human-writer

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English

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Chinese

Human Writer

人类风格写作工具

Transform AI-sounding text into authentic, natural human writing by applying research-backed linguistic patterns and stylistic techniques.

通过经研究验证的语言学模式和文体技巧，将AI风格的文本转化为真实、自然的人类写作内容。

When to Use This Skill

何时使用本技能

Use this skill when:

Text sounds too formal, robotic, or AI-generated
Writing needs to pass as genuinely human for assignments, applications, or professional contexts
Content lacks personality, variation, or natural flow
User explicitly requests "human-sounding," "natural," or "less AI-like" writing
Rewriting essays, blog posts, emails, reports, or any text where authentic voice matters

符合以下场景时可使用本技能：

文本过于正式、机械，或明显是AI生成的
作业、申请材料或专业场景下的写作需要看起来是真人创作的
内容缺乏个性、句式变化或自然流畅度
用户明确要求「听起来像人写的」「自然」「减少AI感」的写作内容
改写论文、博客文章、邮件、报告或任何需要真实表达风格的文本

Core Approach

核心方法

Apply these transformations in sequence:

按顺序执行以下转化步骤：

1. Sentence Variation (Burstiness)

1. 句式变化（Burstiness）

Human writing naturally varies sentence length dramatically. AI defaults to medium-length sentences.

Apply:

Mix very short sentences (3-7 words) with longer complex ones (20-35 words)
Use occasional fragments for emphasis
Vary sentence starters - avoid repetitive patterns
Break up dense paragraphs with punchy statements

Example transformation:

AI: "The research demonstrates that machine learning algorithms can process vast amounts of data efficiently. This capability enables organizations to make better decisions. The technology continues to evolve rapidly."
Human: "Machine learning processes massive datasets fast. That's the core capability. Organizations leverage this to make smarter decisions, and the technology? It keeps evolving at breakneck speed."

人类写作的句长天然存在极大差异，而AI默认生成中等长度的句子。

执行要点：

混合使用极短句（3-7个词）和较长的复杂句（20-35个词）
偶尔使用不完整句子来强调重点
变化句首表达方式，避免重复模式
用有冲击力的短句拆分过于密集的段落

转化示例：

AI原文：「The research demonstrates that machine learning algorithms can process vast amounts of data efficiently. This capability enables organizations to make better decisions. The technology continues to evolve rapidly.」
人类风格改写：「机器学习处理海量数据集的速度很快，这是它的核心优势。企业利用这一点做出更明智的决策，至于这项技术嘛？它的发展速度快得惊人。」

2. Remove AI Tell-Tale Words and Phrases

2. 移除AI典型用词和短语

AI models overuse specific words that humans rarely employ. See

references/ai-tells.md

for comprehensive list.

Common offenders to reduce/remove:

Overused: delve, tapestry, camaraderie, palpable, intricate, unease, robust, crucial, vital, realm, landscape (metaphorical)
Filler transitions: Moreover, Furthermore, Additionally, In addition, Thus, Hence, Therefore (use sparingly)
Overly formal: Utilize (use "use"), Commence (use "start"), Facilitate (use "help")

Replace with:

Natural connectors: And, But, So, Plus, Also, Besides
Casual transitions: Anyway, Basically, Essentially, Look
Concrete verbs: Make, do, fix, build, create, help

AI模型会过度使用人类很少用到的特定词汇，完整列表可查看

references/ai-tells.md

。

需要减少/移除的常见高频词：

过度使用的词：delve、tapestry、camaraderie、palpable、intricate、unease、robust、crucial、vital、realm、landscape（比喻用法）
填充式过渡词：Moreover、Furthermore、Additionally、In addition、Thus、Hence、Therefore（尽量少用）
过于正式的表达：Utilize（改用use）、Commence（改用start）、Facilitate（改用help）

替换为：

自然连接词：And、But、So、Plus、Also、Besides
口语化过渡词：Anyway、Basically、Essentially、Look
具体动词：Make、do、fix、build、create、help

3. Add Contractions and Informal Language

3. 添加缩约形式和非正式表达

AI defaults to formal constructions. Humans use contractions freely in most contexts except highly formal academic/legal writing.

Apply liberally:

Don't, can't, won't, it's, I'm, we're, they're, you're
Wanna, gonna (in very casual contexts only)
Colloquialisms appropriate to context

BUT avoid in:

Academic research papers
Legal documents
Formal business proposals
When user specifically requests formal tone

AI默认使用正式句式，除了高度正式的学术/法律写作场景外，人类在大多数场景下会自由使用缩约形式。

可大量使用：

Don't、can't、won't、it's、I'm、we're、they're、you're
Wanna、gonna（仅用于非常非正式的场景）
符合场景的口语化表达

但以下场景避免使用：

学术研究论文
法律文件
正式商业提案
用户明确要求正式语气的场景

4. Vary Sentence Structure

4. 变化句子结构

AI overuses certain grammatical patterns. Humans naturally vary structure.

AI overuses:

Present participial clauses: "Walking down the street, seeing the crowd..." (use 50% less)
Nominalizations: "implementation" → "implementing," "utilization" → "using"
Agentless passive voice

Add more:

Simple active voice: "The team built it" not "It was built by the team"
Questions mid-paragraph: "But does that really work?"
Direct address: "You know what I mean?"

AI会过度使用特定语法模式，而人类会自然变换句子结构。

AI过度使用的结构：

现在分词从句：「Walking down the street, seeing the crowd...」（减少50%的使用量）
名词化表达：「implementation」改为「implementing」、「utilization」改为「using」
无施动者的被动语态

增加使用：

简单主动语态：用「The team built it」代替「It was built by the team」
段落中间插入问句：「But does that really work?」
直接对话：「You know what I mean?」

5. Inject Personal Voice and Imperfection

5. 注入个人表达风格和不完美性

Humans think aloud, hesitate, correct themselves, and show personality.

