DeepSeek Tutorial Guide Complete Collection, Including Specific Steps, Practical Exercises, and Pitfall Avoidance Tips

The main content of this article is a user guide manual for the DeepSeek AI tool. The content covers detailed tutorials from beginner to mastery, divided into six chapters, each providing specific steps, operation guides, practical exercises, and pitfall avoidance tips.

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Chapter 1: Preparation (Get Started in 30 Minutes)

1.1 Create Your AI Partner in Three Minutes

Step Details:

Visit the official website: Visit DeepSeek official website.
Register an account: Click the "smiley icon" in the upper right corner → select "Email/Phone Registration" (using a commonly used email is recommended)
Verify identity: Check your inbox to find the verification email → click the blue confirmation button (Can't find it? Check the spam folder)
First login: When entering the password, it is recommended to use a combination of "uppercase and lowercase letters + numbers" (for example: Deep2024@seek)

Pitfall Avoidance Guide:

If the verification code does not display, try refreshing the page or switching browsers
After registration, it is recommended to bind your phone number immediately for easy account recovery

1.2 Get to Know Your AI Console

Full Analysis of the Core Interface:

Dialogue input box: Type like sending a WeChat message, but remember to press "Enter" to send
History panel: The list on the left shows all conversations. You can right-click "Rename Conversation" for easy searching
Function toolbar：
- Format buttons: shortcuts for inserting code blocks, tables, and formulas
- Memory bank: Click the star to save important information (equivalent to the AI's notepad)
- Settings: Adjust response speed/creativity level (beginners are advised to keep the default)

Exercise:

Enter "Hello, please introduce yourself" and observe the response
Try clicking the "Code Block" icon and enter "Please use Python to print a heart pattern"
Rename the current conversation to "Test Practice"

Chapter 2: Basic Conversation (Learn to Communicate Like Making Friends)

2.1 The Five Golden Rules of Effective Questioning

Rule 1: Clarify the need
- ❌ Incorrect example: "Help me write something"
- ✅ Correct approach: "I need a job application email for a new media operations position, emphasizing 3 years of experience running a WeChat official account"
Rule 2: Provide background
- ❌ Incorrect example: "Analyze this data"
- ✅ Correct approach: "This is the sales data of a milk tea shop over the past three months. Please analyze the sales difference between weekends and weekdays (CSV data attached)"
Rule 3: Specify the format
- ❌ Incorrect example: "Give a few marketing plans"
- ✅ Correct approach: "Please list three Valentine's Day coffee shop promotion plans in table form, including cost estimates and expected effects"
Rule 4: Control length
- ❌ Incorrect example: "Explain in detail"
- ✅ Correct approach: "Please explain blockchain technology in under 200 words so that an elderly person with no technical background can understand it"
Rule Five: Correct promptly
- When the answer is unsatisfactory, you can:
  - "This solution costs too much, please provide a version with the budget controlled within 500 yuan"
  - "Please rewrite the second paragraph in a more formal tone"

2.2 10 magic commands beginners must learn

Basic command set:

/续写: automatically continue generating when the response is interrupted
/简化: convert complex content into plain language
/示例: require the display of actual cases (especially when writing code)
/步骤: have the AI guide the operation process step by step
/检查: help you find errors in the document

Exercise:

Enter "/steps How to take food photos with a mobile phone" and observe the step-by-step guidance
Enter "Please explain quantum computing, then /simplify" and compare the differences before and after

Chapter Three: Efficiency Leap (File Processing and Complex Tasks)

3.1 Learn document analysis in five minutes

Operation process:

Click the "paperclip" icon to upload a file (supports PDF/Word/TXT)
Enter a specific instruction:
- "Summarize the three core points of this annual report"
- "Extract the liability clauses in the contract and make them into a table"

Advanced techniques:

Comparative analysis: "Compare the differences in market strategy between Document A and Document B"
Data extraction: "Compile all temperature data from the experiment report"

Pitfall avoidance guide:

For documents longer than 50 pages, it is recommended to split them before processing
For scanned PDFs, ensure the text is copyable

3.2 Let AI help you write code

Universal template:

Language：Python
Function: automatically download web page images
Requirements: handle SSL certificate errors; display a download progress bar; save to a specified folder

Execution strategy:

First have the AI generate code
Request that comments be added for explanation
Request a line-by-line explanation of key code sections
When encountering an error, paste the error message directly

Chapter Four: Scenario Practice — Solving Real-World Problems

4.1 Full-process assistance for academic papers (from topic proposal to defense)

Stage One: Topic Proposal Breakthrough

Finding a research direction input: "I am an undergraduate majoring in mechanical engineering. Please recommend 5 intelligent robotics-related topics suitable for a graduation project, with the requirements:
- Innovative but not too cutting-edge
- Requires simulation experiments rather than physical production
- Include keywords for finding relevant references"
Example dialogue for optimizing the topic：
- You: "Research on a robotic arm grasping system based on deep learning"
- AI: "It is suggested to change it to 'Research on an adaptive grasping system for unknown objects based on improved YOLOv5'; the innovation point is clearer"
Literature quick review: After uploading 10 PDF papers, enter: "Please use a table to compare the research methods of each paper, organized into three columns: 'innovation points/limitations/points that can be referenced'"

Stage Two: Main Text Writing

Method description: Enter "Please rewrite this experimental procedure into the academic passive voice: 'We first drew a model in CAD, then imported it into ANSYS for mechanical analysis'"
Data Visualization: After providing Excel data, enter "Please suggest three chart types suitable for displaying temperature change curves, and explain the reasons for your choices"
Plagiarism Reduction Techniques: Use the command "/Academic Rewriting—Preserve the original meaning but adjust the sentence structure" for the specified paragraph.

Phase 3: Formatting Adjustment

Practical Examples：
- Please check whether my paper's formatting meets the following requirements:
  - Level-3 headings use the 1.1.1 format
  - Reference [1] needs a DOI added
  - All figures should have centered "Figure 1-" numbering added
  - Adjust line spacing to 1.5

Phase 4: Text Assistance Only

Integrated Plagiarism Checking and Reduction：
- Plagiarism Precheck：
  - Command: Analyze the following paragraph: [paste text]
    - Predict the plagiarism rate and high-risk passages (highlight in red)
    - Identify potentially missing citations (recommend 3 related references)
    - Provide rewriting suggestions (synonym replacement/structural adjustment)
- Example Output：
  - Original sentence: "Machine learning requires large amounts of data support"
  - Rewritten version: "The training process of contemporary AI models often relies on the continuous input of massive samples (Wang et al., 2022)"
Journal Matching Engine：
- Matching command: Based on my research:
  - Field: AI-assisted education
  - Innovation: Dynamic knowledge graph construction
  - Data volume: 100,000+ user samples
- Recommendations:
  - 3 reach journals (IF 3-5)
  - 2 safe journals (acceptance rate >40%)
  - 1 emerging open-access journal (free APC)
- Requirements:
  - Include the latest impact factor and review cycle
  - Indicate differences in formatting requirements (references/chart specifications)
Essential Assistance：
- Real-time monitoring command:
- "Track the latest preprints on [research keywords] and generate a briefing every Monday"
- "Find published papers similar to my methodology and compare their strengths and weaknesses"
Pitfall Avoidance Guide：
- Be wary of vague expressions such as "the latest research in this field shows"; academic content citations must be specific and the content must be rigorous.
- When sensitive data is involved, use "assume we have vibration frequency data for a certain model of machine tool" instead of real information.
- After the defense PPT is generated, the animation logic must be manually checked.

