If you give AI a topic and ask it to write a LinkedIn post that leaves out the work that makes the post worth reading: understanding your buyers, finding an interesting angle, pulling together evidence, and knowing what you can credibly say.
These 12 prompts turn that work into a repeatable system, from researching your market to building a content calendar and identifying which posts contribute to real business conversations.
Here's what you'll build:
- A voice guide based on how you actually communicate.
- A research process that finds useful ideas before you need them.
- A draft and review workflow with specific quality standards.
- A reporting loop that helps you decide what to write next.
Grok Bot suits this kind of system: each teammate you create keeps its own role and memory, works on a persistent cloud computer, and carries on with scheduled work after you close the laptop.
Save this for your next content planning session.
## Before You Run a Single Prompt: Load Your Business Context
Grok Bot needs more than your job title and a request to "sound human." Give it enough context to understand who you sell to, what you believe, and which claims you can support.
Paste this first:
> Use the following as the working context for my LinkedIn content. Save it in a reference document I can reuse, and tell me where it is stored.
> Business: [Company name, website, product or service, and typical sales cycle].
> Audience: [Buyer roles, company sizes, industries, and locations]. Their main problems are [problems], their common objections are [objections], and the events that make them look for help are [triggers].
> Positioning: We help [audience] achieve [outcome] through [approach]. Our strongest differences are [differences]. We are not a good fit for [disqualifiers].
> Point of view: I believe [three opinions about my industry]. I disagree with [common advice] because [reason].
> Evidence: Use these approved case studies, results, examples, and personal experiences: [sources]. Do not invent customers, revenue figures, stories, or quotations.
> Voice: Here are [10-20 posts] and [transcripts or writing samples] that sound like me. Avoid [phrases, tones, and formatting habits].
> Goals: My primary LinkedIn objective is [qualified conversations / deal support / recruiting / awareness]. My offer is [offer], and the next step I want interested readers to take is [action].
> Working rules: Use connected sources only where access is available and authorized. If a source is inaccessible, ask for an export or pasted material. Keep LinkedIn publishing, comments, connection requests, and messages with me. Draft into [review destination], distinguish evidence from inference, and flag anything that needs my input.
Keep that context current as your offer, audience, and opinions change.
### Where Grok Bot keeps this context
Grok Bot is not the Grok chat app. It is a separate xAI app where you create named AI teammates, each with one job, and every teammate on your account works on the same cloud computer with a browser, a filesystem and a terminal. That gives this context two layers:
- **A file everyone can read.** Paste the prompt into the chat of a new teammate you call, say, "LinkedIn Editor," and ask it to save the result as `linkedin-context.md` on its computer. The files on that computer are shared by every teammate on your account, so the researcher and the reviewer you add later read the same document instead of a copy.
- **Memory per teammate.** Each teammate also keeps its own memory: stable preferences, its role, and summaries of earlier work. Conversations stay separate between teammates, and only a few facts about you, like your name and time zone, are shared. Ask "What do you remember about me?" after the first session to see what stuck.
A description for the first teammate can be as simple as this:
```
Name: LinkedIn Editor
Job: Keep my LinkedIn content system running.
Description: Read linkedin-context.md before every job. Draft and review
posts in my voice. Keep sources for every claim and mark what is inference.
Never publish, comment, connect or send messages. Leave drafts for me.
```
If you already built this context in another AI assistant, use **Import Memory** in Settings to bring it into your primary teammate rather than retyping it. Later you can give a colleague the same setup: open the teammate's details, choose **Share**, then **Create a copy**. The copy carries the teammate's configuration but not your computer, logins or conversations, so strip anything confidential from its description first. For the "review destination" in the prompt, name a Page: Grok Bot can build Pages, such as reports and dashboards, that you edit together and that the teammate keeps up to date.
## PART 1: RESEARCH + CONTENT PRODUCTION
Prompts 1-8
## 1. Build Your Voice Guide
A useful voice guide should explain the choices behind your writing, including how you introduce an argument, use examples, and move between ideas.
"Conversational and authoritative" won't get you very far.
> Analyze my supplied posts and transcripts to build a practical LinkedIn voice guide.
> Identify:
> How I open posts, explain ideas, and close an argument.
