DrFresh

东南大学—蒙纳士 2+2 大一在读｜每天实测 AI 工具与 Agent，记录 AI 视频创作｜目标：把 AI 用到能赚钱为止

[DrFresh @Freshbetterever]

开个长期的坑，记录一下我的 AI 实测日常。
我是大一在读，课余时间全砸在 AI 上：让多个 Agent 协同给我干活、做全 AI 的短视频账号、测试各种新工具哪些真有用哪些是噱头。
这个号每天至少一条，全是自己上手试过的，不搬运、不云评测。
试错过程也会发，翻车比成功更有参考价值。

[DrFresh @Freshbetterever]

Original essay: Dan Koe, "The most lucrative AI business to start in 2027" (Nov 3, 2026), on his Substack, The Koe Letter: https://t.co/AOykX4813t

[DrFresh @Freshbetterever]

Dan Koe ran the numbers yesterday (Nov 3, 2026), and the math stopped me mid-scroll:

The most lucrative AI business of 2027 isn't a one-person company selling courses. It's one person working as an entire creative team — 1 to 3 clients, at $10k–$75k a month, by his math. His starting price for a first client: $2,500–$5,000 a month.

Don't take that pricing at face value — I'll take it apart at the end. But the model underneath it is the most copyable play I've seen all year.

What is a "one-person creative team"?

Founders and top creators don't lack ideas. They lack hours. They have a business to run and a personal brand they can't feed.

That used to take three people:
→ A brand strategist — positioning, persona, protecting trust and authority instead of chasing junk trends
→ A content strategist — studying formats that travel, owning the topic pipeline and the numbers
→ A writer — drafting every post, script and long-form piece

Now one person with AI can fold all three desks into one. Not by letting AI run wild. A content-agency operator quoted in the essay puts it well: his job became reviewing and editing — about 4 hours a day, down from roughly 12. AI absorbs the research and the first drafts. The human keeps two jobs: strategy calls and taste.

AI does the execution. The human does the judgment:
· Brand — AI turns interviews, history and opinions into a brand document; you decide which beliefs are worth repeating for a year
· Content — AI scrapes what's working, breaks down hooks, builds the topic bank; you decide which trends fit and which would cheapen the positioning
· Production — AI drafts, re-hooks and schedules; the final take, the story, the emotion — that's you

So how does a beginner actually start? Here's his process, condensed into 6 steps. Quick disclosure: the skeleton and the specific numbers (10–20 posts per platform, 3–4 pillars broken down further) are his, from the essay. Only the 10-post mix in Step 4 is my own breakdown to make it easier to follow. In a hurry? Jump to Steps 4 and 5 — that's the door-knocking play you can run tonight. Steps 1–3 are the delivery system once a client says yes.

Step 1: Pick one specific type of founder
"I do AI content" is too wide to sell. Pick one person you could study for a year: SaaS founders, consultants with deep expertise and no posting habit, small business owners whose content can't keep up with their product. Your output from this step is one sentence: who you serve, and what it costs them to stay invisible.

Step 2: Build them a brand document
AI's real problem isn't writing. It's not knowing who it's writing for. Pull their 10–20 best-performing posts from each platform and extract four things: the core beliefs they repeat, their verbal habits, the stories that hit hardest, and what they stand against. No back catalogue? Interview them: Who do you most want to help? What did you learn the hard way? What does everyone in your niche say that you think is wrong? Output: one document every future post grows from — no more asking AI to invent topics from thin air.

Step 3: Build a content map
Set 3–4 content pillars (say: industry insight / personal story / product & proof / contrarian takes). Break each pillar into 5–7 topics, each topic into 5–10 ideas, each idea into 4–5 angles. AI generates the branches from the structures that have already worked for them; you prune whatever doesn't fit the positioning. His claim: this gets you roughly six months of content inventory. Output: the end of "what do I post today?"

Step 4: Write them 10 posts (this is your key)
These 10 posts are your portfolio. My mix: 2 personal stories, 2 industry insights, 2 reasoned contrarian takes, 2 practical how-tos, 2 positioning long-posts. Polish each one until they could publish it almost as-is. Ten lazy AI drafts don't open the door — they close it.