4.2 Self-Media Operations from 0 to 1

Viral Content Production Line

Title Generation Techniques：
- Basic version: Please generate 10 Xiaohongshu titles about "time management"
- Requirements:
  - Use emoji symbols
  - Include numerical quantification
  - Highlight pain point solutions"
- Advanced version: Rewrite "Python Beginner Tutorial" into a Douyin copy title that attracts university students
- Requirements:
  - Use a suspense structure
  - No more than 15 characters
  - Add trending topic hashtags
Content Creation Templates：
- [Type] Popular science short video script
- [Topic] Principles of quantum computers
- [Requirements]
  - Use 'organizing food in the fridge' as an analogy to explain qubits
  - Set up a suspenseful twist every 30 seconds
  - End with a call-to-action phrase encouraging likes
Layout Optimization Tips：
- Input 'Transform this text into a layout suitable for a WeChat Official Account:
  - Each paragraph should not exceed 3 lines
  - Add a 🔑 emoji to key sentences
  - Add separator symbols such as '—-'.
  - Mark important data in green font'

Data Analysis in Practice：

After uploading a screenshot of backend data, enter: 'Analyze follower active time periods, recommend the best posting schedule for next week, and display peak time periods in 24-hour format'

4.3 Intelligent Learning Planning System

Customize an Exclusive Learning Plan

Step Demonstration：
- Enter background: 'I need to reach IELTS 7 within three months, my current level is 5.5, and I can study 3 hours per day'
- Generate plan: 'Please create a weekly exam preparation plan, including:
  - Daily time allocation for each subject
  - List of essential materials
  - Stage self-assessment time points'
- Dynamic adjustment: 'This week my listening accuracy is only 60%, please readjust next week's listening training plan'

Strategies for Mastering Knowledge Points：

Concept understanding: Enter 'Explain Monte Carlo simulation in three sentences. The first sentence should use an analogy from everyday life, the second sentence should give a technical definition, and the third sentence should provide an application case'
Wrong-question analysis: After uploading a photo of a wrong question, enter 'Please analyze the root cause of the error and recommend 3 similar intensive practice questions'
Memory reinforcement: 'Turn these medical terms into mnemonic rhymes, with 7 characters per line and rhyming'

Learning Supervision System：

[Supervision Mode Enabled]
- Remind me to submit a study summary every Sunday at 8 PM
- Send a warning message each time I scroll on my phone for more than 30 minutes
- Generate a reward plan after completing stage goals

Pitfall Avoidance Guide：

Academic paper scenario: Use broad instructions such as 'Help me write a literature review' with caution; instead, change it to 'Please compare the disagreements between Scholar A and Scholar B on XX theory'
Self-media scenario: Avoid directly publishing AI-generated current affairs commentary; facts must be manually verified
Learning scenario: When AI suggests 'Memorize 200 words every day,' you should follow up with 'How should the review cycle be scientifically allocated?'

Chapter 5: Advanced Evolution — Unlocking Professional-Level Productivity

5.1 Build Your Own Private Knowledge Base

Step 1: The Golden Rules of Data Preparation

Applicable scenarios：
- Legal professionals organizing a case database
- Doctors building a disease diagnosis and treatment manual
- E-commerce operations accumulating product knowledge
Operation process：
- Create a structured document template example:
  - [Knowledge Unit] Diabetes Diet Management
  - 【Key Points】
    - Daily carbohydrate intake ≤ 130g
    - Recommended ingredients: buckwheat, broccoli, cod
  - 【Prohibited List】
    - ✖ High-GI fruits: lychee/longan/banana
    - ✖ Processed foods: candied fruit/canned food/ham sausage
  - 【Common Questions】
    - Q: Can I drink sugar-free cola?
    - A: It is recommended to have no more than 2 cans per week, and note…
- File format conversion:
  - Paper materials → CamScanner APP → export as editable PDF
  - WeChat chat records → use "Tencent Docs" to export as TXT
- Data cleaning technique: Enter the instruction: "Please delete duplicate paragraphs in the document, and reorganize the content according to the structure of 'concept definition - operation steps - precautions'"

Step 2: Knowledge Base Training in Practice

Web operation：
- Go to the "Knowledge Base" panel → click "New Knowledge Base"
- Drag and drop files to upload (supports PDF/Word/Markdown)
- Set trigger keywords: "When a question contains 'treatment plan' or 'medication guide', prioritize using this knowledge base"

