90天构建月入1万美元的Claude自动化业务全指南

✍ Nav Toor🕐 2026-05-03📦 12.5 KB 🟢 已读 𝕏 文章列表

本文是一份完整的商业实操指南，旨在帮助开发者在90天内构建月收入1万美元的Claude自动化业务。文章详细拆分为五个阶段：首先掌握上下文设计、子代理架构、MCP服务器搭建及定时自动化等核心技能；其次选择房地产、营销或电商等高价值垂直领域；随后通过免费案例积累信用；接着制定基于价值而非工时的定价策略（3000-15000美元）；最后通过内容营销和客户案例获取付费客户。

Claude AI自动化商业模式 MCP 独立开发副业 Agent SOP 实战指南客户开发

# How to Build a $10K Per Month Claude Automation Business in 90 Days (Full Course) **作者**: Nav Toor **日期**: 2026-05-03T09:52:05.000Z **来源**: [https://x.com/heynavtoor/status/2050876037047685435](https://x.com/heynavtoor/status/2050876037047685435) --- ![Image](/doc/1508/image/img_ff9529d6af8f.jpg) There is a gap in the market right now, and it is widening every single week. Save this. You will come back to it. On one side you have millions of small businesses that know AI can save them time but have no idea how to actually use it. They tried Claude once, got a generic answer, and gave up. On the other side you have a tiny group of builders who know how to wire up sub-agents, set up MCP servers, design skill files, and ship automations that save 10 to 20 hours per week. The builders are charging $3,000 to $15,000 per project and turning clients away. This is the full playbook for becoming one of those builders. Not in theory. Not someday. In the next 90 days. ## Why This Window Is Bigger Than People Realize Every business has the same problem. They have 5 to 15 tasks that eat hours every single week. Research. Reporting. Content. Customer email. Document prep. Inventory updates. Meeting notes. Lead enrichment. These tasks are predictable. They are repeatable. They follow a process. That makes them perfect for automation. But the business owner does not know how to build it. They do not understand sub-agents. They have never written a skill file. They think MCP is a typo. You do. Or you will by the end of this article. The gap between "AI exists" and "AI is doing the work" is worth $5,000 to $15,000 per engagement right now. That number will not stay this high forever. It is this high because supply is small. For the next 90 days, supply is you. ## Phase 1: Build Your Toolkit (Days 1 to 14) Before you sell anything, you have to be genuinely good at building. That means four skills. Skill 1: Context File Design Every automation starts with context. You need to interview a client, understand their workflow, and turn it into a context file that makes Claude produce industry-specific, voice-matched output. Practice: build 3 context files for 3 hypothetical businesses in 3 different industries. A real estate brokerage. A marketing consultancy. A DTC e-commerce brand. Each one should contain business description, audience, voice and tone, current projects, and quality bar. Skill 2: Sub-Agent Architecture Sub-agents are the engine. You need to design specialized agents that each do one job well. Practice: build 5 sub-agents from scratch. A code reviewer. A weekly report generator. A cold email writer. A meeting notes cleaner. A bug reproducer. Test each one 10 times with different inputs. Refine until