Step 5: DM the finished work. Don't send a resume
This has a track record. JK Molina — the guy Dan Koe credits with starting the Twitter ghostwriting wave — got in by DMing Koe himself, in substance: "I know you don't want anyone writing for you, but I wrote 10 posts for you anyway. Post them, and if you like them, let me write more — or just give me a testimonial." Koe calls this the best strategy he knows for landing a first content client. Someone else applied in public: posted a video arguing Grant Cardone needs a new creative director because his content is stuck in 2016. Cardone replied that he was stuck, and to get in touch.
Structure your DM like this:
"Been following you for a while — your thinking deserves a bigger audience. Guessing you're busy and posting keeps slipping, so I studied your past content and your voice, and wrote you 10 posts. They're attached. Use them free if you like them; if they perform, let's talk about doing this properly."
Value first, pitch second. That's his "permissionless apprentice" idea: don't wait for permission, walk in carrying proof. His claim, not mine: run this properly and he'd find it hard to believe you couldn't land one client in a month.

Step 6: Turn 10 posts into a monthly retainer
Once they've used the posts and seen results, the conversation changes from "ghostwriting" to "running the whole thing": weekly content planning, publishing rhythm, performance reviews, turning winners into long-form and a newsletter. His pricing ladder: $2,500–$5,000/month for the first client to get the machine running, then toward the 1–3 client model at $10k–$75k a month.

Why now? Goldman Sachs research from April 2023 projects the creator economy growing from $250B in 2023 to $480B by 2027. A good product doesn't market itself, and knowing a business isn't the same as expressing it. That gap is the one-person creative team's job description.

Now the teardown — three things before you get carried away:

One: the $10k–$75k pricing has no market data behind it. No close rates, no retention numbers, no income distribution. It's his pricing hypothesis, not a salary you unlock with the right prompts. Premium fees follow the client's business size and your measurable results — nothing else.

Two: Dan Koe founded Eden, the tool this entire workflow showcases. Learn the workflow; build the brand document, the content analysis and the planning in ChatGPT, Claude and docs if you want. Don't confuse a great system with a mandatory tool.

Three — the one that matters: AI writers are not scarce. Anyone can generate 10 posts. What's scarce is judgment — what persona to build, which trend to refuse, how to turn an ordinary experience into a story that travels. That's what clients actually pay monthly for.

So separate the opportunity from the pitch. The opportunity: help people with real businesses turn expertise into a compounding content asset. The pitch: "learn a few prompts, make five figures." Only one of those is a business.

Your first move tonight: pick one founder whose content is clearly worse than their product. Spend 30 minutes on their account, find the 3 ideas that deserve a bigger audience, and write the first post for them. Then finish the 10 and send the DM.

In the AI era, prompts are copyable. A finished piece of work that's genuinely valuable to a specific person — that's the key that opens doors.

[DrFresh @Freshbetterever]

原文：Dan Koe《The most lucrative AI business to start in 2027》，2026-11-03 发表于他的 Substack（The Koe Letter）：https://t.co/AOykX4813t

[DrFresh @Freshbetterever]

Dan Koe 昨天（2026 年 11 月 3 日）算了一笔账，算得我直接停下来把全文读完了：

2027 年最赚钱的 AI 生意，不是一人开公司卖课，是一个人当一支创意团队——只服务 1 到 3 个客户，月费 1 万到 7.5 万美元。第一个客户，他给的起步价是 2500 到 5000 美元/月。

先别急着说这是吹牛，后面我会拆他哪些是真机会、哪些是话术。但这个打法本身，是我今年看过最值得普通人抄作业的一套。

什么叫一人创意团队？

说人话：企业创始人、头部创作者现在最缺的根本不是打字员，是没精力思考内容。他们有业务要管，又必须做个人品牌。

以前这活要养三个人：
→ 品牌策略师：定定位、立人设，保住信任和权威，不追没意义的烂热点
→ 内容策略师：研究爆款格式和选题库，负责账面流量
→ 内容写手：一条条写推文、脚本和长文

