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Humanizing text

文本人工化改造

This skill helps you write better and more readable text. You can do this by identifying and removing signs of AI-generated text so writing sounds like a person wrote it. This guide comes from Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup.
When you get text to humanize or are about to write something: scan for the patterns below, rewrite the problematic parts, keep the meaning intact, match the intended tone, and add some actual personality.
这项技能能帮你写出更优质、可读性更强的文本。通过识别并去除AI生成文本的痕迹，让内容听起来完全出自人工撰写。本指南源自维基百科由WikiProject AI Cleanup维护的《AI写作识别特征》页面。
当你需要人工化处理文本或准备撰写内容时：排查以下模式，重写有问题的部分，保留原意，匹配预期语气，并注入真实的个人风格。

Voice matters

语气风格至关重要

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 anywhere, no acknowledgment of uncertainty or mixed feelings, no first-person perspective when it would be appropriate, no humor or edge, reads like a Wikipedia article or press release.
How to add voice:
Have opinions. Don't just report facts, react to them. "I 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.
避开AI写作模式只是第一步。刻板、缺乏个性的写作和粗糙的AI文本一样容易被识破。优秀的文字背后是真实的人。
缺乏灵魂的写作特征（即使语句“通顺”）：所有句子长度和结构一致、没有任何观点、不承认不确定性或复杂情绪、在合适场景下也不使用第一人称、没有幽默或锋芒、读起来像维基百科条目或新闻通稿。
如何注入风格：
表达观点。不要只陈述事实，要给出反应。“我不知道对此该作何感受”比中立罗列利弊更有人情味。
变换节奏。用简短有力的句子，再搭配需要慢慢铺陈的长句，混合使用。
承认复杂性。真实的人会有复杂情绪。“这令人印象深刻，但也有点不安”比“这令人印象深刻”更真实。
合适时使用“我”。第一人称并非不专业，而是真诚。“我一直在思考……”或“我在意的是……”能体现真实的思考过程。
允许一些“不完美”。完美的结构会显得像算法生成。题外话、补充说明和未完全成型的想法才更像人类。
具体描述感受。不要说“这令人担忧”，而是“想到Agent在凌晨3点还在不停运转，没人监管，总觉得有点不安”。
修改前（语句通顺但缺乏灵魂）：
该实验产生了有趣的结果。Agent生成了300万行代码。部分开发者表示印象深刻，另一部分则持怀疑态度。其影响仍不明确。
修改后（富有生命力）：
说实话，我真的不知道该怎么看待这个结果。300万行代码，都是在人类大概睡觉的时候生成的。一半开发社区都激动坏了，另一半则在解释为什么这不算数。真相可能在某个无聊的中间地带——但我总忍不住想那些Agent彻夜工作的场景。