they are reliable. If you are not sure where to start, the agents in my "30 Claude Code Sub-Agents I Actually Use" article are paste-ready templates. Copy the YAML. Adapt the prompts. Ship in an hour. Skill 3: MCP Server Setup Connecting Claude to external tools is what separates a chatbot from a system. You need to be comfortable wiring up Tavily for web search, Google Drive for files, Gmail for email, Slack for comms, and at least one CRM. Practice: set up all five MCP servers on your machine. Build one workflow that chains all of them. Search the web, save a summary to Drive, email it to yourself, post a notification in Slack, log it to your CRM. If you can ship that one workflow end to end, you can sell. Skill 4: Scheduled Automation Design The highest-value automations run without anyone pressing a button. Daily briefings. Weekly client reports. Monthly invoice processing. You need to understand /schedule, timing edge cases, and how to design automations that fail gracefully when data is missing. Practice: build 3 scheduled automations on your own workflow. A daily briefing at 8am. A weekly review at 5pm Friday. A monthly summary on the 1st. Run them for two weeks. Fix every break. ## Phase 2: Pick One Niche (Days 14 to 21) Do not try to serve every business. Pick one niche and become the AI automation specialist for that industry. How to Pick You understand their workflow well enough to know what to automate. They have enough revenue to pay $3,000 to $5,000 for a project. They have at least 5 recurring tasks that follow a process. They are not so technical that they would just build it themselves. Niches That Are Working Right Now Real estate agencies: CMA reports, listing descriptions, follow-up emails, market briefs. Marketing agencies: Client reporting, content production, competitive teardowns, SEO briefs. E-commerce brands: Product descriptions, review responses, inventory reports, support email. Professional services firms: Proposals, SOPs, client onboarding, billing narratives. Content creators: Research, drafting, repurposing, newsletter production. Financial advisors: Client reports, market summaries, meeting prep, compliance docs. Healthcare practices: Intake summaries, prior authorization drafts, patient comms. Law firms: Document review, deposition summaries, client intake, billing letters. Each niche has 5 to 10 high-value automations waiting to be built. Pick one. Do not pick two. Two niches means zero referrals. ## Phase 3: Build Your First Case Study (Days 21 to 30) Find one person in your niche. Build their automation for free. In exchange you get three things worth more than money. A working production system. A case study with real numbers. A testimonial from a real client. How to Find Your First Free Client Post in the niche-specific community. "I am building AI automations for [niche] and looking for one [role] to work with for free in exchange for a case study." Ask your network. Someone you know works in your target niche or knows someone who does. Cold outreach to 10 businesses with this exact line: "I will build one AI automation that saves you at least 5 hours per week. Free. All I need is 2 hours of your time and permission to use the results as a case study." 