现在，一个会用 AI 的人可以把这三张桌子拼成一张。拼法不是让 AI 全自动放养：原文里一位内容机构从业者的说法很说明问题——他的活儿变成了审稿和改稿，一天约 4 小时，过去约 12 小时。AI 把调研、初稿这些执行活顶掉，人只干两件事：把关策略，把关审美。

AI 顶执行，人顶判断：
· 品牌策略——AI 整理访谈、经历、观点成品牌档案；什么观点值得长期讲，人判断
· 内容策略——AI 扒竞品爆款、拆标题结构、攒选题库；什么热点能追、什么会伤定位，人筛选
· 内容生产——AI 出初稿、改标题、排日历；最终的观点、故事和情绪，人拍板

那普通人具体怎么从零开始？我把他的流程收成 6 步。先交代两句：流程骨架和里面的具体参数（每个平台扒 10–20 条、3–4 个支柱再往下拆）都是他原文给的，只有第 4 步 10 条推文的配比是我为了好照着做补的拆解。赶时间的直接跳第 4、5 步——那是今晚就能敲门的打法；前 3 步是接住客户之后的交付系统。

第 1 步：选一个具体的创始人类型
不要喊「我做 AI 内容服务」，太宽了。选你愿意长期研究的一类人：SaaS 创始人、有专业知识但没时间更新的顾问、有产品有客户但内容跟不上的小企业主。选完，产出就是一句话：我服务谁、解决他什么问题。

第 2 步：给他建一份品牌档案
AI 最大的问题不是不会写，是不知道在替谁写。把他过去表现最好的 10–20 条内容找出来，喂给 AI 拆四样东西：反复出现的核心观点、独特的表达习惯、最能打的故事和经历、他反对什么相信什么。没有历史内容的，就访谈式提问：你最想帮谁？你踩过什么坑？你有哪些同行都在说、但你认为不对的观点？产出：一份能反复调用的档案，后面所有内容都从这里长出来，不再每天让 AI 凭空想选题。

第 3 步：搭一张内容地图
定 3–4 个内容支柱（比如：行业洞察 / 个人经历 / 产品与案例 / 反常识观点），每个支柱拆 5–7 个主题，每个主题拆 5–10 个创意，每个创意再拆 4–5 个角度。AI 参考过去 6–12 个月跑得好的内容结构来生成，你负责砍掉不符合定位的。原文说，这样能攒出约半年的内容储备。产出：一张长效选题地图，告别每天问「今天发什么」。

第 4 步：替他写好 10 条推文（这一步是敲门砖）
这 10 条就是你的作品集，配比照着来：2 条个人故事、2 条行业洞察、2 条有逻辑的争议观点、2 条实操经验、2 条立定位的长推。每条认真改到对方几乎能直接发的程度——随便让 AI 吐 10 条垃圾，等于把门敲坏了。

第 5 步：私信直接送成果，不投简历
这招有真实先例。JK Molina 被 Dan Koe 称为开创了推特代笔这行，他当年就是这么私信 Dan Koe 本人的：「我知道你不想让任何人替你写，但我还是替你写了 10 条，你先发发看，喜欢就让我继续写，不喜欢给我个评价就行。」Dan Koe 说，这是他能想到拿下第一个内容客户最好的策略；还有人干脆公开拍视频申请当 Grant Cardone 的创意总监（点名说他的内容还停在 2016 年），Cardone 本人回复说自己正卡着、来联系。
话术照这个结构写：
「嗨，关注你有一段时间了，你的很多观点值得被更多人看到。我猜你最近忙，没太多时间持续更新，所以我研究了你的过往内容和表达风格，直接替你写好了 10 条推文，放在这里了。觉得不错就直接拿去发，不用付费；如果确实有帮助，我们再聊后续合作。」
先给价值，再谈合作。这就是他说的免许可学徒模式：不用等任何人给你许可，先做出成果，拿着成果去敲门。他原话的意思是：真照这么干，他很难相信你一个月拿不下一个客户。

第 6 步：从 10 条推文滚成月费
对方用了、有效果，接下来谈的就不是代写，是整套运营：每周内容计划、发布节奏、数据复盘、把高表现内容改编成长文和 Newsletter。定价阶梯也是他给的参考：首个客户 2500–5000 美元/月先跑通，跑顺了再往 1–3 个客户、月费 1 万到 7.5 万美元的模型走。

