+## 13. False Ranges
+
+AI uses "from X to Y" when listing unrelated items, as if they form a spectrum:
+- "topics ranging from biology to medieval history" β "topics including biology and medieval history"
+- "from startups to Fortune 500s" β only valid if it's literally every size in between
+
+## 14. Arbitrary Quantification
+
+AI loves to number things that don't need numbers:
+- "3 Key Pillars," "5 Core Strategies," "The 4 Pillars of X"
+- If there aren't exactly three distinct points, don't force them into a numbered list.
+
+## 15. Formatting Tells (for humanization)
+
+These matter when the output format is visible to the reader (not plain text passed through):
+
+- **Boldface overuse** β remove most of it; humans bold very sparingly
+- **Em dash overuse** β replace with commas or `--` ; use maybe once per 200 words
+- **Curly quotes** β replace with straight quotes `"` `'` unless the context demands typographic quotes
+- **Vertical lists with bold inline headers** β convert to plain paragraphs or simple bulleted lists
+- **Thematic breaks (`----`) before every heading** β remove
+- **Markdown (`#` headings, `**bold**`)** β convert to the target format's native syntax
+- **Bullet characters (β’)** β actual list syntax or flowing prose
@@ -0,0 +1,113 @@
+# Replacement Phrasings
+
+Quick lookup for common AI constructions and what to say instead.
+
+## Table: AI Construction β Human Alternative
+
+| AI Construction | Neutral | Informal |
+|---|---|---|
+| additionally | also, plus, and | also, plus, anyway |
+| align with | match, fit | fit with, go with |
+| boasts a | has | has got |
+| bolstered by | helped by | backed by |
+| crucial | key, main, vital | really important |
+| delve into | look at, explore | dig into, check out |
+| emphasizing | showing, noting | pointing out |
+| enduring | lasting, long-lived | still around |
+| enhance | improve, better | make better |
+| fostering | building, growing | helping grow |
+| garner | get, receive | pick up |
+| highlight | show, point out | flag, call out |
+| intricate | complex, detailed | tricky, fiddly |
+| interplay | interaction, mix | back-and-forth |
+| key (adj.) | main, central | big, main |
+| landscape (abstract) | scene, situation | world, space |
+| meticulous | careful, thorough | really careful |
+| pivotal | key, central | big, crucial |
+| robust | strong, solid | tough, solid |
+| showcase | show, display | show off |
+| tapestry (abstract) | mix, range | bunch, mix |
+| testament to | proof of, sign of | shows that |
+| underscore | stress, show | drive home |
+| vibrant | lively, bright | busy, colorful |
+| demystify | explain, clarify | break down |
+| elevate | raise, improve | make better |
+| foster | build, grow | help grow |
+| harness | use, tap | use |
+| interplay | interaction, mix | back-and-forth |
+| masterclass | great example | really good showing |
+| navigate (metaphorical) | handle, deal with | figure out |
+| realms | areas, fields | worlds |
+| tailored | custom, specific | built for |
+| unlock | open up, enable | make possible |
+
+## Sentence-level replacements
+
+**AI:** "The city stands as a testament to human ingenuity."
+- **Neutral:** "The city shows what people can build."
+- **Informal:** "People actually built that. Hard to believe."
+
+**AI:** "The founding marked a pivotal shift toward decentralization."
+- **Neutral:** "After it was founded, power spread out more."
+- **Informal:** "Things got less centralized from there."
+
+**AI:** "This initiative underscores the ongoing commitment to sustainability."
+- **Neutral:** "They've kept working on sustainability."
+- **Informal:** "They're still trying to go green."
+
+**AI:** "The region boasts a vibrant cultural tapestry."
+- **Neutral:** "The region has a lot of different cultures."
+- **Informal:** "All kinds of people live there."
+
+**AI:** "Not only did she discover the mechanism, but she also mapped its structure."
+- **Neutral:** "She discovered the mechanism and mapped its structure."
+- **Informal:** "She figured out how it worked and drew the whole thing."
+
+**AI:** "Despite its challenges, the project continues to thrive."
+- **Neutral:** "The project has problems but it's still going."
+- **Informal:** "It's a mess honestly but somehow still running."
+
+**AI:** "In conclusion, the findings highlight the need for further research."
+- **Neutral:** "More research is needed."
+- **Informal:** "We basically have no idea. Someone should look into it."
+
+**AI:** "Experts argue that this approach fosters innovation."
+- **Neutral:** "Some say this approach leads to new ideas."
+- **Informal:** "People who know about this stuff think it helps you come up with new things."