> My usual vocabulary, sentence lengths, paragraph lengths, and use of lists.
> How I express disagreement, uncertainty, humor, and confidence.
> Phrases I use naturally, with verbatim examples and source references.
> Writing habits that appear in weaker examples but should not become rules.
> Create a list of phrases and patterns to avoid, including unnecessary repetition, manufactured drama, unsupported certainty, and excessive one-line paragraphs.
> Finish with three before-and-after examples showing how you would edit generic copy into my voice without changing its meaning. Keep the guide specific enough that another writer could apply it.
**In Grok Bot:** drop your posts and transcripts into the LinkedIn Editor's chat, in a chat only you can see, the teammate reads your own private files without asking first. When the guide reads right, ask it to save the guide as a skill called "my-voice" and to show you the skill before saving. A skill is a reusable set of instructions, and skills are available across teammates, so every writer you add later uses the same voice rules. Add the openers you never use ("I'm thrilled to announce," "In today's world") to the avoid list by name. Keep the editor focused: a short name, one main job and a clear description give a teammate more useful context over time than a general "content helper" would collect.
**Why this matters:** A good voice guide makes feedback reusable. Instead of correcting the same phrasing every week, you can improve the instructions that shape every draft.
## 2. Find the Buyer Questions Worth Answering
Your sales calls and customer conversations can reveal questions that never show up in a keyword tool. The useful ones usually involve a decision someone is struggling to make.
> Review the supplied sales calls, support conversations, customer interviews, and closed-lost notes from [period].
> Group recurring questions into:
> Problems buyers are trying to understand.
> Concerns that delay a decision.
> Alternatives they are comparing.
> Expectations that lead to disappointment.
> Questions they ask immediately before they sign.
> For each theme, include an anonymized quotation, source reference, number of distinct conversations where it appears, buyer role, and stage in their decision.
> Suggest two LinkedIn angles per theme: one that helps the reader diagnose the problem and one that helps them evaluate a solution. Rank the top 10 by recurrence, commercial relevance, and the strength of our available evidence.
> Separate explicit buyer statements from your interpretation.
**In Grok Bot:** open **Connect apps** and add the places your conversations live: Gmail, Google Drive, Notion, Slack, or your support tool's plugin from the marketplace. Grok Bot prefers a connector when one exists and falls back to its browser for the rest, if a site asks for a login or a human check, the teammate hands that step to you. Before the first run, ask the teammate which apps it can reach right now, then: "Add these to shared memory, so every future teammate knows where to find this." Make the first run read-only ("read, do not reply or change anything") and ask for the ranked themes on a Page, so prompts 5 and 9 can build on them.
**Why this matters:** This gives you a content backlog tied to conversations your business is already having, with language you can recognize and evidence you can check.
## 3. Find Topics Moving From X Into Your Market
A discussion gaining attention on X can become a useful LinkedIn post, provided you explain why it matters to your buyers and contribute something beyond a rewrite.
> Using available X search tools and accessible public sources, review the last [seven days] of discussion around [topics] and these accounts: [accounts].
> Find up to 10 developments or arguments relevant to [buyer].
> For each, return:
> The original source, author, publication date, and link.
> A neutral summary of what happened or what is being argued.
> The strongest competing interpretations.
> The practical implication for our audience.
> A possible angle supported by our experience or evidence.
> Label engagement figures as a snapshot, avoid treating popularity as proof, and check factual claims against original sources where possible.
> Recommend three ideas worth developing, explaining what I would need to contribute before each becomes a credible LinkedIn post.
**In Grok Bot:** X is wired in more deeply here than in any other part of the workflow. Asking a teammate about your X account connects X through your linked X account, and the X connector gives it search on top of that. Two habits make this prompt better:
- **Collect during the week.** When you see a thread worth a reply on LinkedIn, tag Grok Bot under the post on X. That hands the post to your teammate, so by Friday the research already has a shortlist you picked by hand.
- **Give the research its own teammate.** Create a "Researcher" whose only job is this prompt, and put it in a group chat with the LinkedIn Editor. The researcher posts the ten developments, the editor checks them against your evidence, and you only step in to choose the three ideas.
