OpenClaw: A Complete Guide
Tags
Summary
As AI moves from "talking" to "doing," OpenClaw ("Little Lobster"), a globally popular personal AI agent project, is leading a new efficiency revolution. The author, Guo Zixuan, knows well the gap between technology and ordinary users, and breaks down the complex deployment, configuration, and application of AI agents into a clear, replicable practical path.
From getting the first minimal loop running in one hour to using 15 high-frequency scenarios to have AI take over 60% of repetitive work; from real cases of skill monetization and content monetization to a controllable guide for keeping to security red lines, this book teaches you step by step how to "raise" a digital twin that is online 24/7.
Here there is no obscure code theory, only ready-to-use solutions. Give trivial tasks to AI, take your time back, and let technology truly serve you—amplify your main business and start your side hustle.
Editor's review
Who it's for
A good fit for
- Ordinary users who want to get started with personal AI agents but lack a technical background
- Professionals who hope to use AI to share repetitive work and improve efficiency
- Side-hustle explorers interested in skill monetization and content monetization
- Product and operations staff who need to explain AI agent implementation paths to their teams
Not a good fit for
- AI researchers seeking underlying model principles and algorithm derivations
- Senior developers hoping for long-term stable technical documentation
- Tool users who do not want to configure anything and only want plug-and-play solutions
Reading tips
- First follow Chapter 1 to get the minimal loop running, then go back to understand what the configuration items mean.
- Pick a high-frequency scenario closest to your own work and build a personal AI agent while reading.
- When reading monetization cases, first assess your own resources and compliance boundaries, then design a small-scale experiment.
- Mark the security red lines chapter separately and check against it before each feature expansion.
About the publisher
Hunan Literature and Art Publishing House is a publisher known for its literary titles, with a catalogue spanning foreign literature, world classics, classical Chinese literature, essays and miscellaneous writings, and mystery and detective fiction. Judging from the more than 1,100 books in the database, the press publishes foreign classics such as Crime and Punishment, Snow Country, The Complete Sherlock Holmes and Letter from an Unknown Woman, as well as Chinese classical and modern literary works including Lu Xun's Wandering and A Madman's Diary and Wu Jingzi's The Scholars. In terms of translators and authors, translations by Cao Guowei and Tan Jinghua appear in its foreign literature titles, and the authors involved include Dostoevsky, Kawabata Yasunari, Conan Doyle and Zweig. Its publishing character lies in introducing Chinese and foreign literary classics side by side, balancing popular and serious works and attending to both readability and literary value. Public information is limited; the above is a brief overview based solely on the books in the database.
Contents
- 版权信息
- 前言
- 第一部分 看见变化:OpenClaw时代已经开始
- 第一章 人工智能进化史:从感知世界,到协同创造
- 第二章 哪些人最适合先用智能体?
- 第三章 从“会回答”走向“会做事”
- 第二部分 跑通系统:让OpenClaw进入你的日常工作流
- 第四章 先把数字分身部署起来
- 第五章 从一个场景开始:让数字分身先接住高频任务
- 第六章 把单点能力连成系统:工作流是怎么形成的?
- 第七章 Skills系统:从会聊天,到会做事
- 第三部分 放大能力:OpenClaw时代的创业闭环
- 第八章 技能变现:把能力做成流程,把服务做成复制品
- 第九章 内容变现:快速起步,稳定产出,先及格
- 第十章 信任资产:从无效社交到精准连接与持续维护
- 第十一章 影响力资产:你的能力开始替你持续赚钱
- 后记
FAQ
Can I understand this book if I have no coding experience at all?
Will the methods in the book become outdated quickly?
Are the monetization methods mentioned in the book reliable?
Comments
Find this book
This site is an index: you start “Search all sources” in your browser, and the entries it lists all point to third-party sites; please judge their availability yourself.
About the author
Guo Zixuan is a Chinese book author about whom relatively limited public information is available. Judging from the works in the collection, the writing focuses on the practical application of artificial intelligence tools and on improving office efficiency. Four of the author's works are included, the representative one being AI Made Simple: OpenClaw + DeepSeek + Efficient Office Work (three volumes), alongside AI Efficient Office Work Made Simple, DeepSeek Made Simple, and OpenClaw Made Simple, commonly categorized under artificial intelligence and management. These works tend to take specific tools as their thread, explaining how AI can be operated and integrated into office workflows. They combine technical introductions with management applications, are written in a practical and clearly organized style, and address general readers who wish to use AI tools to improve their daily work efficiency.