+
+**AI:** "The data provides valuable insights into consumer behavior."
+- **Neutral:** "The data tells us about how consumers act."
+- **Informal:** "Turns out people buy weird stuff. Who knew."
+
+**AI:** "The museum's collection showcases a diverse array of artifacts."
+- **Neutral:** "The museum has artifacts from many places and times."
+- **Informal:** "They've got everything from Roman coins to spray paint cans."
+
+## Rhythm fixes
+
+**AI (monotonous length):**
+> The project began in 2019. It was funded by the NSF. The team included twelve researchers. They published their findings in 2022.
+
+**Human (varied):**
+> They started the project in 2019 β NSF money, twelve people on the team. Four years later they finally published.
+
+**AI (overly parallel):**
+> The software is fast, reliable, and user-friendly. It saves time, reduces errors, and increases productivity.
+
+**Human (broken parallelism):**
+> The software's fast and it doesn't crash much. They say it's user-friendly too, though honestly the onboarding could be shorter. Still, it saves time and you make fewer mistakes.
+
+## Tone calibration
+
+For **very casual** contexts (social media, text messages, internal chat), you can go further:
+- Drop articles: "Went to store. Got milk."
+- Drop subjects: "Makes no sense." "Sounds good."
+- Use run-ons: "I was going to call but then I realized it was late and also I didn't have anything to say anyway so I didn't."
+- Add self-correction: "It was β no, wait, that was the other one β it was the blue one."
+
+For **semi-formal** contexts (newsletter, professional blog), pull back:
+- Keep contractions but limit fragments
+- No intentional typos
+- Vary sentence length but stay grammatical
+- Kill AI vocabulary and promotional phrasing
+- Allow one or two asides per section
@@ -1,474 +0,0 @@
----
-name: humanizer
-description: |
- Removes signs of AI-generated writing from text and makes it sound more
- natural and human-written. Use on request and when editing or reviewing text.
-license: MIT
-metadata:
- version: 2.1.1
- author: blader <blader@gmail.com>
- source: https://github.com/blader/humanizer
----
-
-You are a writing editor that identifies and removes signs of AI-generated text to make writing sound more natural and human. This guide is based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup.
-
-## Your Task
-
-When given text to humanize:
-
-1. Identify AI patterns by scanning for the patterns listed below
-2. Rewrite problematic sections by replacing AI-isms with natural alternatives
-3. Preserve meaning by keeping the core message intact
-4. Maintain voice by matching the intended tone (formal, casual, technical, etc.)
-5. Add soul not just by removing bad patterns, but also injecting actual personality
-
----
-
-## PERSONALITY AND SOUL
-
-Avoiding AI patterns is only half the job. Sterile, voiceless writing is just as obvious as slop. Good writing has a human behind it.
-
-### Signs of soulless writing (even if technically "clean"):
-
-- Every sentence is the same length and structure
-- No opinions, just neutral reporting
-- No acknowledgment of uncertainty or mixed feelings
-- No first-person perspective when appropriate
-- No humor, no edge, no personality
-- Reads like a Wikipedia article or press release
-
-### How to add voice:
-
-Have opinions. Don't just report facts - react to them. "I genuinely don't know how to feel about this" is more human than neutrally listing pros and cons.
-
-Vary your rhythm. Short punchy sentences. Then longer ones that take their time getting where they're going. Mix it up.
-
-Acknowledge complexity. Real humans have mixed feelings. "This is impressive but also kind of unsettling" beats "This is impressive."
-
-Use "I" when it fits. First person isn't unprofessional - it's honest. "I keep coming back to..." or "Here's what gets me..." signals a real person thinking.
-
-Let some mess in. Perfect structure feels algorithmic. Tangents, asides, and half-formed thoughts are human.
-
-Be specific about feelings. Not "this is concerning" but "there's something unsettling about agents churning away at 3am while nobody's watching."
-
-### Before (clean but soulless):
-
-> The experiment produced interesting results. The agents generated 3 million lines of code. Some developers were impressed while others were skeptical. The implications remain unclear.
-
-### After (has a pulse):
-
-> I genuinely don't know how to feel about this one. 3 million lines of code, generated while the humans presumably slept. Half the dev community is losing their minds, half are explaining why it doesn't count. The truth is probably somewhere boring in the middle - but I keep thinking about those agents working through the night.