10 messages. You will get 1 yes. That is enough. What to Build for Them Start with their most painful recurring task. The one they complain about every week. Build the sub-agent. Set the context file. Connect the necessary MCP servers. Run it on real data, not toy data. Measure everything. How long did the task take manually. How long does it take now. What is the quality difference. What is the weekly hours saved. A case study that says "saved 8 hours per week on client reporting" with a real testimonial is worth $10,000 in marketing. You now have proof. ## Phase 4: Package and Price (Days 30 to 35) You have a working build. You have a case study. Time to productize. The Build Package This is what you deliver for a flat fee: Discovery session of 2 hours to map their workflow. Custom sub-agents for 3 to 5 automated tasks. MCP server setup and configuration. Context file tailored to their business. Two weeks of testing and refinement. Documentation so they can maintain it themselves. 30 days of support after launch. The Pricing Frame Price on value delivered, not hours worked. If your build saves 10 hours per week at a $75/hour internal rate, that is $3,000/month in value. Forever. Charging $3,000 to $5,000 one time for the build is a no-brainer ROI. The client pays once and saves every month for the life of the system. For complex builds with multi-agent systems, custom MCP servers, or cross-platform integrations, charge $5,000 to $15,000. Never charge by the hour. It punishes you for being fast. ## Phase 5: Find Paying Clients (Days 35 to 60) You have the skills. You have the case study. You have the package. Now you need clients. Three channels work. Channel 1: Content Marketing Post about what you build. Show before and after. Share specific time savings. Demonstrate the actual output. Example: "I built an automation for a marketing agency that generates client reports in 3 minutes instead of 3 hours. Here is exactly how it works." That post attracts the right audience. People who need the same thing. One post per week. Four months in, you will have inbound. Channel 2: Direct Outreach Find businesses in your niche with obvious automation gaps. Send a short, specific message. Example: "I built an AI system for [similar business] that automates [specific task] and saves them [specific hours] per week. Open to a 15-minute call to see if something similar would work for your workflow?" 