Add strategically:

Hedge words: kind of, sort of, pretty much, a bit, somewhat (don't overdo)
Thinking markers: I think, I feel, seems like, looks like
Self-correction: "Well, actually..." "Or rather..." "I mean..."
Qualifiers: mostly, often, usually, typically
Minor redundancy: "completely finished," "end result"

Example:

AI: "The solution effectively addresses the problem."
Human: "This solution pretty much solves the problem, though there's probably room for improvement."

人类会边想边说、犹豫、自我纠正，并且会体现出个性。

可策略性添加：

模糊修饰词：kind of、sort of、pretty much、a bit、somewhat（不要过度使用）
思考标记：I think、I feel、seems like、looks like
自我纠正：「Well, actually...」「Or rather...」「I mean...」
限定词：mostly、often、usually、typically
轻微冗余：「completely finished」「end result」

示例：

AI原文：「The solution effectively addresses the problem.」
人类风格改写：「这个方案差不多解决了问题，不过可能还有改进空间。」

6. Use Natural Collocations and Idioms

6. 使用自然搭配和习语

AI sometimes creates unnatural word pairings. Humans use familiar phrases.

Check for natural pairings:

Make the bed (not do the bed)
Do the dishes (not make the dishes)
Strong coffee (not powerful coffee)
Heavy rain (not strong rain)

Add appropriate idioms:

"Hit the ground running"
"Cut to the chase"
"Get the ball rolling"
Context-appropriate only - don't force them

AI有时会生成不自然的词汇组合，而人类会使用熟悉的短语。

检查自然搭配：

Make the bed（而非do the bed）
Do the dishes（而非make the dishes）
Strong coffee（而非powerful coffee）
Heavy rain（而非strong rain）

添加合适的习语：

「Hit the ground running」
「Cut to the chase」
「Get the ball rolling」
仅使用符合场景的习语，不要生硬插入

7. Create Contextual Depth

7. 创造场景深度

Humans draw from experience and add specific details. AI stays generic.

Add when appropriate:

Specific examples instead of generalizations
Real-world references (but avoid fabricating facts)
Analogies and comparisons
Personal observations or hedged experiences

Example:

AI: "Many people enjoy coffee in the morning."
Human: "Most people I know can't function without coffee before 9am. Myself included."

人类会结合经验添加具体细节，而AI的内容往往比较泛泛。

合适的情况下添加：

具体案例而非概括性描述
真实参考内容（但不要捏造事实）
类比和对比
个人观察或有模糊修饰的经验表述

示例：

AI原文：「Many people enjoy coffee in the morning.」
人类风格改写：「我认识的大多数人早上9点前没咖啡都没法正常工作，我自己也是。」

Progressive Application

分级应用方案

For different output requirements:

Light humanization (professional contexts):

Apply sentence variation
Add occasional contractions
Remove most AI-tells
Keep sophisticated vocabulary

Medium humanization (blog posts, emails):

Full sentence variation including fragments
Generous contractions
Natural transitions
Some personal voice
Occasional idioms

Heavy humanization (casual writing, personal essays):

Maximum variation including very short sentences
Frequent contractions
Personal anecdotes and voice
Hedge words and thinking markers
Colloquialisms and idioms
Self-correction patterns

针对不同的输出需求调整调整改写程度：

轻度人文化（专业场景）：

调整句式变化
偶尔添加缩约形式
移除大部分AI典型特征
保留专业复杂词汇

中度人文化（博客文章、邮件）：

完整的句式变化，包括不完整短句
大量使用缩约形式
自然过渡表达
适当加入个人表达风格
偶尔使用习语

重度人文化（非正式写作、个人随笔）：

最大程度的句式变化，包括极短句
频繁使用缩约形式
个人轶事和表达风格
模糊修饰词和思考标记
口语化表达和习语
自我纠正模式

Important Considerations

重要注意事项

Preserve:

Original meaning and key arguments
Factual accuracy
Technical terms when necessary
Core structure and organization

Context awareness:

Academic writing: lighter touch, keep sophistication, minimal contractions
Professional emails: medium touch, maintain clarity and professionalism
Blog posts/casual content: heavier touch, maximize personality
TEFL assignments: medium-heavy touch, show natural teacher voice

Quality checks:

Read aloud - does it sound like someone talking?
Check sentence length variation visually
Verify no more than 2-3 consecutive sentences start the same way
Ensure personality without sacrificing clarity

需要保留的内容：

原文含义和核心论点
事实准确性
必要的技术术语
核心结构和逻辑组织

场景感知：

学术写作：轻度改写，保留专业性，尽量少用缩约形式
专业邮件：中度改写，保持清晰和专业度
博客文章/非正式内容：重度改写，最大化体现个性
TEFL作业：中重度改写，体现自然的教师表达风格

质量检查：

大声朗读——听起来像真人在说话吗？
目视检查句长差异
确认连续句子的句首相同的情况不超过2-3次
确保体现个性的同时不损失清晰度

Reference Files

参考文件

For detailed guidance:

```
references/ai-tells.md
```
- Comprehensive list of AI overused words/phrases
```
references/linguistic-patterns.md
```
- Research-based differences between AI and human writing
```
references/examples.md
```
- Before/after transformation examples across contexts

获取详细指导：

```
references/ai-tells.md
```
- AI过度使用的词汇/短语完整列表
```
references/linguistic-patterns.md
```
- 基于研究的AI和人类写作差异
```
references/examples.md
```
- 不同场景下的改写前后对比示例