Grant Miller @AIGuide_
怎麼用 Grok Bot 組一整個行銷團隊:多數人完全……
怎麼用 Grok Bot 組一整個行銷團隊:多數人完全用錯了 他們裝好,建一個叫「assistant」的 bot,叫它寫一些 tweets,然後結論是這只是多幾步的 Grok……
原文:how to build an entire marketing team with Grok Bot: most people are using this thing completely wrong they install it, create one bot called "assistant", ask it to write some tweets, and conclude it's just Grok with extra steps that's not what this is here's the full build, from install to a marketing department that runs while you sleep: start here: understand what you're actually holding every bot runs on a persistent cloud computer with its own browser, filesystem, and terminal it signs into your real tools and finishes the work IN them, not as drafts in a chat box and every bot you create shares ONE computer tied to your account same files, same browser sessions, same logins that's the entire unlock: bot A finishes something, bot B picks it up without you re-explaining a thing remember the shared computer part, it becomes a security problem later in this post setup takes about 10 minutes... what you need: > SuperGrok Heavy, Cursor Ultra, or Cursor Teams Premium > the desktop app for macOS or Windows (no Linux build) > you sign in with a Cursor account > iOS works too if you want it in your pocket install, sign in, create your first bot a bot needs three things: - a short name - ONE primary job - a description of how it should work that middle one is where everyone blows it do not build one mega bot that "does marketing" focused bots compound context over time, generalist bots stay stupid forever when your bot hits a login wall: open the Agent Computer view, take over, type the password and 2FA yourself, hand control back the session persists for every other bot on the machine now let's build the team... build 3 first, prove they work, then expand anyone who spins up 8 bots on day one ends up with 8 mediocre ones SCOUT (research and competitive intel) "track our five named competitors weekly. pricing pages, ad libraries, review sites, launches. preserve links and screenshots. separate what CHANGED from what you INFER it means. never contact anyone." that separation line matters more than it looks without it you get confident speculation dressed up as research INK (content and copy) "draft in our house voice. always produce three headline options. cite every factual claim. never publish, leave drafts for approval." feed it your 10 best performing pieces as voice reference on day one skip this and everything it writes sounds like everything everyone else is writing GAUGE (analytics and reporting) "compare this week to the trailing four weeks. lead with the largest change. link every chart. never modify a dashboard." then once those three are stable: > ECHO --> social and community monitoring (tightest leash of the group) > LEDGER --> campaign calendar, briefs, asset tracking, chasing what's late > PIXEL --> asset production > FUNNEL --> lifecycle and email here's the part everyone skips... six bots in six separate chats is not a team, it's six chatbots you can put 2 to 6 bots in a group chat where they message each other, pass context, and hand off ownership you stop being the router between tools a campaign kickoff looks like: "@Scout pull competitor positioning on this feature, link every claim. @Ink turn it into a landing page draft plus three ad variants. @Gauge build the tracking plan. nobody publishes anything." one rule: ONE owner per stage too many parallel handoffs and you get duplicate work plus a transcript full of noise sequential beats simultaneous almost every time now make it a machine... two building blocks: skill = reusable instructions for HOW to do a task routine = tells one bot WHEN to run it the order matters and people get it backwards do the task once manually --> make it reliable --> save it as a skill --> THEN automate it automating a process you haven't validated just industrializes your mistakes at scale a skill that actually works states: - when to use it - what access it needs - the sequence of work - how to validate the result - what to return - what requires approval there's also teach by demonstration (love this one) open the computer view, hit "teach a task", perform the workflow once, and it saves a draft skill from what it watched records up to 10 minutes of visible screen activity do not have your password manager open while you do this then schedule it: "every monday 8AM, run the competitor sweep and post a linked summary here. if the source data is unavailable, report the failure instead of using old data." that last sentence is not optional an agent with no stale data policy will hand you last month's numbers with total confidence always test run first, a test run does real work... real clicks, real files, real API calls very important: how to operate this WELL this is the difference between value and expensive noise #1 automate preparation, not execution bots draft, research, reconcile, and recommend YOU send approval required on anything that publishes, purchases, deletes, emails your list, or touches a production system no exceptions in month one #2 demand evidence on every output links, screenshots, or an action log an agent that can't show you its sources isn't researching, it's generating #3 brief the outcome, not the clicks bad: "go to GA4, click reports, then..." good: "tell me which acquisition channel lost the most activation this month and why" you hired a teammate, brief it like one #4 correct preferences out loud stop silently fixing its formatting every week say it once: "from now on weekly reports are five bullets, inline source links, and a final section called Decisions Needed" now it's permanent #5 watch the shared computer every bot can reach every login on that machine if your ad account and your CMS both live there, your social monitoring bot can technically touch your ad spend be deliberate about what you sign into and when #6 keep a human on brand voice AI marketing copy converges toward generic fast the fastest way to sound like everyone else is to stop reading the output human edit on anything customer facing for at least a quarter #7 narrow your triggers "every new slack message" is not an automation, it's a noise generator match on specific phrases in specific channels or don't build it here's what you need to understand... this does not replace marketers it replaces coordination overhead, research compilation, first drafts, report assembly, and chasing people for assets it does not replace positioning judgment, knowing which bet to make, or relationships with actual humans realistic outcome: one marketer operating at the throughput of three or four not zero marketers and budget 2 to 3 weeks of genuinely unglamorous setup before it earns its cost everyone who quit early quit during week two that's the whole playbook: build 3 bots, one job each, approval on everything external, save what works as a skill start today follow me for more
根據 @AIGuide_ 在 X 公開分享的例子。
查看 X 原帖 ↗他們做了什麼
how to build an entire marketing team with Grok Bot: most people are using this thing completely wrong they install it, create one bot called "assistant", ask it to write some tweets, and conclude it's just Grok with...
怎麼運作
Grok Bot Pulse 收錄了這則公開 X 貼文。我們保留原帖連結,沒有在這裡重跑這個 Bot。
為什麼重要
原始 X 貼文才是來源。這張卡是簡短整理,不是把整串貼文重印一次。
為什麼有用
有人把工作交給 Grok Bot 的公開例子,這裡保留出處。
誰應該試
- 開發者
- 工程團隊
Grant Miller on X
X 原帖
下方是 X 原帖(原文)。如果原帖被刪、帳號之後改為受保護或被停用,X embed 可能無法載入。這一頁的摘要和譯文會留下來。