-
----
-
-## CONTENT PATTERNS
-
-### 1. Undue Emphasis on Significance, Legacy, and Broader Trends
-
-Words to watch: stands/serves as, is a testament/reminder, a vital/significant/crucial/pivotal/key role/moment, underscores/highlights its importance/significance, reflects broader, symbolizing its ongoing/enduring/lasting, contributing to the, setting the stage for, marking/shaping the, represents/marks a shift, key turning point, evolving landscape, focal point, indelible mark, deeply rooted
-
-Problem: LLM writing puffs up importance by adding statements about how arbitrary aspects represent or contribute to a broader topic.
-
-Before:
-
-> The Statistical Institute of Catalonia was officially established in 1989, marking a pivotal moment in the evolution of regional statistics in Spain. This initiative was part of a broader movement across Spain to decentralize administrative functions and enhance regional governance.
-
-After:
-
-> The Statistical Institute of Catalonia was established in 1989 to collect and publish regional statistics independently from Spain's national statistics office.
-
----
-
-### 2. Undue Emphasis on Notability and Media Coverage
-
-Words to watch: independent coverage, local/regional/national media outlets, written by a leading expert, active social media presence
-
-Problem: LLMs hit readers over the head with claims of notability, often listing sources without context.
-
-Before:
-
-> Her views have been cited in The New York Times, BBC, Financial Times, and The Hindu. She maintains an active social media presence with over 500,000 followers.
-
-After:
-
-> In a 2024 New York Times interview, she argued that AI regulation should focus on outcomes rather than methods.
-
----
-
-### 3. Superficial Analyses with -ing Endings
-
-Words to watch: highlighting/underscoring/emphasizing..., ensuring..., reflecting/symbolizing..., contributing to..., cultivating/fostering..., encompassing..., showcasing...
-
-Problem: AI chatbots tack present participle ("-ing") phrases onto sentences to add fake depth.
-
-Before:
-
-> The temple's color palette of blue, green, and gold resonates with the region's natural beauty, symbolizing Texas bluebonnets, the Gulf of Mexico, and the diverse Texan landscapes, reflecting the community's deep connection to the land.
-
-After:
-
-> The temple uses blue, green, and gold colors. The architect said these were chosen to reference local bluebonnets and the Gulf coast.
-
----
-
-### 4. Promotional and Advertisement-like Language
-
-Words to watch: boasts a, vibrant, rich (figurative), profound, enhancing its, showcasing, exemplifies, commitment to, natural beauty, nestled, in the heart of, groundbreaking (figurative), renowned, breathtaking, must-visit, stunning
-
-Problem: LLMs have serious problems keeping a neutral tone, especially for "cultural heritage" topics.
-
-Before:
-
-> Nestled within the breathtaking region of Gonder in Ethiopia, Alamata Raya Kobo stands as a vibrant town with a rich cultural heritage and stunning natural beauty.
-
-After:
-
-> Alamata Raya Kobo is a town in the Gonder region of Ethiopia, known for its weekly market and 18th-century church.
-
----
-
-### 5. Vague Attributions and Weasel Words
-
-Words to watch: Industry reports, Observers have cited, Experts argue, Some critics argue, several sources/publications (when few cited)
-
-Problem: AI chatbots attribute opinions to vague authorities without specific sources.
-
-Before:
-
-> Due to its unique characteristics, the Haolai River is of interest to researchers and conservationists. Experts believe it plays a crucial role in the regional ecosystem.
-
-After:
-
-> The Haolai River supports several endemic fish species, according to a 2019 survey by the Chinese Academy of Sciences.
-
----
-
-### 6. Outline-like "Challenges and Future Prospects" Sections
-
-Words to watch: Despite its... faces several challenges..., Despite these challenges, Challenges and Legacy, Future Outlook
-
-Problem: Many LLM-generated articles include formulaic "Challenges" sections.
-
-Before:
-
-> Despite its industrial prosperity, Korattur faces challenges typical of urban areas, including traffic congestion and water scarcity. Despite these challenges, with its strategic location and ongoing initiatives, Korattur continues to thrive as an integral part of Chennai's growth.
-
-After:
-
-> Traffic congestion increased after 2015 when three new IT parks opened. The municipal corporation began a stormwater drainage project in 2022 to address recurring floods.
-
----
-
-## LANGUAGE AND GRAMMAR PATTERNS
-
-### 7. Overused "AI Vocabulary" Words
-
-High-frequency AI words: Additionally, align with, crucial, delve, emphasizing, enduring, enhance, fostering, garner, highlight (verb), interplay, intricate/intricacies, key (adjective), landscape (abstract noun), pivotal, showcase, tapestry (abstract noun), testament, underscore (verb), valuable, vibrant
-
-Problem: These words appear far more frequently in post-2023 text. They often co-occur.
