Manus: From Beginner to Mastery

Name: Manus: From Beginner to Mastery
ISBN: 9787301365038

陈飞宇Peking University Press · ChinaMay 2026

3.0

Word count: 74K words
Chapters: 101
ISBN: 9787301365038

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Summary

This book introduces one of today's most promising forms of artificial intelligence (AI)—general-purpose AI agents exemplified by Manus. It explains in detail their core concepts, features, and technical principles, and through a wealth of hands-on cases progressively demonstrates how Manus is applied in areas such as travel planning, educational content creation, stock analysis, insurance policy comparison, brand image design, and store sales growth

Editor's review

Taking the general-purpose AI agent Manus as its entry point, this book elevates the perspective from operating a single tool to the level of task delegation and workflow collaboration, making the topic forward-looking. It begins with core concepts, features, and technical principles to help readers understand how such AI agents differ from conventional conversational tools, then moves into hands-on scenarios including travel planning, educational content creation, stock analysis, insurance policy comparison, brand image design, and store sales growth. This "principles plus cases" structure makes it easy for readers to ground abstract concepts in concrete tasks and observe how AI agents actually perform in information integration, comparative analysis, and solution generation. For professionals hoping to use AI to improve work efficiency, the cross-domain cases offer applicable ideas; for readers interested in AI product forms, the book provides an intuitive sense of the capability boundaries of general-purpose agents. Readers should compare the cases against their own work tasks and consider which steps could be delegated to an agent.

Who it's for

A good fit for

Professionals who want to use AI agents to improve daily work efficiency
Product and operations staff interested in the product form of general-purpose AI agents
Analysts who need to handle information comparison and solution planning tasks
Content creators looking to understand AI application scenarios and find inspiration

Not a good fit for

Researchers seeking systematic study of underlying AI algorithms and model training principles
Absolute beginners who only need basic office software guidance
Senior practitioners expecting in-depth, industry-specific professional analysis frameworks

Reading tips

Read the concepts and principles sections first to understand how AI agents differ from ordinary conversational tools before moving to the cases
Select the cases closest to your own work for close reading, and try to reproduce the process with your real tasks
Remain cautious with cases such as stock analysis and insurance comparison, focusing on task decomposition rather than conclusions
After reading, compile a list of agent tasks suited to your role, practice them one by one, and record the results

About the publisher

Peking University Press China · Founded in 1979

Peking University Press is a comprehensive university press whose publishing areas cover classical literature, popular science, social culture, world history, Western philosophy, and culture. Its catalogue contains 6,031 titles, with representative books including A Dream of Red Mansions, Relativity: The Special and General Theory (15th Edition) (with Einstein's classic papers on unified field theory and other topics), Elements, Conics, The Aristocratic Families of the Eastern Jin, The Philosophy of Mythology (Volume I), The Philosophy of Mythology (Volume II), and The Origin of Continents and Oceans. Representative authors include Cao Xueqin, Zhou Ruchang, Albert Einstein, Euclid, Apollonius, Tian Yuqing, Schelling, and Xian Gang. The press has developed distinctive strengths in classical Chinese literature and in the translation of Western philosophical classics, while also covering scientific classics and social and cultural studies. As public information is limited, this description is based only on the books in the catalogue and offers no further extrapolation.