为什么说这个窗口是现在？高盛 2023 年 4 月的研究预测，创作者经济会从 2500 亿美元涨到 2027 年的 4800 亿美元。产品做得好不等于市场知道你，创始人懂业务不等于懂表达，这个缺口就是一人创意团队的饭碗。

最后拆穿三条，免得你看完上头：

第一，1 万到 7.5 万美元这个收费，没有市场数据支撑。他没给出成交率、留存率、从业者收入分布，这是他的定价设想，不是普通人照抄就能拿到的收入。能收高价靠的是客户的商业规模和你交付的结果，不是会用几个提示词。

第二，他本人是文中工具 Eden 的创始人，整篇工作流都在给自家工具抬轿子。学他的工作流就行，品牌档案、内容分析、选题规划，用 ChatGPT、Claude 加文档表格一样能搭，不必迷信某个工具。

第三，也是最关键的：AI 写手一点都不稀缺，谁都能让 AI 写 10 条推文。真正稀缺的是判断——这个人该立什么人设、什么热点不能追、一段普通经历怎么讲成有传播力的故事。这才是客户愿意按月付钱的原因。

所以真机会和话术要分开：真机会是帮有真实业务的人，把专业和经历变成持续的内容资产；话术是「学会几个提示词就月入几万」。

今晚就能做的第一步：挑一个你喜欢、但内容明显没做好的创始人，花 30 分钟扒他的账号，找出他最值得传播的 3 个观点，替他写出第 1 条推文。写顺了，补到 10 条，私信发过去。

在 AI 时代，提示词谁都能复制，先做出一份对别人真的有价值的成果，才是你敲得开的那扇门。

[DrFresh @Freshbetterever]

官方稿 https://t.co/c8Ovx2zQwz

[DrFresh @Freshbetterever]

Agent 跑偏了，你连关都关不掉——这件尴尬事，昨天被做成了一个卖钱的产品。
11 月 3 日，CrowdStrike 在 Fal.Con Europe 上，给它今年 9 月就已上线的 Agent 安全平台 Falcon Guardian 加了个新功能：AI Kill Switch。说人话就是给企业里的 AI Agent 装了一个急停按钮：管理员一键下去，跑偏的 Agent 会被掐住、禁止重启、断掉内网访问。今天就能用——但它到底停到哪一步，第二条说清。

[DrFresh @Freshbetterever]

需求有多真？按 CrowdStrike 首席产品官对 Forbes 的说法，急停是 Guardian 每场客户对话都会被问到的功能。官方稿里一位客户安全负责人说得更直白：有了最终决定权，反而敢更快地放行更多 Agent。
同场它还宣布收购做 Agent 可观测的 Fiddler 和做 AI 红队的 Dreadnode（两笔都要到 2027 财年第四季度才完成交割）。一家公司把「看得见、测得出、停得下」一次买齐——这个信号比产品本身更值得看。
你的 Agent，有一个你按得下去的急停键吗？

[DrFresh @Freshbetterever]

openclaw https://t.co/swyk9LKOOt
hermes-agent https://t.co/tgpkTQOHYG
paperclip https://t.co/FTte597UIf
openhuman https://t.co/ZyvoWYeagi
nanoclaw https://t.co/sp9GFAbYqW
eigent https://t.co/C1YskcLqrC
OpenMausBot https://t.co/yHInidAsyQ
OpenBot https://t.co/GhPcqBRDAi
rakazo https://t.co/qYpsvsvlEa

[DrFresh @Freshbetterever]