3 to 5 outreach messages per day. 5 days a week. Within 30 days you will have paying clients. The math: 100 outreach messages produces 10 calls produces 2 to 3 closes. That is your funnel. Channel 3: Referrals Your free case study client knows other people in their industry. Ask for introductions. "Do you know 2 to 3 other [roles] who spend too much time on [task]? I would love to help them the same way I helped you." One great referral is worth 10 cold emails. Referrals close at 50 to 70 percent. ## Phase 6: Scale to $10K Per Month (Days 60 to 90) Once you have 3 to 5 paying clients, patterns emerge. Every marketing agency needs the same 3 automations. Every e-commerce brand has the same 5 pain points. Every law firm complains about the same 4 document types. That is your moat. Productize the Patterns Build template packages for each common use case in your niche. Discovery sessions get shorter because you already know the workflow. Builds get faster because you are customizing templates, not starting from zero. Margins go up. Delivery time goes down. Client outcomes get better because you have already debugged the pattern with 5 previous clients. Add Recurring Revenue Offer monthly maintenance and optimization for $500 to $1,000 per month. You refine their automations. You add new ones as needs change. You make sure everything keeps running when models update. This converts project income into predictable monthly revenue. The Math 5 clients on maintenance at $750 per month = $3,750 recurring. 2 new builds per month at $5,000 each = $10,000 project revenue. That is $13,750 per month. $165,000 per year. From a service that did not exist 18 months ago. The client list does not have to be huge. The work has to be excellent. ## The Tools You Actually Need You can run this whole business with five tools. Claude Code or Cowork: where the sub-agents live and run. Notion or Obsidian: where you store context files, client SOPs, and case studies. Cal.com: for booking discovery calls without back-and-forth email. Stripe: for invoicing. Use payment links so clients pay before you build. Loom: for async client updates. One Loom replaces a 30-minute meeting. That is the entire stack. Total cost under $200 per month. ## What Will Actually Stop You Three things kill 90 percent of people who try this. Perfectionism on the toolkit. They spend 8 weeks studying instead of building. Stop. Two weeks of practice is enough. The first paid client teaches you more than two months of theory. Pricing too low. They charge $500 because they "are still learning." That signal kills the deal. Clients trust higher prices because higher prices signal expertise. Charge $3,000 minimum. No niche. They want to serve every business. They build for nobody. Pick one industry. Get good. Then expand. If you avoid these three traps, the rest is just reps. ## The Uncomfortable Truth This window will not stay open. Right now the supply of people who can ship AI automations is tiny relative to demand. That is why you can charge premium prices, clients tolerate small portfolios, and showing up with competence is enough. In 18 months the market will be crowded. People who establish themselves now will own their niches. People who wait will compete on price. Most people will read this article and think about it for a few weeks. The ones who book their first discovery call this week will have a $10,000 per month business by the end of summer. The skills are