API developer mode：

from deepseek import KnowledgeBase
kb = KnowledgeBase(api_key="your_key")
kb.create(
    name="心血管疾病库",
    documents=["heart_disease.pdf", "treatment_guide.docx"],
    description="三甲医院内部诊疗标准",
    access_level="private"
)

Step 3: Invocation and Optimization

Activate in conversation：

@我的知识库[心血管疾病]
患者男性58岁，血压160/95，有吸烟史，请推荐干预方案

Continuous optimization strategy：
- Use the "knowledge health check" instruction every month: "Find outdated drug names in the knowledge base and compare them with the 2024 edition of the National Pharmacopoeia"
- Add an error correction mechanism: "When a user points out an error in the knowledge base, automatically generate a revision ticket"

5.2 Building Automated Workflows (The Ultimate Hands-Free Solution)

Scenario 1: Automatic Daily Report Generation System

Configuration steps：
- Data source integration：
  - DingTalk/WeCom → export the day's work log
  - Sales system → obtain CRM data
- AI processing chain：
  Copy
```
/创建自动化流程
名称：销售日报生成
触发条件：每天18:00
执行动作：
1. 读取CRM今日订单数据
2. 对比昨日数据计算增长率
3. 生成三段式日报：
   - 关键指标
   - 异常预警
   - 明日建议
4. 发送邮件至manager@company.com
```
- Exception handling mechanism：
  - Set keyword monitoring: when "decline" or "abnormal" appears in the daily report, automatically copy the technical director

Scenario 2: Intelligent Customer Service Middle Platform

Zapier integration example：
1. When the official website form receives a new inquiry → trigger the DeepSeek API
2. AI analyzes customer needs → classify as "after-sales/quote/technical"
3. According to the category:
  - Simple questions → reply directly with the solution
  - Complex questions → generate a ticket and dispatch it to the corresponding department

Key instructions：

Copy

/设置自动回复模板
当问题包含["怎么退货","运费谁付"]时，回复：
感谢咨询！我们的退换货政策是：
1. 7天内无理由退货（标签未撕）
2. 质量问题免运费（附照片证明）
需要人工帮助请回复「转接客服」

5.3 Cross-Language Free Switching in Practice (Business Negotiation/Literature Translation)

Mode 1: Precision Translation Mode

Business scenario：
```
/开启专业翻译模式
【源语言】中文
【目标语言】商务英语
【特殊要求】
- 保留敬语格式（Dear/Honored）
- 金额保留两位小数
- 使用ICC国际商会术语
```
- Input: "Regarding the FOB Shanghai terms, we suggest partial shipment to reduce risks"
- Output: "Regarding the FOB Shanghai terms, we propose partial shipments to mitigate risks as per Incoterms 2020 rules."

Mode 2: Academic Polishing Mode

Paper translation techniques：
- Upload a reference document: "Please translate my abstract by imitating the wording style of this Nature paper"
- Terminology consistency check: "Ensure that '纳米材料' is consistently translated as 'nanomaterials'"
- Format preservation: "Keep the Figure 1- format after translating chart titles"

Mode 3: Cultural Adaptation Mode

Localization Case：
- Input: "Explain the corporate culture of 'quality first' to an Indian client"
- AI suggestion:
  - Replacement case: Use "Tata Group quality standards" instead of "Huawei experience"
  - Adjust expression: Change "pursuit of perfection" to "commitment to continuous improvement"
  - Religious note: Avoid using cow-related metaphors
Pitfall Avoidance Guide：
- Knowledge base trap: Avoid directly uploading confidential contracts; use "a certain brand procurement agreement" instead of the real name
- Automation risk: Processes involving financial approval must retain a manual confirmation step