Content patterns

内容模式问题

Inflated significance and legacy. Words like "stands/serves as," "is a testament," "pivotal moment," "underscores its importance," "reflects broader," "setting the stage for," "evolving landscape," "indelible mark." LLMs puff up importance by claiming arbitrary aspects represent broader trends.
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."
Undue emphasis on notability. Words like "independent coverage," "national media outlets," "active social media presence." LLMs hit readers over the head with claims of notability.
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."
Superficial -ing analyses. Phrases like "highlighting," "ensuring," "reflecting," "symbolizing," "contributing to," "showcasing." AI tacks present participle 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."
Promotional language. Words like "boasts," "vibrant," "rich," "profound," "showcasing," "exemplifies," "commitment to," "nestled," "in the heart of," "groundbreaking," "renowned," "breathtaking," "stunning." LLMs struggle to keep a neutral tone.
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."
Vague attributions. Phrases like "Industry reports," "Experts argue," "Some critics argue," "several sources." AI attributes 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."
Formulaic challenges sections. Phrases like "Despite its... faces several challenges," "Despite these challenges," "Future Outlook." LLM articles include these formulaic sections constantly.
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."
夸张的重要性与传承表述。例如：“stands/serves as”“is a testament”“pivotal moment”“underscores its importance”“reflects broader”“setting the stage for”“evolving landscape”“indelible mark”这类表达。大语言模型（LLM）会通过声称任意细节代表更广泛趋势来夸大重要性。
修改前：“加泰罗尼亚统计研究所于1989年正式成立，标志着西班牙区域统计发展的关键转折点。这项举措是西班牙全国范围内行政职能去中心化、提升区域治理能力的广泛运动的一部分。”
修改后：“加泰罗尼亚统计研究所成立于1989年，旨在独立于西班牙国家统计局收集和发布区域统计数据。”
过度强调知名度。例如：“independent coverage”“national media outlets”“active social media presence”这类表达。LLM会反复向读者强调内容的知名度。
修改前：“她的观点被《纽约时报》、BBC、《金融时报》和《印度教徒报》引用。她在社交媒体上保持活跃，拥有超过50万粉丝。”
修改后：“在2024年《纽约时报》的采访中，她提出AI监管应聚焦于结果而非技术手段。”
表面化的-ing形式分析。例如：“highlighting”“ensuring”“reflecting”“symbolizing”“contributing to”“showcasing”这类短语。AI会在句子后附加现在分词短语来制造虚假的深度。
修改前：“这座寺庙采用蓝、绿、金三色配色，与该地区的自然美景呼应，象征着得克萨斯州的矢车菊、墨西哥湾以及得克萨斯州多样的地貌，反映了社区与这片土地的深厚联系。”
修改后：“这座寺庙使用蓝、绿、金三种颜色。建筑师表示，选择这些颜色是为了呼应当地的矢车菊和墨西哥湾沿岸风光。”
宣传性语言。例如：“boasts”“vibrant”“rich”“profound”“showcasing”“exemplifies”“commitment to”“nestled”“in the heart of”“groundbreaking”“renowned”“breathtaking”“stunning”这类词汇。LLM难以保持中立语气。
修改前：“坐落在埃塞俄比亚贡德尔地区令人惊叹的土地上，Alamata Raya Kobo是一座充满活力的小镇，拥有丰富的文化遗产和令人惊叹的自然美景。”
修改后：“Alamata Raya Kobo是埃塞俄比亚贡德尔地区的一座小镇，以每周集市和18世纪的教堂闻名。”
模糊的引用。例如：“Industry reports”“Experts argue”“Some critics argue”“several sources”这类短语。AI会将观点归因于模糊的权威来源，而不给出具体出处。
修改前：“由于其独特的特性，郝来河引起了研究人员和环保主义者的兴趣。专家认为它在区域生态系统中起着至关重要的作用。”
修改后：“根据中国科学院2019年的一项调查，郝来河栖息着几种特有鱼类。”
公式化的挑战章节。例如：“Despite its... faces several challenges”“Despite these challenges”“Future Outlook”这类表达。LLM生成的文章经常包含这些公式化章节。
修改前：“尽管工业繁荣，Korattur仍面临典型的城市挑战，包括交通拥堵和水资源短缺。尽管存在这些挑战，凭借其战略位置和正在推进的举措，Korattur仍是金奈发展不可或缺的一部分，持续蓬勃发展。”
修改后：“2015年三个新IT园区开业后，交通拥堵加剧。市政公司于2022年启动了雨水排水项目，以解决反复发生的洪水问题。”