Do not ask it for follower breakdowns: X does not offer that data, and Grok Bot will say so. Engagement numbers it returns are a snapshot of the moment it looked. If you already filter X with Advanced Search operators such as `min_faves:500`, put them in the brief so the researcher starts from discussions that have already drawn a crowd, then ask it to find the angle your buyers have not seen yet.
**Why this matters:** Research gives you a starting point, your judgment gives readers a reason to follow you. A useful adaptation connects the discussion to a decision they actually face.
## 4. Analyze Posts That Outperform Their Authors' Usual Results
Comparing every post with a celebrity account's biggest hit will distort your research. Compare a post with that author's typical results first, then examine what might explain the difference.
> Analyze this supplied LinkedIn swipe file and the available performance data: [file].
> Where enough comparable data exists, compare each post's engagement with the author's median for a similar format and period. Show the calculation and flag small samples, missing metrics, and unusually recent posts.
> For the strongest outliers, identify:
> The topic and intended reader.
> The opening, argument, supporting evidence, and closing.
> The format and approximate length.
> Whether the discussion suggests genuine buyer relevance.
> Possible confounding factors, including a launch, news event, or unusually large distribution.
> Produce five reusable structural patterns, then propose an original idea for each using my own expertise. Do not copy distinctive wording or present an observed pattern as an algorithm rule.
**In Grok Bot:** because the teammate has a terminal on its cloud computer, ask it to compute the medians with a small script and keep that script next to the swipe file. Next month you rerun the same calculation on new data instead of trusting a fresh estimate. Tables in the chat have a copy button for Slack or Markdown, which makes the outlier list easy to move into your notes. To check one post by hand, use our [LinkedIn engagement rate calculator](/tools/linkedin/engagement-rate-calculator). Ask the teammate to note on the Page which outliers came from accounts far larger than yours, because their structure travels better than their numbers.
**Why this matters:** You get a more useful set of hypotheses to test, while avoiding the assumption that copying a successful post's layout will reproduce its results.
## 5. Turn Recorded Expertise Into Original Posts
A transcript can contain a strong post buried inside a story, an offhand explanation, or a disagreement that deserves more attention than it received in the original conversation.
> Review this interview, podcast, webinar, or meeting transcript: [source].
> Find eight moments that could support an original LinkedIn post. Prioritize decisions, mistakes, surprising observations, practical explanations, and opinions backed by experience.
> For each moment, provide:
> The exact quotation and timestamp or source location.
> The main idea and who would benefit from it.
> Any context needed to avoid misrepresenting the speaker.
> Supporting facts already available.
> One follow-up question that would make the idea stronger.
> Select the three strongest moments and draft a post from each using my voice guide. Preserve the speaker's level of certainty, remove confidential details, and leave placeholders wherever a result or example needs confirmation.
**In Grok Bot:** point the teammate at the recording's folder in Google Drive, or drag the transcript file into the chat. If you have no transcript yet, start a voice chat with the editor and talk through the story for ten minutes, it is often the fastest way to get raw material in your own words. Ask it to file the eight moments under the transcript's name on the shared computer, so the calendar in prompt 6 can cite them.
**Why this matters:** You can produce content from expertise that already exists without asking someone to manufacture a fresh opinion every time the calendar needs filling.
## 6. Build a Four-Week Content Calendar
A calendar should balance what buyers need to understand with what you have enough evidence to say. Filling every slot with a different version of your offer makes the feed repetitive.
> Build a four-week LinkedIn calendar at [three posts per week] using the approved ideas from our research.
> Include a mix of:
> Practical explanations that help buyers solve a problem.
> Opinions supported by experience or evidence.
> Customer examples we have permission to share.
> Answers to objections and decision questions.
> Occasional offer posts with a relevant next step.
> For each post, specify the reader, single objective, central argument, source material, suggested format, and intended reader action.
> Check for repeated topics, overlapping arguments, unsupported claims, and too many promotional posts. Write full briefs for week one and shorter outlines for weeks two through four.
> Leave room for one timely replacement each week rather than assuming the calendar must remain fixed.