Chapter 6: How to Use Me to Improve Your Self-Learning Ability

Scenario 1: Learning Accelerator

1.1 Paper Deep-Reading Tips

Three-Stage Speed Reading Method：
- Anticipatory Questioning (5 minutes)：
  - Input instruction: "Please summarize the core innovation of '[paper title]' in 200 words, using the structure 'known...but...therefore...', and list 3 questions worth exploring further"
- Chart Analysis (Key Breakthrough)：
  - Ask with a chart: "Explain the experimental design logic of Figure 3, use arrow icons to indicate variable relationships, and mark the control variables the authors may have omitted"
- Critical Thinking (Avoid Being Led Along)：
  - Advanced instruction: "Identify 3 potential limitations of this research method and provide the DOIs of 2 papers published after 2023 with opposing evidence"
- Tip: When encountering a formula, hold Alt and drag to select it, then directly ask, "Please explain the meaning of this formula using elementary school math knowledge"

1.2 Wrong-Answer Conquering Pipeline

Four-Step Score Improvement Method：
- Error Cause Diagnosis：
  - After taking a photo/inputting the question, ask: "Analyze my thinking error in this geometry problem and explain it using the concept of [confirmation bias] from cognitive psychology"
- Variation Training：
  - Generation instruction: "Based on the knowledge points of this question, generate 3 variation questions of increasing difficulty, with solution roadmap hints attached (do not give the answers directly)"
- Memory Reinforcement：
  - Memory card instruction: "Turn the key solution steps into a catchy rhyme, requiring it to rhyme and include terms such as 'auxiliary line' and 'similarity ratio'"
- Monitoring Report：
  - Progress query: "Count the distribution of my wrong-answer types in the trigonometric functions section over the past week, present it as a pie chart, and mark breakthrough priorities"
- Pitfall Avoidance: Avoid directly asking for answers; instead use "give me hints rather than answers" to trigger guidance mode

1.3 Meeting Minutes Revolution

30-Second Organization Technique：
- Recording to Key Points (recording file upload required)：
  - Instruction: "Extract key decisions: present them in a three-column table of [resolution items] [responsible person] [time node], and mark controversial content in red"
- Action List：
  - Follow-up question: "Convert the meeting content into a task list based on SMART principles, and mark items requiring cross-department collaboration"
- Visual Presentation：
  - Advanced Instruction: "Convert the project timeline into Gantt chart code (Mermaid syntax format), and use ❗ to mark critical dependency nodes"
- Tip: Enter "Enable timestamp mode" to automatically mark the discussion duration of each topic

1.4 Creating a Personal Knowledge Base

Three-Step Construction Method：
- Information Capture：
  - Instruction: "Monitor AI conversations in real time, and automatically extract the following content into the knowledge base:
    - Instructions I have reused more than 3 times
    - Solutions marked as "Important"
    - Output content modified more than 2 times"
- Smart Tags：
  - Classification instruction: "Add multi-dimensional tags to the knowledge base: #CommonInstructions #ContractTemplates #TechnicalChallenges #VerifiedSolutions"
- Proactive Push：
  - Trigger mechanism: "When I discuss 'user growth,' automatically display related cases and past successful solutions in the knowledge base"
- Effect: New employees can access the team's accumulated 300+ high-quality instructions within 1 week

Scenario 2: Learn Self-Correction and Review

Module 1: The Three Axes of Output Calibration

Problem: The answer is too official and not down-to-earth enough
Correction Process：
- Enter "Enable beginner mode" → Disable technical jargon
- Add "Give an example that a vegetable market auntie can understand"
- Finally, use "Check whether there are sentences longer than 20 characters" to streamline
Case Correction：
- Original sentence: "Use deep learning algorithms to optimize feature extraction"
- After correction: "It's like using a smart sieve to quickly pick out the black beans from the soybeans"

Module 2: Sensitive Content Filter

Account Ban Prevention Guide：
- Medical advice "Check whether the current content complies with the 'Internet Diagnosis and Treatment Management Measures'" Add "The above suggestions cannot replace a professional doctor's diagnosis"
- Investment and wealth management "Mark statements involving return commitments in red" Replace with historical data display
- Politics-related "Enable neutral mode to rewrite the following content" Add balance from multiple perspectives