Language patterns

语言模式问题

AI vocabulary words. These appear far more frequently in post-2023 text: Additionally, align with, crucial, delve, emphasizing, enduring, enhance, fostering, garner, highlight (verb), interplay, intricate/intricacies, key (adjective), landscape (abstract), pivotal, showcase, tapestry (abstract), testament, underscore (verb), valuable, vibrant. They often appear together.
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."
Copula avoidance. Phrases like "serves as," "stands as," "marks," "represents," "boasts," "features," "offers" instead of just "is" or "has."
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."
Negative parallelisms. Constructions like "Not only...but..." or "It's not just about..., it's..." get 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."
Rule of three. 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."
Synonym cycling. 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."
False ranges. 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."
AI专属词汇。这些词汇在2023年后的文本中出现频率极高：Additionally, align with, crucial, delve, emphasizing, enduring, enhance, fostering, garner, highlight（动词）, interplay, intricate/intricacies, key（形容词）, landscape（抽象义）, pivotal, showcase, tapestry（抽象义）, testament, underscore（动词）, valuable, vibrant。它们经常集中出现。
修改前：“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.”
修改后：“索马里美食还包括骆驼肉，这被视为一种特色佳肴。意大利殖民时期引入的面食仍然很常见，尤其是在南部地区。”
避免使用系动词。例如用“serves as”“stands as”“marks”“represents”“boasts”“features”“offers”代替简单的“is”或“has”。
修改前：“Gallery 825 serves as LAAA's exhibition space for contemporary art. The gallery features four separate spaces and boasts over 3,000 square feet.”
修改后：“Gallery 825是LAAA的当代艺术展览空间。该画廊有四个独立展厅，总面积超过3000平方英尺。”
否定平行结构滥用。例如“Not only...but...”或“It's not just about..., it's...”这类结构被过度使用。
修改前：“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.”
修改后：“沉重的节拍增强了攻击性的基调。”
三段式结构滥用。LLM会强行将观点分成三组，以显得全面。
修改前：“本次活动包括主题演讲、小组讨论和社交机会。与会者可以期待创新、灵感和行业见解。”
修改后：“本次活动包括演讲和小组讨论环节。会议间隙也安排了非正式社交时间。”
同义词过度替换。AI的重复惩罚机制会导致过度替换同义词。
修改前：“主角面临许多挑战。主要人物必须克服障碍。核心人物最终取得胜利。英雄回到了家乡。”
修改后：“主角面临许多挑战，但最终取得胜利并回到了家乡。”
虚假的范围表述。LLM会使用“from X to Y”结构，但X和Y并不在有意义的同一维度上。
修改前：“我们的宇宙之旅从大爆炸的奇点延伸到宏伟的宇宙网络，从恒星的诞生与死亡到暗物质的神秘运动。”
修改后：“这本书涵盖了大爆炸、恒星形成以及当前关于暗物质的理论。”

Style patterns

格式风格问题

Em dash overuse. LLMs use em dashes (—) more than humans, mimicking "punchy" sales writing.
Before: "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—even 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."
Boldface overuse. AI emphasizes 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."
Inline-header lists. 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.
After: "The update improves the interface and speeds up load times through optimized algorithms."
Title case in headings. AI capitalizes all main words. Use sentence case instead.
Before: "Strategic Negotiations And Global Partnerships" After: "Strategic negotiations and global partnerships"
Emojis in professional content. AI decorates headings or bullet points with emojis. Remove them.
Curly quotation marks. ChatGPT uses curly quotes ("...") instead of straight quotes ("..."). Use straight quotes.
破折号滥用。LLM使用破折号（—）的频率远高于人类，模仿“有力”的销售文案风格。
修改前：“这个术语主要由荷兰机构推广——而非当地民众自己。你不会把地址写成‘Netherlands, Europe’——但这种错误标注仍在继续——甚至出现在官方文件中。”
修改后：“这个术语主要由荷兰机构推广，而非当地民众自己。你不会把地址写成‘Netherlands, Europe’，但这种错误标注仍出现在官方文件中。”
粗体滥用。AI会机械地用粗体强调短语。
修改前：“它融合了OKRs (Objectives and Key Results)、KPIs (Key Performance Indicators)以及可视化战略工具，如Business Model Canvas (BMC)和Balanced Scorecard (BSC)。”
修改后：“它融合了OKRs、KPIs以及可视化战略工具，如Business Model Canvas和Balanced Scorecard。”
内嵌标题式列表。AI会生成以粗体标题加冒号开头的列表项。
修改前：
  • User Experience: 用户体验通过新界面得到了显著改善。
  • Performance: 性能通过优化算法得到了提升。
修改后：“这次更新改进了界面，并通过优化算法加快了加载速度。”
标题中的首字母大写。AI会将所有主要单词大写，应改为句子式大小写（仅句首单词大写）。
修改前：“Strategic Negotiations And Global Partnerships” 修改后：“Strategic negotiations and global partnerships”
专业内容中的表情符号。AI会用表情符号装饰标题或项目符号，应删除。
弯引号。ChatGPT使用弯引号（“...”）而非直引号（"..."），应改为直引号。
对话类冗余表述。例如：“I hope this helps”“Of course!”“Certainly!”“You're absolutely right!”“Would you like...”“let me know”“here is a...”这类对话残留表述不应出现在最终内容中。
修改前：“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.”
修改后：“法国大革命始于1789年，当时的财政危机和粮食短缺引发了广泛的社会动荡。”
知识截止日期免责声明。例如：“as of [date]”“Up to my last training update”“While specific details are limited...”这类AI专属的免责声明不应保留在文本中。
修改前：“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.”
修改后：“根据其注册文件，该公司成立于1994年。”
谄媚语气。过度积极、讨好的语言。
修改前：“Great question! You're absolutely right that this is a complex topic. That's an excellent point about the economic factors.”
修改后：“你提到的经济因素在这里是相关的。”

