Title: OpenClaw 凉了？不，是你没有工作流 | BestBlogs.dev
URL Source: https://www.bestblogs.dev/article/3f781891
Published Time: 2026-03-13 04:28:00
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OpenClaw 凉了？不，是你没有工作流 =====================
!Image 8: AI产品黄叔 AI产品黄叔 @AI产品黄叔
One Sentence Summary
This article analyzes the sharp decline in OpenClaw (Claude Code)'s popularity, pointing out that AI tools are not magic wands, and their core value lies in the standardized workflows (SOPs) built by users.
Summary
The article provides an in-depth analysis of the 'rollercoaster' phenomenon experienced by OpenClaw (an AI automation tool with a lobster logo) in early 2026, which saw it go from widespread craze to mass uninstallation within just one week. The author points out that most users abandoned it due to a lack of technical foundation, high token costs, and security concerns. However, a small number of experienced developers achieved significant productivity gains by building efficient workflows. The article emphasizes that the benefits of AI tools exhibit a Matthew effect: the stronger the user's capabilities and the more complete their SOPs, the more pronounced the AI's additive effect. Finally, the author summarizes the three core elements for building high-quality AI workflows: the large document context method, scenario-based skill combination, and parallel instance method, predicting that 'tools will fade, but workflows will not.'
Main Points
* 1. The benefits of AI tools are directly proportional to user experience, exhibiting a significant Matthew effect.Experienced developers can achieve exponential gains with AI, while inexperienced newcomers often struggle with configuration errors and uncontrollable outputs, leading to tool benefits hovering near zero. * 2. OpenClaw's rapid decline stemmed from users mistaking it for a 'magic wand' rather than an 'assembly line'.Follower users expected a one-click solution but ignored installation barriers, token cost control, and security boundaries, leading to quick abandonment after encountering setbacks and the illusion that 'the tool is useless'. * 3. Building standardized AI workflows (SOPs) is the core competency for unlocking AI's potential.Those who truly profited did not rely on the tool itself but solidified personal experience into reproducible automated processes through methods like structured input, scenario-based validation, and parallel processing. * 4. Effective AI workflows require three key elements: large document context, scenario-based combinations, and parallel instances.By packaging complete context to reduce hallucinations, validating skills for specific scenarios, and utilizing multiple instances for parallel task processing, AI can be transformed from a simple chatbot into an efficient productivity system.
Metadata
AI Score
76
Website mp.weixin.qq.com
Published At Today
Length 3790 words (about 16 min)
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原创 AI产品黄叔 2026-03-13 12:28 北京
3月12日，微信指数让黄叔觉得是时候了： ====================
OpenClaw指数1.25亿，日环比暴跌24.04%。趋势图更扎心，从3月4日的零基础暴涨到1.6亿，然后断崖式下跌，画了个标准的Gartner曲线。
配合这张图一起出现的，是微博热搜上的这句话：
"第一批养虾人已经开始卸载了" — 微博热搜，2026年3月11日
养虾，指的是用OpenClaw（它的logo是只龙虾）。这句话火得不行，精准命中了那些跟风装了又没搞明白怎么用的人。
!Image 11: OpenClaw微信指数暴跌图 OpenClaw微信指数暴跌图
更魔幻的是这个：
此前一度火爆的"500元上门安装"生意还没持续一周，市场上已经出现了新的服务——"299元远程卸载" — 虎嗅，2026年3月12日
安装到卸载，前后就7天。一个免费开源工具，催生了付费安装+付费卸载的完整产业链。这个闭环的荒诞感，比工具本身还魔幻。