free. The tools are cheap. The market is starving. The only thing left is the decision. ## 相关链接 - [Nav Toor](https://x.com/heynavtoor) - [@heynavtoor](https://x.com/heynavtoor) - [3.1K](https://x.com/heynavtoor/status/2050876037047685435/analytics) - [$10K](https://x.com/search?q=%2410K&src=cashtag_click) - [Cal.com](https://cal.com/) - [Upgrade to Premium](https://x.com/i/premium_sign_up) - [5:52 PM · May 3, 2026](https://x.com/heynavtoor/status/2050876037047685435) - [3,132 Views](https://x.com/heynavtoor/status/2050876037047685435/analytics) - [View quotes](https://x.com/heynavtoor/status/2050876037047685435/quotes) --- *导出时间: 2026/5/3 19:52:01* --- ## 中文翻译 # 如何在 90 天内建立一个月入 1 万美元的 Claude 自动化业务（完整课程） **作者**: Nav Toor **日期**: 2026-05-03T09:52:05.000Z **来源**: [https://x.com/heynavtoor/status/2050876037047685435](https://x.com/heynavtoor/status/2050876037047685435) --- ![Image](/doc/1508/image/img_ff9529d6af8f.jpg) 市场上目前存在一个缺口，而且这个缺口每周都在扩大。请收藏这篇文章。你以后会回来重温的。一方面，数以百万计的小企业主知道 AI 可以节省他们的时间，但根本不知道如何实际使用它。他们尝试过一次 Claude，得到了一个通用的回答，然后就放弃了。另一方面，有一小部分构建者知道如何连接子代理、设置 MCP 服务器、设计技能文件，并交付每周能节省 10 到 20 小时的自动化系统。这些构建者每个项目收费 3,000 到 15,000 美元，甚至要婉拒客户。这就是成为其中一员完整操作指南。不是理论上的。也不是“总有一天”。就在接下来的 90 天里。 ## 为什么这个窗口期比人们想象的要大每个企业都有同样的问题。他们有 5 到 15 项任务，每周都要耗费数小时。研究、报告、内容制作、客户邮件、文档准备、库存更新、会议纪要、线索丰富。这些任务是可预测的。它们是重复性的。它们遵循着固定的流程。这使它们成为自动化的完美对象。但是，企业主不知道如何构建它。他们不了解子代理。他们从未写过技能文件。他们以为 MCP 是个拼写错误。你知道。或者在你读完这篇文章时你就会知道了。目前，“AI 存在”和“AI 在实际工作”之间的差距，每次介入价值 5,000 到 15,000 美元。这个数字不会永远保持这么高。之所以这么高，是因为供应量很小。在接下来的 90 天里，供应量就是你。 ## 第一阶段：构建你的工具包（第 1 到 14 天）在你销售任何东西之前，你必须真正擅长构建。这意味着需要掌握四项技能。技能 1：上下文文件设计每个自动化都始于上下文。你需要面试客户，了解他们的工作流程，并将其转化为一个上下文文件，使 Claude 能够生成符合行业特定要求、语调匹配的输出。练习：为 3 个不同行业中的 3 个假设企业构建 3 个上下文文件。一家房地产经纪公司。一家营销咨询公司。一个 DTC（直接面向消费者）电商品牌。每一个都应包含商业描述、受众、语调、当前项目和质量标准。技能 2：子代理架构子代理是引擎。你需要设计专门的代理，每个代理都擅长做一件事。练习：从零开始构建 5 个子代理。一个代码审查员。一个周报生成器。一个冷邮件撰写者。一个会议纪要整理员。一个 Bug 复现者。用不同的输入测试每一个 10 次。进行优化，直到它们可靠为止。如果你不确定从哪里开始，我的文章“我实际使用的 30 个 Claude 代码子代理”中的代理提供了现成的模板。复制 YAML。调整提示词。在一小时内交付。技能 3：MCP 服务器设置将 Claude 连接到外部工具是区分聊天机器人和系统的关键。你需要熟练接线 Tavily 用于网络搜索，Google Drive 用于文件，Gmail 用于邮件，Slack 用于沟通，以及至少一个 CRM。练习：在你的机器上设置所有五个 MCP 服务器。构建一个将它们全部链接的工作流。搜索网络，将摘要保存到 Drive，发邮件给自己，在 Slack 中发布通知，并将其记录到你的 CRM 中。如果你能端到端地交付那一个工作流，你就能销售。技能 4：定时自动化设计最高价值的自动化是无需任何人按下按钮即可运行的。每日简报。每周客户报告。每月发票处理。你需要了解 /schedule、定时边缘情况，以及如何设计在数据缺失时能优雅降级的自动化。练习：在你自己的工作流中构建 3 个定时自动化。早上 8 点的每日简报。周五下午 5 点的每周复盘。每月 1 号的月度总结。运行它们两周。修复每一个故障。 ## 第二阶段：选择一个细分领域（第 14 到 21 天）不要试图为所有企业服务。选择一个细分领域，并成为该行业的 AI 自动化专家。如何选择你足够了解他们的工作流程，知道该自动化什么。他们有足够的收入为项目支付 3,000 到 5,000 美元。他们至少有 5 项遵循流程的重复性任务。他们技术性不强，不会自己构建。目前行之有效的细分领域房地产机构：CMA（比较市场分析）报告、房源描述、跟进邮件、市场简报。营销机构：客户报告、内容生产、竞品拆解、SEO 简报。电商品牌：产品描述、评论回复、库存报告、支持邮件。专业服务公司：提案、SOP（标准作业程序）、客户入职、账单说明。内容创作者：研究、起草、再利用、时事通讯制作。财务顾问：客户报告、市场摘要、会议准备、合规文档。医疗机构：接待摘要、预授权草案、患者沟通。律师事务所：文件审查、证词摘要、客户接待、账单信函。每个细分领域都有 5 到 10 个高价值的自动化等待着被构建。选择一个。不要选两个。两个细分领域意味着零转介绍。 ## 第三阶段：建立你的第一个案例研究（第 21 到 30 天）在你的细分领域找一个人。免费为他们构建自动化。作为交换，你将获得三样比金钱更有价值的东西。一个可用的生产系统。一个带有真实数字的案例研究。一个来自真实客户的推荐信。如何找到你的第一个免费客户在特定的细分领域社区发帖。“我正在为 [细分领域] 构建 AI 自动化，寻找一位 [角色] 免费合作，以换取一个案例研究。” 询问你的网络。你认识的某人在你的目标细分领域工作，或者认识在那里工作的人。