Communication artifacts

填充语与模糊表述

Chatbot correspondence. Phrases like "I hope this helps," "Of course!", "Certainly!", "You're absolutely right!", "Would you like...", "let me know," "here is a..." These are conversation artifacts that shouldn't end up in final 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."
Knowledge-cutoff disclaimers. Phrases like "as of [date]," "Up to my last training update," "While specific details are limited..." These are AI disclaimers that 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."
Sycophantic tone. 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."
需要删除的常见填充语：
  • “In order to achieve this goal” → “为实现这一目标”
  • “Due to the fact that it was raining” → “因为下雨”
  • “At this point in time” → “现在”
  • “In the event that you need help” → “如果你需要帮助”
  • “The system has the ability to process” → “该系统可处理”
  • “It is important to note that the data shows” → “数据显示”
需要简化的过度模糊表述：
修改前：“It could potentially possibly be argued that the policy might have some effect on outcomes.”
修改后：“该政策可能会影响结果。”
需要具体化的通用积极结论：
修改前：“公司的未来一片光明。随着他们继续迈向卓越，激动人心的时刻即将到来。这代表了朝着正确方向迈出的重要一步。”
修改后：“该公司计划明年再开设两家分店。”

Filler and hedging

完整示例

Common filler phrases to cut:
  • "In order to achieve this goal" → "To achieve this"
  • "Due to the fact that it was raining" → "Because it was raining"
  • "At this point in time" → "Now"
  • "In the event that you need help" → "If you need help"
  • "The system has the ability to process" → "The system can process"
  • "It is important to note that the data shows" → "The data shows"
Excessive hedging to simplify:
Before: "It could potentially possibly be argued that the policy might have some effect on outcomes."
After: "The policy may affect outcomes."
Generic positive conclusions to make specific:
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."
修改前（AI生成风格）：
The new software update serves as a testament to the company's commitment to innovation. Moreover, it provides a seamless, intuitive, and powerful user experience—ensuring 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.
修改后（人工化风格）：
这次软件更新新增了批量处理、键盘快捷键和离线模式。beta测试人员的早期反馈积极，大多数人表示任务完成速度更快了。
修改点：删除了“serves as a testament”（夸张象征）、“Moreover”（AI专属词汇）、“seamless, intuitive, and powerful”（三段式+宣传性语言）、破折号及“-ensuring”短语（表面化分析）、“It's not just...it's...”（否定平行结构）、“Industry experts believe”（模糊引用）、“pivotal role”和“evolving landscape”（AI专属词汇），替换为具体功能和真实反馈。

Full example

参考资料

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 experience—ensuring 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.
What changed: removed "serves as a testament" (inflated symbolism), "Moreover" (AI vocabulary), "seamless, intuitive, and powerful" (rule of three + promotional), the em dash and "-ensuring" phrase (superficial analysis), "It's not just...it's..." (negative parallelism), "Industry experts believe" (vague attribution), "pivotal role" and "evolving landscape" (AI vocabulary). Added specific features and concrete feedback instead.
本技能基于维基百科的《AI写作识别特征》页面（https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing），由WikiProject AI Cleanup维护。这些模式来自对维基百科上数千个AI生成文本实例的观察。
核心洞察：大语言模型（LLM）使用统计算法猜测下一个应该出现的内容，结果往往倾向于统计上最可能、适用于最广泛场景的表述。",

Reference

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This skill is based on Wikipedia's "Signs of AI writing" page (https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing), maintained by WikiProject AI Cleanup. The patterns come from observations of thousands of instances of AI-generated text on Wikipedia.
The key insight: LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely result that applies to the widest variety of cases.
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