**In Grok Bot:** ask for the calendar as a Page the editor keeps up to date, so a swap in week three changes the Page rather than producing a new file. If you post on X too, tell it that a LinkedIn slot and an X slot must not carry the same line on the same day. With Google Calendar or Outlook Calendar connected, it can also block each publishing slot in your calendar, which is where you will actually see it. Grok Bot can also create images and short videos from a description, so a brief marked "image" or "video" can come with a first visual attached for you to judge. Pick fixed days and hours with our [best time to post on LinkedIn](/tools/linkedin/best-time-to-post) guide and keep them steady, and turn "carousel" briefs into slides with the [LinkedIn carousel maker](/tools/linkedin/carousel-maker).
**Why this matters:** A useful calendar reduces weekly planning work while leaving room for better ideas, new evidence, and changes in the market.
## 7. Draft Posts With Something to Say
The research should determine the argument before Grok Bot starts polishing sentences. Otherwise, you can end up with clean writing that takes several paragraphs to make an obvious point.
> Write three LinkedIn drafts from these approved briefs: [briefs].
> Use my business context and voice guide. For each draft:
> Make one clear argument for one intended reader.
> Open with a specific observation, tension, result, or question supported by the brief.
> Explain the reasoning with a concrete example.
> Use bullets where they make parallel points easier to scan.
> Vary sentence and paragraph length, allowing occasional one-line emphasis.
> End with a useful implication or natural next step.
> Aim for [180-300 words] unless the idea warrants a different length. Avoid repeated conclusions, invented personal stories, exaggerated promises, and formulaic contrasts.
> Supply two alternative openings and explain briefly how they change the emphasis. Flag missing evidence separately from the publishable copy.
**In Grok Bot:** give drafting to a third teammate, a "LinkedIn Writer," whose description includes one trust rule: never invent a number, quote, source or result, and keep uncertainty where the brief has it. Type `/` to call the "my-voice" skill in the chat. When you copy a finished draft out of the chat, headings, lists and links survive the paste into Google Docs or Notion, so the formatting you review is the formatting you publish. Get more opening options from our [LinkedIn hook generator](/tools/linkedin/hook-generator) and paste the best two into the brief, so the Writer drafts against openings you already like.
**Why this matters:** Clear constraints give you drafts that are easier to judge. Your review can focus on the quality of the argument instead of repairing unnecessary filler.
## 8. Create a Separate Editorial Review
Give the reviewer a defined job: find weaknesses in the draft and explain how to fix them. A reassuring "This is strong" is not an editorial process.
> Review these LinkedIn drafts against the brief, source material, business context, and voice guide.
> Score each out of 100 using:
> Buyer relevance: 25.
> Specificity and supporting evidence: 25.
> Strength and clarity of the argument: 20.
> Match with my voice: 20.
> Readability and formatting: 10.
> Show the evidence behind each score. Check every factual claim, identify generic passages, and highlight repetitions, abrupt one-line fragments, and paragraphs that would work better as lists.
> Return a publishable revision, a short explanation of meaningful changes, and any unresolved questions. Treat invented evidence, exposed confidential information, or a misrepresented source as a blocking issue regardless of score.
> Keep everything in the review document for human approval.
**In Grok Bot:** Grok Bot has no model picker, so separation comes from roles. The LinkedIn Editor reviews what the Writer produced, it has its own memory and never wrote the draft, which keeps it from defending its own sentences. Put the Writer and the Editor in one group chat, let them pass the draft back and forth, and ask for the final scores on the review Page. Before you approve, see how the revision looks in the feed, including where "see more" cuts it, with our [LinkedIn post preview](/tools/linkedin/post-preview).
**Why this matters:** A review rubric makes your standards explicit. The score helps organize feedback, while the source checks and editor's judgment determine whether the post is ready.
## The first hour after you publish
Prompt 8 ends with a revision you have approved. Once you publish it, the rest of MAXXING works the same way for everyone: the goal of the first hour, the golden hour, is to collect as many reactions on the post as possible.
1. **Reach out to your own people first.** Ask colleagues, friends, family and clients, anyone you are able to reach, to react to the post.
2. **No such people yet?** Turn to specialized services, but only those that offer quality engagement and have moderation in place.
3. **Join tested groups.** The groups below come from the list in our other articles, and we consider them good.
4. **Try aaas.market, our own service.** Engagement comes from real people. Moderation is at the highest level and the audience is the highest quality, because this is what gets the most attention from us. Membership is closed and starts with verification. Every type of engagement is supported. Start free on aaas.market.