版权信息
版权
推荐序夯实智能基石共筑人类未来
前言
第1章 Manus简介
1.1 Manus简介
1.2 Manus 的诞生背景
1.3 Manus发展历程与市场表现
1.4 Manus核心目标：从“思考”到“行动”
1.5 Manus 的市场定位及未来潜力
1.6 本章小结
第2章 Manus的底层逻辑
2.1 独立思考与自主规划
2.2 任务执行：从计划到交付的闭环
2.3 工具调用：整合外部资源
2.4 多场景应用：跨领域的广泛适用性
2.5 本章小结
第3章 Manus应用实战
3.1 注册与登录
3.2 任务创建与指令撰写
3.3 工具调用与过程监控
3.4 查看和获取结果
3.5 实战演练：从简单到复杂的任务指令
3.6 常见问题与解决方案
3.7 本章小结
第4章旅行规划
4.1 Manus在旅行中的应用
4.2 量身定制旅行行程
4.3 安排交通与住宿
4.4 优化预算与时间安排
4.5 生成综合旅行手册
4.6 长期旅行规划
4.7 本章小结
第5章教育内容创作
5.1 Manus在教育内容创作中的应用
5.2 使用Manus生成教学演示动画
5.3 使用反馈与注意事项
5.4 Manus应用进阶
5.5 本章小结
第6章股票分析
6.1 需求与目标设定
6.2 数据采集与信息整合
6.3 深度分析与估值模型
6.4 最终成果与可视化呈现
6.5 深度解读：从任务拆解到落地
6.6 常见问题与解决方案
6.7 本章小结
第7章保险条款比较
7.1 Manus在保险条款对比中的价值
7.2 案例演示：对比四份旅行保险条款
7.3 使用Manus对比保险条款的注意事项
7.4 如何让Manus做更多保险决策辅助
7.5 本章小结
第8章极简名片设计
8.1 苹果公司设计理念
8.2 根据简历完成设计初稿
8.3 设计细节与理论扩展
8.4 Manus在名片设计中的价值
8.5 常见问题与注意事项
8.6 本章小结
第9章品牌形象设计
9.1 品牌形象设计的价值
9.2 品牌形象设计流程
9.3 使用Manus为品牌设计图标
9.4 图标与品牌形象的融合
9.5 Manus在品牌形象设计中的更多应用
9.6 本章小结
第10章提升网店销量
10.1 Manus在电商领域的应用价值
10.2 利用Manus进行电商数据分析
10.3 Manus与电商业务的适配性及展望
10.4 本章小结
第11章垂直搜索AI解决方案检索
11.1 时尚行业垂直搜索AI解决方案
11.2 检索时尚行业垂直搜索相关厂商
11.3 方案输出：推荐清单与行业洞见
11.4 本章小结
第12章面试时段智能调度
12.1 Manus在面试日程安排中的应用
12.2 优化与验证
12.3 本章小结
第13章辅助进行科学研究
13.1 气候变化研究概览
13.2 Manus在科学研究中的具体应用
13.3 Manus的一般研究流程
13.4 技术与伦理挑战：科研应用的深入思考
13.5 本章小结
第14章 Manus“平替”——OpenManus
14.1 OpenManus项目概述
14.2 OpenManus与Manus的对比
14.3 OpenManus安装与使用
14.4 OpenManus应用实例
14.5 OpenManus的未来发展
14.6 本章小结
第15章未来展望
15.1 AI代理的持续进化
15.2 AI代理协作网络的崛起
15.3 人机协作的新范式
15.4 技术挑战与伦理考量
15.5 AI代理的潜力与行业影响
15.6 本章小结

FAQ

Can the cases in the book be directly copied into work?

The cases mainly demonstrate approaches to task decomposition and agent collaboration; actual results will be affected by tool versions, data sources, and task complexity. Readers should extract the methods and adapt them to their own work scenarios.

Can I understand this book without a technical background?

Yes. The book starts with core concepts and features and focuses on hands-on application rather than technical implementation, so readers without a technical background can follow the cases to understand the main usage.

What tasks are AI agents like Manus suited for?

Based on the cases in the book, they are better suited for information gathering and integration, comparison of multiple options, first-draft content generation, and planning tasks. For decisions requiring highly specialized judgment or strict compliance, human review should still be retained.

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About the author

陈飞宇 Author

Chen Feiyu is an author about whom relatively limited public information is currently available. His representative work is Manus: From Beginner to Mastery, which is classified under artificial intelligence in the library. Based on the existing information, his writing centers on learning and applying AI tools, aimed at readers who wish to gain a systematic command of the relevant technology, with the content organized along a progressive path from introductory to advanced levels. Because reliable records of his birth and death dates, nationality, education, and professional background are unavailable, no further details about his personal experience can be provided. Judging from the work at hand, his writing emphasizes practicality and operability, seeking to connect conceptual explanation with actual use; it is suitable for beginners to read step by step and also helps readers with some foundation fill in gaps. This is the only work by him held in the library, so any assessment of his overall writing style and academic orientation must await further material.