与「mambo」相关的搜索结果

Haven’t been using macbook for a month with this. - Run multiple coding agents in vps - Automation across multiple agents - Voice agents to manage all agents - Push notifications via PWA - All agents self aware of all other agents

简直不可思议， 这哥们在 MacBook 上本地运行了 Llama 3.3 70B，整个 11 小时的飞行全程都在用。 没网络。 没调用 API。 没有 Claude。 没有 OpenAI。 就是纯本地 AI 模型，全程离线运行。 感觉这就是 AI 发展的方向。

A Chinese developer created an agent system in Claude Code to sell landing pages to small businesses and, working completely solo, serves about 47 clients a month, charging around $400 for each one. He built 7 agents on Claude Sonnet capable of analyzing Google Maps in small cities, detecting businesses without websites or with totally outdated pages, and taking each opportunity all the way to a finished mockup, a promotional video, and a ready-to-send prospecting message. No assistants. No sales team. No SDRs. Just him, a MacBook, an iPhone, and an API key. While traditional agencies maintain full teams to handle the same workflow, his only real costs are tokens and subscriptions to Lovable, Higgsfield, and Calendly. The 7 agents operate coordinated by an orchestrator in Claude Code Router. The system consumes about 3 million tokens daily, and the average API spend is just around $480 a month. They all work via MCP servers and share state using the file system, avoiding concurrency and shared memory issues. Even one of the agents lives directly on his iPhone and responds to leads while he's on the subway, in a taxi, or walking. This was the main prompt he set up: “You are the orchestrator of a solo agency that sells ready-made websites to local businesses…” The key is that the system perfectly understands what it is, what its limits are, and what goals it must achieve. It knows it must find leads automatically. It knows it must convert each opportunity into a landing page, a video, and a sales message without human intervention. And it knows exactly when to involve the owner. The system runs 24/7: Scout analyzes about 220 businesses daily and queues up 30 new leads. Diagnoser generates diagnostics and personalized messages for each lead. Builder creates between 3 and 5 complete landing pages for the best prospects. Filmer produces a 10-second vertical video for each proposal. Pitcher sends about 30 messages daily across 4 different channels with a response rate close to 14%. Checker automatically reviews all messages before sending them. Only when a deal exceeds $3,000 or the response rate drops below 12% does the system wake the owner. And if he's on the subway or in a taxi at that moment, the Mobile agent automatically responds to the interested lead, schedules a call in Calendly, and returns the lead to the queue. The owner just has to hit “approve” and jump into the meeting. Some real system logs: “218 businesses analyzed in Austin, Denver, and Miami. 34 without websites, 19 with 2014-era sites, and 6 with reviews requesting redesigns.” “30 messages sent. 14 responses. 5 positive. 3 Zooms scheduled.” “Landing page created for a dental clinic. Responsive. 5 sections. Video rendering.” “$3,400 deal exceeds approved limit. Sending for manual review.” And the craziest part is that he has no dedicated servers or backend. Just a local sandbox, an MCP router, a Claude API key, and that same key connected to his iPhone. Of everything I've seen this year, this is probably the cleanest and most efficient example of a fully automated one-person agency: $480 a month on APIs. $18,800 in revenue. 7 prompts. A file system. And a phone in his pocket. Save this before it's too late.

没买AppleCare+还是别喂MacBook喝啤酒了，主板喝完酒12v主供电直接击穿板层，直接就碳化了 如果里面有重要资料，那只能搬板。走Apple售后就没这个待遇了，人家就直接给你换新主板，想救资料会犯AC大忌被Genius Bar拒绝售后 所以没事别请自己的笔记本喝饮料，而且最近Mac也涨了20%，反而要好好爱惜。