讲道理，这波集体退坑来得太快了。ChatGPT从100万用户涨到1亿用户，再到首次流量下降，历时6个月。DeepSeek退烧用了1-2个月。OpenClaw呢？7天。
全民共识已经形成了：OpenClaw，凉了？
- - -
先说说为什么大家都在卸载。
腾讯大厦楼下，3月6日那天排了近千人，年龄跨度2-60岁，场面堪比社区活动领鸡蛋。所有人都在等一件事：免费安装OpenClaw。
"像领鸡蛋一样领龙虾" — 网友评论
装完之后呢？翻车了。
LINUX DO论坛上有个帖子火了：
"烧了二十亿token之后，我终于承认openclaw真的没用" — LINUX DO论坛用户
二十亿token，按现在的价格算，这人至少烧了几千块。结果呢？"终于承认"三个字，透着绝望。
小白用户更惨。很多人压根不知道什么是终端输入框，Node.js版本必须>=v22.0.0也搞不懂。Docker镜像拉取失败、容器启动闪退、Dashboard死活连不上、远程访问502报错——这些报错信息，对新手来说就像天书。
柚米club是个线下教学OpenClaw的组织，创始人五津说了句大实话：
"参与者电脑水平参差不齐，安装中经常出现各种报错。原本按照最传统的本地部署来教，实际教学起来并不容易。" — 柚米club创始人五津
说白了，安装门槛就劝退了80%的人。
!Image 12: 小白用户安装翻车现场 小白用户安装翻车现场
剩下那20%装上的呢？也没好到哪去。
36kr有篇报道，标题很吓人：
"给AI开放权限后，它做的第一件事是「人肉」我" — 36kr，2026年3月12日
AI不帮你干活，反而先调查你。这种安全恐慌+拟人化幽默，直接把一波人吓跑了。
更扎心的是成本失控。有人500元装完，收到8万美元账单——因为AI自动化死循环了，一晚上烧光了token额度。
你说，这不是翻车，这是什么？
- - -
但问题是，真的所有人都在卸载吗？
不是。
有一批人，已经闷声发大财了。
Stormy AI是一家做广告创意的公司。他们用OpenClaw做了个自动化流程：Claude Code + Google Ads API + Figma API集成。结果呢？
广告创意制作时间减少98%。
98%是什么概念？以前要2小时的活，现在只要2分钟。
Reddit上有个匿名用户，更牛。他用OpenClaw搞了个定时任务，自动化采集销售线索，再批量验证。单月生成43万元价值的销售线索。按10%佣金比例算，他一个月赚了4.3万元。
"我用定时任务自动化运行，一个月赚了4.3万元" — Reddit用户
阿里云开发者社区的统计更吓人：超过12万职场用户，日均节省2.3小时工作时间。这可是2026年2月的数据，OpenClaw还没正式爆火呢。
还有个B2B销售团队，把OpenClaw和Dify结合起来，搞了个自动化工作流：OpenClaw数据采集 -> Dify Workflow分析 -> 个性化邮件自动发送 -> CRM自动更新。
结果呢？SDR（销售开发代表）80%的时间原本花在"找人、写邮件、更新CRM"，现在这些低价值工作全自动化了。
你发现没有？
同一个工具，有人500元白花了，有人月入4.3万。
这差距是怎么来的？
!Image 13: OpenClaw使用者收益对比 OpenClaw使用者收益对比
- - -
答案藏在Science期刊2026年1月的一篇重磅研究里。
研究团队追踪了大量开发者使用AI编程工具的数据，发现了一个残酷的马太效应：
"随着开发者经验值的增加，AI带来的边际收益直线上升。对于刚入行的新手，曲线则在零值附近徘徊。" — Science期刊，2026年1月27日
图很直观：资深开发者的收益曲线是一条斜向上的直线，新手的曲线就是一条贴着地面的水平线。
Anthropic的2026趋势报告，也得出了同样的结论：
"你越有经验，AI对你的加成越大。"
这话听起来很扎心，但其实说的不是智商差距，是工作流差距。
什么叫工作流？说白了就是你有没有一套标准化的操作流程（SOP）。
看看那些真正赚到钱的人是怎么用OpenClaw的：
- Peter Steinberger（OpenClaw创始人）的大文档上下文法
这套流程的核心是什么？结构化输入 + 明确指令 + 自主测试。
- 少数派作者的场景化Skill组合法
关键是什么？场景化 + 批量复用 + 验证后再上线。
- Claude Code创始人Boris Cherny的并行实例法
这套流程的核心是什么？并行 + 共享 + 验证循环。
有SOP的人，把OpenClaw当成流水线；没SOP的人，把OpenClaw当成魔法棒。
问题是，魔法棒这玩意，现实里不存在。
有个开发者说得特别好：
"OpenClaw是一个放大工具，放大的是使用者本身的能力上限。它能让会用的人更高效，但对于不会用的人，它只是一个配置复杂、输出不可控的黑箱。"
说到底，OpenClaw能让你赚钱的效率提升10倍，但前提是你本来就知道怎么赚钱。
就像电钻不会自己造房子，但给一个熟练的木匠一把电钻，他能造得又快又好。
- - -
那问题来了——什么是好的AI工作流？
我总结了三个核心要素：
- 大文档上下文法
这样AI才能理解你的完整意图，而不是在局部上下文里瞎猜。
- 场景化Skill组合
关键是"经过验证"——先在小范围测试，跑通了再批量复用。
- 并行实例法
这样你能快速找到最优解，而不是在一条路上死磕。
这三个方法，本质上都在做一件事：把你的经验和判断，固化成可复制的流程。
IDC有个预测很吓人：
"2026年前，75%的企业开发团队将通过AI IDE实现'需求到部署'全流程效率翻倍。否则会面临项目交付周期延长30%的风险。" — IDC《2025全球开发者生产力技术成熟度曲线》
懂得构建工作流的团队，效率翻倍；不懂的，项目延期30%。
这差距，不是工具的问题，是人的问题。
!Image 14: 好的AI工作流三要素 好的AI工作流三要素
- - -
回到开头那张微信指数暴跌图。
OpenClaw热度断崖式下跌，DeepSeek也跌了10.47%。看起来AI工具的热度退潮期到了。
但问题是，真正受益的人，在乎这个吗？
不在乎。
那些月入4.3万的Reddit用户，在乎OpenClaw的微信指数吗？不在乎。他的定时任务还在跑，销售线索还在源源不断地生成。
那些日均节省2.3小时的12万职场用户，在乎OpenClaw上不上热搜吗？不在乎。他们的自动化流程还在运行，效率还在提升。
工具会凉，工作流不会。
OpenClaw也一样。7天的热度过去了，大批跟风用户卸载了。但那些有工作流的人，还在用。
包括黄叔~也在持续打磨内容相关的Skills，并准备搬到Openclaw里！
因为他们从一开始就不是在追热点，而是在解决问题。
微博热搜上那句"第一批养虾人已经开始卸载了"，说的是那些没有工作流的人。
真正有工作流的人，压根没打算卸载。
- - -
微信指数暴跌24%，500元上门安装变成299元远程卸载，"烧了二十亿token之后终于承认没用"——这些梗背后，都是同一个问题：
把工具当魔法棒的人，注定失望。
但那些把工具当流水线的人，已经在闷声赚钱了。
广告创意时间减少98%，月入4.3万，日均节省2.3小时，80%的低价值工作全自动化——这些成果，不是因为他们比别人聪明，而是因为他们有SOP。
Science期刊的研究说得很清楚：资深开发者的AI收益曲线直线上升，新手的曲线在零值徘徊。
这不是智商差距，这是工作流差距。
工具会凉，工作流不会。
OpenClaw可能会凉，DeepSeek也可能会凉，但懂得构建AI工作流的人，永远不会凉。
因为下一个热点出来的时候，他们还是第一批赚到钱的人。
!Image 15: AI产品黄叔 AI产品黄叔 @AI产品黄叔
One Sentence Summary
