Open-source Grok Bot content director architecture: one person builds 10 sub-Agents
A blogger has open-sourced a template for using Grok Bot as a content director, claiming that in October it drove 2.2 million impressions (this figure is self-reported by the blogger and its authenticity is questionable). The architecture has two steps: the director Bot first scrapes the last 30 historical posts, distills speaking habits, audience profiles, and 3 viral post skeletons into the system prompt; then it splits out more than 10 vertical sub-Agents, respectively responsible for monitoring trends, compressing long articles into short tweets, syncing Notion schedules, and connecting to X distribution. Based on this, the author adjusted a version of the content director prompt, claiming it can be fed directly to Grok or Claude for trial use, but it has not yet been deeply tested.
View original postHow to directly assign tasks to Grok Bot on X, a nanny-level video guide (with prompts)!! Many people are still treating Grok as an ordinary web chat box. In fact, commanding @bot under any post is the real physical cheat that Old Ma installed on X. I'll teach you step by step how to directly assign tasks to Grok Bot in the X comment section, with a ready-made viral post breakdown prompt attached. Copy and paste it and let AI work for you. When scrolling X and seeing good content, you no longer need to copy links everywhere and switch to the background. Just reply directly under any tweet with @bot to assign a task, and your personal cloud AI assistant will automatically break it down and analyze it for you in the background. This is currently the smoothest productivity posture for finding topics and doing research on X, directly turning the entire X comment section into your own dedicated AI command line that you can invoke anytime, anywhere. Following your reply, it can understand the original post content, quoted tweets, and even information in attached images all at once, run deep research on its independent cloud computer, and sync the complete delivery results directly back to your App. The most practical topic-finding command, copy this line directly to the comment section and try it: @bot break down this post: explain in one sentence why it went viral and where the hook is, then give me 2 Chinese rewriting angles each with a 140-character draft, list the original post's viewpoints and data separately, and mark which ones have not yet been verified. Of course, here are a few pitfalls to note from actual testing: → Posts with videos or GIFs currently cannot be triggered → Don't accidentally @ grok at the same time; keep only one bot in the reply → Whether it can be used depends on the country originally registered on your X account; temporarily switching nodes does not work → Only a one-line confirmation is publicly replied on the X page; the detailed analysis results of dozens of pages remain in the App for viewing Essentially, the final form of an AI assistant is never forcing you to open a dozen web chat boxes and jump back and forth, but rather embedding itself like water and electricity into the native scenarios where you consume information most densely every day. More high-frequency task-assignment command templates and pitfall-avoidance details are in the first floor. Brothers who often look for inspiration on X should hurry and keep a copy.
View original
怎么在在 X 上直接给 Grok Bot 派活，保姆级视频指南（附提示词）！！ 很多人还在把 Grok 当普通的网页聊天框，其实在任意帖子下 @bot 下指令，才是老马给 X 装上的真正物理外挂， 手把手教你在 X 评论区直接给 Grok Bot 派活，附带一条现成的爆款拆解提示词，复制粘贴就能让 AI 替你打工。 刷 X 看到好内容不用再到处复制链接切后台了， 在任意一条推文下面直接回复 @bot 派活， 你的个人云端 AI 助理就会在后台全自动帮你拆解分析。 这是目前在 X 上抓选题和搞调研最丝滑的生产力姿势， 直接把整个 X 评论区变成了你随时随地能调用的专属 AI 命令行。 它能顺着你的回复，把原帖内容、引用推文甚至配图里的信息一次性全部读懂， 并在它的独立云电脑上跑完深度调研，把完整的交付结果直接同步回你的 App。 最实用的找选题指令，直接复制这行去评论区试： @bot 拆解这条帖子：用一句话说清它为什么火、钩子在哪里，再给我 2 个中文改写角度并各附一条 140 字草稿，把原帖的观点和数据单独列出来，标出哪些还没核实。 当然也说几个实测必须注意的避坑边界： → 帖子带视频或 GIF 动图暂时无法触发 → 别手抖同时 @ 了 grok，回复里只留一个 bot → 能不能用看的是你 X 账号最初登记的国家，临时切节点没用 → X 页面上只公开回一句确认，几十页的详细分析结果留在 App 里面看 本质上，AI 助手的终局形态从来不是逼你开十几个网页对话框反复横跳， 而是像水和电一样，死死嵌进你每天消耗信息最密集的原生场景里。 更多高频派活指令模版和排坑细节放一楼了，经常在 X 上找灵感的兄弟们抓紧备一份。
Body · AI translation
Folks, stop letting a single AI chat window write everything for you from start to finish. Once you understand this open-source Grok bot content-director architecture, one person can build a 10-person content team with each member doing its own job.
Just now my bot pushed a Grok bot usage tip to me, saying a blogger had open-sourced the Grok Bot template he uses as a content director, claiming he racked up 2.2 million impressions with it in October,
But that number is self-reported, so let's put a question mark on its authenticity for now.
I happen to run a similar multi-agent writing workflow myself day to day, so I took a look inside his template, and the architecture is indeed quite neat.
Most people using AI to help write tweets open a new chat window and retrain it every time, so the output swings high and low. This template's approach is to first use the main Bot as editor-in-chief to set the rules, then dispatch 10-plus vertical sub-agents beneath it.
The core of the whole workflow is just two steps.
Step one: have the director Bot scrape your last 30 historical posts and extract in one go your speaking habits, audience profile, and the 3 viral skeletons that most often produce results, then weld them firmly into the system prompt.
Step two: it then splits off vertical sub-agents—some specifically watch for hot topics and catch leads, some are responsible for compressing long articles into short tweets, and others sync drafts into Notion for scheduling, finally hooking up to X ready for distribution.
The director Bot is the editor-in-chief, the sub-agents are vertical reporters and editors, and Notion is the scheduling blackboard.
What really creates the gap is never how fast the sub-agents write, but whether the director Bot holds down your baseline of tone. Without this layer of constraint, even 100 agents would just mass-produce cyber garbage.
To be honest, multi-agent chains are most prone to going off track during long-chain execution, and the 2.2 million impressions also include the account's own baseline weight; AI can never replace your real aesthetic, but it can save you most of the mechanical hauling effort.
Based on this logic, I've tuned a ready-to-use content-director prompt myself. It hasn't been deeply tested yet; the full Prompt and template link are in the first floor, so you can copy them straight into Grok or Claude and give them a try.
If you were given 10 sub-agents, which part would you most want to offload first? My approach is I offload topic pre-screening in a second, but the final golden-line polishing—over my dead body—I keep for myself, haha 😄