6 个 AI 工具组队 12 小时自动赚钱实验
把 Opus、Grok、Jev 等 6 个工具串成一支团队，在无人值守的 12 小时里找需求、做产品、发推广，声称赚到 47 个付费用户。
this is what happens when you stop using AI like a chatbot and start using it like a team. someone connected 6 AI tools and gave them one mission: make money while he was at work. no employees. $20 budget. 12 hours. zero human intervention. here's how the team worked: → Opus 5.5: CEO. Breaks goals into tasks. → Grok Bot: Finds problems people are willing to pay to solve. → REA: Researches competitors, pricing, and demand. → Dots: Connects the tools into one workflow. → Jev: Builds, ships, and fixes the product. → Obsidian: Stores every win, failure, and lesson. the results were wild. 08:14 AM: Found 640 small shops struggling to answer DMs at night. 09:30 AM: Discovered 9 competing tools charging $49/month or more. 11:05 AM: Narrowed the idea to one feature at $12/month. 01:40 PM: Built the bot, landing page, and checkout. 04:20 PM: Sent a 20-second demo to 300 shop owners. 07:55 PM: Generated a report documenting what worked, what failed, and what it cost. the claimed outcome? 47 paying customers × $12/month = $564 in monthly recurring revenue. total spend: $17.40. and the human behind it? he was at work carrying boxes. he didn't touch a single prompt after leaving at 8 AM. the most interesting part isn't the revenue. It's the architecture. one agent finds opportunities. another validates them. another builds the solution. another connects the workflow. and a memory system makes sure lessons aren't lost. that's a business workflow, not a chatbot. the next shift in AI isn't just smarter models. it's teams of agents that can turn a goal into a finished product. one caveat: these numbers are claims from the original post, not independently verified results. but the underlying idea is worth paying attention to. we might be moving from asking AI to do tasks to giving AI systems ownership of outcomes. https://x.com/razeden0/status/2112650985386463298/video/1
这条是引用着另一条写的：x.com/arindam_1729/status/2112892916159111359