Scenario 3: Zero-Basics Code Introduction

Module 1: Code Debugging — Precise Troubleshooting in 5 Minutes

Three-Step BUG Elimination Method：
- Step 1: Error Message Translation：
  - Instruction template:
    【错误诊断模式】我遇到[编程语言]报错："粘贴错误信息" 请： 1. 用小白能懂的话解释问题本质 2. 标注可能引发该错误的3个常见场景 3. 给出最可能的修复方案（标★）和其他备选方案
  - Case：
    
    Error: Python's IndexError: list index out of range → Plain-language explanation: "It's like trying to find a seat in row 6 from a movie ticket stub that only has 5 seats" → Common scenarios: incorrect loop conditions/deleting items from a list dynamically/index calculation errors → Fix: Add before accessif len(your_list) > index:Conditional check
- Step 2: Context Analysis：
  - Advanced instruction:
    结合上下文代码片段： [粘贴相关代码] 请： 1. 用箭头图画出变量值变化轨迹 2. 在可疑行号旁标注🛑并说明原因 3. 输出修改后的代码差异对比（用绿色+/红色-标注）
- Step 3: Defensive Programming：
  - Recurrence prevention instruction:
    针对这个错误类型： 1. 设计3个单元测试用例（含边界条件） 2. 生成代码片段：自动检测同类错误的防护性代码 3. 推荐2个相关调试工具（VS Code插件/Python库）
  - Tip: When encountering complex errors, add the instruction "Explain this problem using a kitchen cooking analogy" to quickly understand the essence

Module 2: Automated Scripts — From Requirements to Code

Four-Stage Painless Development Method：

Case Requirement: "Automatically back up a specified folder to Baidu Netdisk, run every Monday at midnight, and keep the most recent 3 versions"

Stage 1: Requirement Structuring：

Instruction:

将需求拆解为技术要素：
1. 文件操作模块（增量备份/版本控制）
2. 网盘API对接
3. 定时任务配置
4. 异常处理（网络中断/存储不足）
输出技术选型建议表（含优缺点对比）

Stage 2: Code Generation：

Step-by-Step Instructions:

用Python实现以下功能：
1. 遍历指定文件夹，生成MD5校验文件
2. 调用百度网盘API上传（需处理OAuth2.认证）
3. 添加日志记录（时间/操作/结果）
4. 用APScheduler设置每周定时任务
要求：
- 每段代码添加中文注释
- 分离配置文件和核心逻辑
- 输出.env文件模板

Stage 3: Test Optimization：

Verification Instructions:

为上述代码设计测试方案：
1. 模拟断网环境下的重试机制
2. 测试不同版本保留策略
3. 内存泄漏检测方法
生成测试用例的伪代码

Stage 4: Delivery Documentation：

Instruction Template:

生成用户手册：
1. 安装依赖的pip命令清单
2. 配置文件修改图示（红框标注必填项）
3. 常见问题排障流程图
4. 服务监控方案（Prometheus指标设计）

Pitfall Avoidance Guide
- When encountering API call issues, use the instruction "Generate an API call code template with error handling"
- When cross-platform compatibility is needed, add "Ensure the code runs on Windows/MacOS/Linux"

Module 3: Technical Interviews — Precisely Targeting Test Points

Building a Preparation System：
- Test Point Prediction：
  - Instruction:
    根据[目标公司]近3年面经和我的技术栈：[Java/Python/Go...] 输出： 1. 高频考点TOP10（按出现频率排序） 2. 对应LeetCode题号（标注原题/变式题） 3. 系统设计重点领域（附学习路线图）
  - Output Example：
    阿里巴巴Java岗高频考点： 1. 并发编程（80%出现） - 必刷题：LeetCode 1114/1188 - 重点：线程池参数优化实战 2. JVM调优（65%） - 实战案例：GC日志分析图谱 ...
- Whiteboard Coding Simulation：
  - Practical Workflow：
    - Generate a Problem：
      - Give me a medium-difficulty binary tree problem, requiring:
        