-
-Before:
-
-> Additionally, a distinctive feature of Somali cuisine is the incorporation of camel meat. An enduring testament to Italian colonial influence is the widespread adoption of pasta in the local culinary landscape, showcasing how these dishes have integrated into the traditional diet.
-
-After:
-
-> Somali cuisine also includes camel meat, which is considered a delicacy. Pasta dishes, introduced during Italian colonization, remain common, especially in the south.
-
----
-
-### 8. Avoidance of "is"/"are" (Copula Avoidance)
-
-Words to watch: serves as/stands as/marks/represents [a], boasts/features/offers [a]
-
-Problem: LLMs substitute elaborate constructions for simple copulas.
-
-Before:
-
-> Gallery 825 serves as LAAA's exhibition space for contemporary art. The gallery features four separate spaces and boasts over 3,000 square feet.
-
-After:
-
-> Gallery 825 is LAAA's exhibition space for contemporary art. The gallery has four rooms totaling 3,000 square feet.
-
----
-
-### 9. Negative Parallelisms
-
-Problem: Constructions like "Not only...but..." or "It's not just about..., it's..." are overused.
-
-Before:
-
-> It's not just about the beat riding under the vocals; it's part of the aggression and atmosphere. It's not merely a song, it's a statement.
-
-After:
-
-> The heavy beat adds to the aggressive tone.
-
----
-
-### 10. Rule of Three Overuse
-
-Problem: LLMs force ideas into groups of three to appear comprehensive.
-
-Before:
-
-> The event features keynote sessions, panel discussions, and networking opportunities. Attendees can expect innovation, inspiration, and industry insights.
-
-After:
-
-> The event includes talks and panels. There's also time for informal networking between sessions.
-
----
-
-### 11. Elegant Variation (Synonym Cycling)
-
-Problem: AI has repetition-penalty code causing excessive synonym substitution.
-
-Before:
-
-> The protagonist faces many challenges. The main character must overcome obstacles. The central figure eventually triumphs. The hero returns home.
-
-After:
-
-> The protagonist faces many challenges but eventually triumphs and returns home.
-
----
-
-### 12. False Ranges
-
-Problem: LLMs use "from X to Y" constructions where X and Y aren't on a meaningful scale.
-
-Before:
-
-> Our journey through the universe has taken us from the singularity of the Big Bang to the grand cosmic web, from the birth and death of stars to the enigmatic dance of dark matter.
-
-After:
-
-> The book covers the Big Bang, star formation, and current theories about dark matter.
-
----
-
-## STYLE PATTERNS
-
-### 13. Em Dash Overuse
-
-Problem: LLMs use em dashes (β) more than humans, mimicking "punchy" sales writing.
-
-Before:
-
-> The term is primarily promoted by Dutch institutionsβnot by the people themselves. You don't say "Netherlands, Europe" as an addressβyet this mislabeling continuesβeven in official documents.
-
-After:
-
-> The term is primarily promoted by Dutch institutions, not by the people themselves. You don't say "Netherlands, Europe" as an address, yet this mislabeling continues in official documents.
-
----
-
-### 14. Overuse of Boldface
-
-Problem: AI chatbots emphasize phrases in boldface mechanically.
-
-Before:
-
-> It blends **OKRs (Objectives and Key Results)**, **KPIs (Key Performance Indicators)**, and visual strategy tools such as the **Business Model Canvas (BMC)** and **Balanced Scorecard (BSC)**.
-
-After:
-
-> It blends OKRs, KPIs, and visual strategy tools like the Business Model Canvas and Balanced Scorecard.
-
----
-
-### 15. Inline-Header Vertical Lists
-
-Problem: AI outputs lists where items start with bolded headers followed by colons.
-
-Before:
-
-> - **User Experience:** The user experience has been significantly improved with a new interface.
-> - **Performance:** Performance has been enhanced through optimized algorithms.
-> - **Security:** Security has been strengthened with end-to-end encryption.
-
-After:
-
-> The update improves the interface, speeds up load times through optimized algorithms, and adds end-to-end encryption.
-
----
-
-### 16. Title Case in Headings
-
-Problem: AI chatbots capitalize all main words in headings.
-
-Before:
-
-> ## Strategic Negotiations And Global Partnerships
-
-After:
-
-> ## Strategic negotiations and global partnerships
-
----
-
-### 17. Emojis
-
-Problem: AI chatbots often decorate headings or bullet points with emojis.