向 10 家企业进行冷外展，使用这句准确的话：“我将为你构建一个 AI 自动化，每周至少为你节省 5 小时。免费。我只需要你 2 小时的时间和允许将结果用作案例研究。” 10 条信息。你会得到 1 个肯定的。这就足够了。为他们构建什么从他们最痛苦的重复性任务开始。那个他们每周都在抱怨的任务。构建子代理。设置上下文文件。连接必要的 MCP 服务器。在真实数据上运行它，而不是玩具数据。测量一切。以前手动完成这项任务需要多长时间。现在需要多长时间。质量差异是什么。每周节省了多少小时。一个写着“在客户报告上每周节省 8 小时”并附有真实推荐的案例研究，在营销上价值 10,000 美元。你现在有了证明。 ## 第四阶段：打包和定价（第 30 到 35 天）你有了一个可用的构建。你有了一个案例研究。是时候产品化了。构建套餐这是你一次性交付的内容： 2 小时的探索会议，以绘制他们的工作流程。为 3 到 5 项自动化任务定制的子代理。 MCP 服务器设置和配置。针对其业务定制的上下文文件。两周的测试和优化。文档，以便他们可以自己维护。发布后 30 天的支持。定价框架基于交付的价值定价，而不是工作时长。如果你的构建以每小时 75 美元的内部费率每周节省 10 小时，那就是每月 3,000 美元的价值。永久有效。一次性收取 3,000 到 5,000 美元的构建费是无需动脑的投资回报率（ROI）。客户支付一次，只要系统存在就能每月节省。对于具有多代理系统、自定义 MCP 服务器或跨平台集成的复杂构建，收费 5,000 到 15,000 美元。永远不要按小时收费。这会因为你的速度快而惩罚你。 ## 第五阶段：寻找付费客户（第 35 到 60 天）你有了技能。你有了案例研究。你有了套餐。现在你需要客户。三个渠道有效。渠道 1：内容营销发布你构建的内容。展示前后对比。分享具体的时间节省。展示实际的输出。示例：“我为一家营销机构构建了一个自动化，可以在 3 分钟内而不是 3 小时内生成客户报告。这正是它的工作原理。” 那条帖子吸引了正确的受众。需要同样东西的人。每周发布一篇。四个月后，你将会有主动咨询。渠道 2：直接外展在你的细分领域中寻找有明显自动化缺口的企业。发送一条简短、具体的消息。示例：“我为 [类似企业] 构建了一个 AI 系统，可以自动化 [特定任务] 并每周为他们节省 [具体小时数]。是否愿意进行 15 分钟的电话通话，看看类似的方案是否适用于你的工作流程？” 每天发送 3 到 5 条外展信息。每周 5 天。在 30 天内，你将获得付费客户。数学计算：100 条外展信息产生 10 个电话，产生 2 到 3 个成交。这就是你的漏斗。渠道 3：推荐你的免费案例研究客户认识他们行业的其他人。请求介绍。 “你认识 2 到 3 个在 [任务] 上花费太多时间的其他 [角色] 吗？我很乐意像帮助你一样帮助他们。” 一个优质的推荐价值 10 封冷邮件。推荐的成交率为 50% 到 70%。 ## 第六阶段：扩展到月入 1 万美元（第 60 到 90 天）一旦你有 3 到 5 个付费客户，模式就会显现。每家营销机构都需要同样的 3 个自动化。每个电商品牌都有同样的 5 个痛点。每家律师事务所都抱怨同样的 4 种文件类型。这就是你的护城河。将模式产品化为细分领域中的每个常见用例构建模板套餐。探索会议变得更短，因为你已经了解了工作流程。构建变得更快，因为你是在定制模板，而不是从零开始。利润率上升。交付时间下降。客户成果变得更好，因为你已经用之前的 5 个客户调试过这些模式。增加经常性收入提供每月 500 到 1,000 美元的维护和优化服务。你优化他们的自动化。随着需求的变化添加新的自动化。你确保当模型更新时一切正常运行。这将项目收入转化为可预测的月度收入。数学计算 5 个维护客户，每月 750 美元 = 3,750 美元经常性收入。每月 2 个新构建，每个 5,000 美元 = 10,000 美元项目收入。那就是每月 13,750 美元。每年 165,000 美元。来自一个 18 个月前还不存在的服务。客户名单不需要很庞大。工作必须优秀。 ## 你真正需要的工具你可以用五个工具运营整个业务。 Claude Code 或 Cowork：子代理存在和运行的地方。 Notion 或 Obsidian：你存储上下文文件、客户 SOP 和案例研究的地方。 Cal.com：用于预订探索会议，无需来回邮件。 Stripe：用于开具发票。使用付款链接，以便客户在构建前付款。 Loom：用于异步客户更新。一个 Loom 视频可以替代 30 分钟的会议。这就是整个技术栈。每月总成本低于 200 美元。 ## 真正会阻止你的是什么三件事会扼杀 90% 尝试这条路的人。对工具的完美主义。他们花 8 周时间学习而不是构建。停下来。两周的练习就足够了。第一个付费客户教给你的比两个月的理论还要多。定价过低。他们收取 500 美元，因为他们“还在学习”。这种信号会扼杀交易。客户信任更高的价格，因为更高的价格代表专业知识。最低收费 3,000 美元。没有细分领域。他们想为所有企业服务。结果他们谁也没构建好。选择一个行业。做到精通。然后再扩张。如果你避开这三个陷阱，剩下的就是重复练习。 ## 不舒服的真相这个窗口期不会一直开放。目前，能够交付 AI 自动化的人才供应量相对于需求来说微乎其微。这就是为什么你可以收取高价，客户也能接受较小的作品集，并且只要表现出能力就足够了。 18 个月后，市场将变得拥挤。现在确立自己地位的人将拥有他们的细分领域。等待的人将在价格上竞争。大多数人会读这篇文章，然后思考几周。本周预订第一个探索电话的人，将在夏末拥有一个月入 1 万美元的业务。技能是免费的。工具是廉价的。市场是饥渴的。剩下的就是决定。 ## 相关链接 - [Nav Toor](https://x.com/heynavtoor) - [@heynavtoor](https://x.com/heynavtoor) - [3.1K](https://x.com/heynavtoor/status/2050876037047685435/analytics) - [$10K](https://x.com/search?q=%2410K&src=cashtag_click) - [Cal.com](https://cal.com/) - [Upgrade to Premium](https://x.com/i/premium_sign_up) - [5:52 PM · May 3, 2026](https://x.com/heynavtoor/status/2050876037047685435) - [3,132 Views](https://x.com/heynavtoor/status/2050876037047685435/analytics) - [View quotes](https://x.com/heynavtoor/status/2050876037047685435/quotes) --- *导出时间: 2026/5/3 19:52:01*

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