        Include both recursive and non-recursive solutions
        
        Set up 2 error-prone test cases
        
        Include key points for time complexity analysis
    - Mock Interview：
      - Now begin the interview simulation:
        
        Please describe your approach in pseudocode (10-minute time limit)
        
        I will point out 3 potential bugs, please fix them on the spot
        
        Finally, give optimization suggestions (space-for-time strategy)
    - Intelligent Feedback：
      - Based on my code: [paste code]
      - Please:
        
        Give an A/B/C grade according to big tech company scoring standards
        
        Highlight code strengths (such as elegant boundary handling)
        
        Point out bad smells that may cause point deductions (such as magic numbers)
  - Bonus-Point Essentials：
    - Generate 10 high-frequency follow-up questions:
    - "If the data volume increases by 1000 times, how would you optimize it?"
    - "How would this algorithm adapt to a distributed environment?"

Scenario 4: Web Novel Writing Assistance for Beginners

Module 1: Novel Writing — Character Relationship Management

Three-Dimensional Character Modeling Method：

Step 1: Character Profile Generation：

Instruction Template:

生成小说角色模板：
姓名：
核心欲望：
关键秘密：
关系网络：
- 盟友（表面/真实）
- 对手（直接/潜在）
- 情感羁绊（爱/恨/亏欠）
示例填充：[悬疑小说配角]

Output Example：

药店老板王德发
核心欲望：掩盖儿子肇事逃逸真相
关键秘密：私藏受害者日记本
关系网络：
- 表面盟友：办案警员（定期提供假线索）
- 真实对手：记者女儿（暗中调查案件）

Step 2: Relationship Visualization：

Instruction:

基于以下人物列表：[粘贴角色信息]
1. 用Mermaid语法生成关系图（区分实线/虚线/不同颜色箭头）
2. 标注3个潜在冲突爆发点
3. 生成时间轴：关键事件对关系的影响

Export Tools：
- Copy the code into a Markdown editor for real-time rendering
- Use Draw.io to import and generate professional charts

Step 3: Plot Conflict Detection：
- Instruction:
```
分析当前章节：[粘贴文本]
1. 找出人物行为的矛盾点（与其档案不符）
2. 建议3个增强戏剧性的改写方向
3. 生成2个让读者惊呼的伏笔埋设方案
```
- Pitfall Avoidance Guide：
  - Avoid stereotyped characters: add the instruction "Give the villain 3 rationalized motives"
  - Prevent plot holes: Use the "Timeline Conflict Detection" instruction

Module 2: Video Scripts — Emotional Traffic Code

Breakdown of Viral Formulas：
- Golden Structure Template：
```
[0-15s] 反常识开头： "你知道吗？90%的人刷牙方式都是错的！"
[16-30s] 权威背书： "北大口腔博士验证的3个标准动作"
[31-45s] 视觉演示： 错误/正确对比（2倍速快剪+音效）
[46-60s] 行动召唤： "点击左下角领取刷牙自查表"
```
- Emotional Curve Optimization：
  - Instruction Process：
    - Original Script Analysis：
      - Analyze the emotional fluctuations of the following copy:
      - "Paste the copy"
      - Output:
        
        Emotional value curve chart (tension/interest/moving)
        
        Statistics on the time interval between climax points
        
        3 suggested rhythm checkpoints for optimization
    - Peak Design：
      - Insert emotional hooks at the following time points:
      - 00:18 Add a "shocking" event (data contrast)
      - 00:42 Add an "empathy" story (user testimonial)
      - 01:05 Set up a "suspense" question (interactive question)
    - Storyboard Enhancement：
      - Convert the "product advantages" section into a storyboard table:
        
        | 时长 | 画面 | 台词 | 音效 | |------|------|------|------| | 3s | 手机摔落慢镜头 | "每天承受100次..." | 玻璃碎裂声 |

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