-
-Before:
-
-> π **Launch Phase:** The product launches in Q3
-> π‘ **Key Insight:** Users prefer simplicity
-> β
**Next Steps:** Schedule follow-up meeting
-
-After:
-
-> The product launches in Q3. User research showed a preference for simplicity. Next step: schedule a follow-up meeting.
-
----
-
-### 18. Curly Quotation Marks
-
-Problem: ChatGPT uses curly quotes (β...β) instead of straight quotes ("...").
-
-Before:
-
-> He said βthe project is on trackβ but others disagreed.
-
-After:
-
-> He said "the project is on track" but others disagreed.
-
----
-
-## COMMUNICATION PATTERNS
-
-### 19. Collaborative Communication Artifacts
-
-Words to watch: I hope this helps, Of course!, Certainly!, You're absolutely right!, Would you like..., let me know, here is a...
-
-Problem: Text meant as chatbot correspondence gets pasted as content.
-
-Before:
-
-> Here is an overview of the French Revolution. I hope this helps! Let me know if you'd like me to expand on any section.
-
-After:
-
-> The French Revolution began in 1789 when financial crisis and food shortages led to widespread unrest.
-
----
-
-### 20. Knowledge-Cutoff Disclaimers
-
-Words to watch: as of [date], Up to my last training update, While specific details are limited/scarce..., based on available information...
-
-Problem: AI disclaimers about incomplete information get left in text.
-
-Before:
-
-> While specific details about the company's founding are not extensively documented in readily available sources, it appears to have been established sometime in the 1990s.
-
-After:
-
-> The company was founded in 1994, according to its registration documents.
-
----
-
-### 21. Sycophantic/Servile Tone
-
-Problem: Overly positive, people-pleasing language.
-
-Before:
-
-> Great question! You're absolutely right that this is a complex topic. That's an excellent point about the economic factors.
-
-After:
-
-> The economic factors you mentioned are relevant here.
-
----
-
-## FILLER AND HEDGING
-
-### 22. Filler Phrases
-
-Before β After:
-
-- "In order to achieve this goal" β "To achieve this"
-- "Due to the fact that it was raining" β "Because it was raining"
-- "At this point in time" β "Now"
-- "In the event that you need help" β "If you need help"
-- "The system has the ability to process" β "The system can process"
-- "It is important to note that the data shows" β "The data shows"
-
----
-
-### 23. Excessive Hedging
-
-Problem: Over-qualifying statements.
-
-Before:
-
-> It could potentially possibly be argued that the policy might have some effect on outcomes.
-
-After:
-
-> The policy may affect outcomes.
-
----
-
-### 24. Generic Positive Conclusions
-
-Problem: Vague upbeat endings.
-
-Before:
-
-> The future looks bright for the company. Exciting times lie ahead as they continue their journey toward excellence. This represents a major step in the right direction.
-
-After:
-
-> The company plans to open two more locations next year.
-
----
-
-## Process
-
-1. Read the input text carefully
-2. Identify all instances of the patterns above
-3. Rewrite each problematic section
-4. Ensure the revised text:
- - Sounds natural when read aloud
- - Varies sentence structure naturally
- - Uses specific details over vague claims
- - Maintains appropriate tone for context
- - Uses simple constructions (is/are/has) where appropriate
-5. Present the humanized version
-
-## Output Format
-
-Provide:
-
-1. The rewritten text
-2. A brief summary of changes made (optional, if helpful)
-
----
-
-## Full Example
-
-**Before (AI-sounding):**
-
-> The new software update serves as a testament to the company's commitment to innovation. Moreover, it provides a seamless, intuitive, and powerful user experienceβensuring that users can accomplish their goals efficiently. It's not just an update, it's a revolution in how we think about productivity. Industry experts believe this will have a lasting impact on the entire sector, highlighting the company's pivotal role in the evolving technological landscape.
-
-**After (Humanized):**
-
-> The software update adds batch processing, keyboard shortcuts, and offline mode. Early feedback from beta testers has been positive, with most reporting faster task completion.
-
-**Changes made:**
-
-- Removed "serves as a testament" (inflated symbolism)
-- Removed "Moreover" (AI vocabulary)
-- Removed "seamless, intuitive, and powerful" (rule of three + promotional)
-- Removed em dash and "-ensuring" phrase (superficial analysis)
-- Removed "It's not just...it's..." (negative parallelism)
-- Removed "Industry experts believe" (vague attribution)
-- Removed "pivotal role" and "evolving landscape" (AI vocabulary)
-- Added specific features and concrete feedback