Grok Bot 是 xAI 的个人 AI 助手，能接进聊天软件替你干活，火是真火——但要订阅，代码也不开源。
不想要这两样？这 9 个开源平替，名单是 @de1lymoon 整理的，我今天逐个回 GitHub 仓库核了星数现值，画成了一座城：楼越高，星数越多（2026-11-04 实测）。

rakazo — 6,874★，Apache-2.0：Grok Bot 的开源版，自选模型，自带沙箱
OpenMausBot — 11,742★，Apache-2.0：给 bot 配了一台虚拟机干活
OpenBot — 10,042★，MIT：每个 AI 同事有自己的一台"电脑"，浏览器、文件、工具齐活

eigent — 15,732★，Apache-2.0：开源版 Cowork 桌面端，本地免费跑
paperclip — 110,861★，MIT：给 Agent 团队用的管理台，角色、预算、审批、看板都有

openhuman — 42,529★，GPL-3.0：智能体运行框架（harness）
hermes-agent — 260,284★，MIT：会自己攒技能、留记忆、跑定时任务

nanoclaw — 31,077★，MIT：轻量版 OpenClaw，本体跑在容器里，接 WhatsApp 这些聊天软件
openclaw — 393,867★，MIT：这个品类的开创者，全平台的个人 AI 助手

九个合计 883,008 星，全部免费、开源、能自己部署。

说句实话：平替不是免费的午餐——自己部署、自己维护、自己排障。Grok Bot 胜在开箱即用。开源换来的是：不花订阅钱、模型自己挑、数据在自己手里。值不值，看你愿不愿意折腾。

挑法上我认同 @de1lymoon 给的建议：别九个全装，挑一个，拿一个真任务跑一周，省不到时间就弃。

9 个仓库链接放首回。先存着，慢慢挑。

[DrFresh @Freshbetterever]

@leo_xiaolei 可以，我也来试试

[DrFresh @Freshbetterever]

@a10025250 哈哈，祝你早日梦想成真

[DrFresh @Freshbetterever]

@Haosen9527 所以接下来拼的不是谁的 Agent 更多，而是谁的审批流更稳：分级授权、一键回滚、审计粒度够细。
你现在用 Agent，最卡你的是“它做不出来”，还是“它做完了你不敢批”？

[DrFresh @Freshbetterever]

你以为用上常驻 Agent 之后，瓶颈是“它会不会做”。
真相是：瓶颈会挪到“你敢不敢批”。

[DrFresh @Freshbetterever]

一个后台 Agent 一小时能攒十几条待确认。它跑得越快，排队等你点头的东西就越长。所谓“只处理审批”，一不小心就变成“只负责兜底”——回滚和审计没跟上，出事还是人背锅。
这话不是我编的：昨晚一条常驻 Agent 的帖子下面，读者 @Haosen9527 把这层说得很透。

[DrFresh @Freshbetterever]

@isnail @JasonCharlie12 这个我是真在干：GitHub 上挖到好项目，第一件事不是收藏，是拉下来跑一遍——跑通了写成清单帖，跑不通就写避坑。仓库的 star 数会骗人，自己跑一遍的手感不会。上周刚靠这个挖到两个能直接用的 Agent 工具，比刷资讯站快多了。

[DrFresh @Freshbetterever]

@vista8 我自己业余也在做 AI 视频，体感是单镜头质量已经够用了，真正卡脖子的是跨镜头的一致性和叙事节奏——人物换张脸观众就出戏。短剧反而是最适合先跑通的形态：一集几分钟、反转密，能把节奏问题先磨出来。宋导那部我去补一下。乔木老师觉得一致性这块，今年能被新模型解决吗？

[DrFresh @Freshbetterever]

@dotey 深有感触。我现在让几个 Agent 并行写代码，最先崩的不是模型能力，是我自己的 review 队列：一个下午能攒出几十个 diff，挨个看完天都黑了。Git 只是表象，真正被 AI 改写的其实是代码审查的带宽。好奇 OpenAI 文里有没有提他们内部怎么消化这么多待审代码？

[DrFresh @Freshbetterever]

https://t.co/ZtnZYI9G9O

[DrFresh @Freshbetterever]

10 月 29 日，法国 AI 公司 Mistral 把它最大的模型 Mistral Large 4 的权重全公开了：1 万亿参数、能看图能写代码，谁都能免费下载到自己服务器上跑，不用再把数据喂给闭源 API。外号"Le Chonk"（胖墩）。

[DrFresh @Freshbetterever]

一句话总结：它不是来跟闭源旗舰拼智商的，是来抢"数据不能出门"的那批客户的。你觉得开放权重这条路，能抢走多少闭源的市场？