This article analyzes the sharp decline in OpenClaw (Claude Code)'s popularity, pointing out that AI tools are not magic wands, and their core value lies in the standardized workflows (SOPs) built by users.
Summary
The article provides an in-depth analysis of the 'rollercoaster' phenomenon experienced by OpenClaw (an AI automation tool with a lobster logo) in early 2026, which saw it go from widespread craze to mass uninstallation within just one week. The author points out that most users abandoned it due to a lack of technical foundation, high token costs, and security concerns. However, a small number of experienced developers achieved significant productivity gains by building efficient workflows. The article emphasizes that the benefits of AI tools exhibit a Matthew effect: the stronger the user's capabilities and the more complete their SOPs, the more pronounced the AI's additive effect. Finally, the author summarizes the three core elements for building high-quality AI workflows: the large document context method, scenario-based skill combination, and parallel instance method, predicting that 'tools will fade, but workflows will not.'
Main Points
* 1. The benefits of AI tools are directly proportional to user experience, exhibiting a significant Matthew effect.
Experienced developers can achieve exponential gains with AI, while inexperienced newcomers often struggle with configuration errors and uncontrollable outputs, leading to tool benefits hovering near zero.
* 2. OpenClaw's rapid decline stemmed from users mistaking it for a 'magic wand' rather than an 'assembly line'.
Follower users expected a one-click solution but ignored installation barriers, token cost control, and security boundaries, leading to quick abandonment after encountering setbacks and the illusion that 'the tool is useless'.
* 3. Building standardized AI workflows (SOPs) is the core competency for unlocking AI's potential.
Those who truly profited did not rely on the tool itself but solidified personal experience into reproducible automated processes through methods like structured input, scenario-based validation, and parallel processing.
* 4. Effective AI workflows require three key elements: large document context, scenario-based combinations, and parallel instances.
By packaging complete context to reduce hallucinations, validating skills for specific scenarios, and utilizing multiple instances for parallel task processing, AI can be transformed from a simple chatbot into an efficient productivity system.
Key Quotes
* Those who treat tools as magic wands are destined for disappointment. But those who treat them as assembly lines are already quietly making money. * OpenClaw is an amplification tool; what it amplifies is the user's own capability ceiling. It makes those who know how to use it more efficient, but for those who don't, it's just a complex, uncontrollable black box. * Tools will fade, but workflows won't. Those with real workflows never even considered uninstalling. * As developer experience increases, the marginal benefits brought by AI rise sharply. For newcomers, the curve hovers near zero. * The more experienced you are, the greater AI's enhancement for you.
AI Score
76
Website mp.weixin.qq.com
Published At Today
Length 3790 words (about 16 min)
Tags
OpenClaw
Claude Code
AI Workflow
SOP
Productivity Tools
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OpenClaw is Dead? No, You Just Don't Have a Workflow. | B... ===============