**Hand this step to Grok Bot over MCP.** For engagement, AI agents such as Grok Bot need an MCP connection. aaas.market provides one at once it is connected, your teammate can request any type of engagement on a post you have already published. You keep publishing, commenting, connection requests and messages.
The most reliable way to add a custom MCP server in Grok Bot is to ask for it in chat:
1. In any teammate's chat, write: `Add a custom MCP server called aaas.market at Say "custom server" so Grok Bot does not go looking for a marketplace plugin instead.
2. Grok Bot shows the name and URL on a confirmation card. Check them and click **Add it**.
3. aaas.market uses OAuth, so a connect card appears in the chat. Click it, sign in to your aaas.market account in the browser window that opens, and allow access.
4. Check that it is listed under **Settings -> Plugins -> Yours**. Servers you add are account-wide, so every teammate can use it.
5. After you publish, type `@` in the chat, attach aaas.market, and give the teammate the post URL and the engagement type you want.
If your version of the desktop app shows an **Add New MCP server** dialog under Connect apps, choose **Remote HTTPS**, paste the same URL, then find the server in Marketplace and click **Add**. To keep the order fixed, add an Auto-review rule under **Always Ask** in **Settings -> Permissions**, so the teammate checks with you before it requests engagement on anything.
## LinkedIn engagement groups you can join
We checked these free communities on Oct 21, 2026, and the member counts are the figures each platform displayed that day. Admins run every group independently, so read the pinned rules before you share anything. Prefer not to work through group chats at all? aaas.market brings real engagement to your own posts, and your Grok Bot teammate can request it once the MCP server is connected. Start free on aaas.market.
| Group | Platform | Members | Language | Best for |
|---|---|---|---|---|
| [LinkedIn Engagement Pod & Group](https://t.me/linkedin_engagement_pod) | Telegram | 1,833 members | en | general LinkedIn engagement pod (likes + comments) |
| [LinkedIn Engagement Pod (RVision Digital)](https://t.me/linkedinengagementpod) | Telegram | 1,064 members | en | share posts for likes/comments, connections, skill endorsements |
| [Linkedin engagement pod](https://t.me/linkedinpod1) | Telegram | 488 members | en | general LinkedIn engagement pod |
| [ Social Linkedin/FB/IG Engagement Pod](https://t.me/socialengagementpod) | Telegram | 77 members | en | LinkedIn pod: react + meaningful comment on last 5 posts before shari... |
| [LinkedIn For Breakfast](https://www.skool.com/linkedin-for-breakfast) | Skool | 6,603 members | en | free LinkedIn community with engagement pods, live events |
| [Linkedin Likes and Engagement](https://t.me/linkedinlikesandengagement) | Telegram | 697 members | en | likes/engagement exchange + connections |
| [Linkedin Pod (SF founders like-for-like)](https://chat.whatsapp.com/DBOyIPrDR5IK27yzW606sF) | WhatsApp | n/a (WhatsApp hides count) | en | founders like-for-like on LinkedIn |
| [r/linkedintips](https://www.reddit.com/r/linkedintips/) | Reddit | 38,314 members | en | LinkedIn tips for promoting your brand |
| [LinkedIn Club](https://t.me/linkedinclub) | Telegram | 552 members | en | LinkedIn networking/connections community |
| [r/LinkedInGrowth](https://www.reddit.com/r/LinkedInGrowth/) | Reddit | - | en | LinkedIn growth and connections |
## PART 2: PIPELINE + PERFORMANCE
Prompts 9-12
## 9. Build Content Around Stalled Deals
Some of your most useful content may answer a concern that several prospects have raised privately. The goal is to explain the issue well enough that future buyers arrive better informed.
> Review the supplied CRM records and call notes for qualified deals that stalled during [period].
> Identify recurring objections and distinguish:
> Explicit objections recorded in conversations.
> Possible explanations that remain unconfirmed.
> Operational delays that content is unlikely to solve.
> For each repeated objection, record the buyer role, deal stage, available evidence, and the question a useful LinkedIn post should answer.
> Recommend five content briefs. Each should explain the concern fairly, show where our approach is appropriate, acknowledge where it is not, and identify the proof required.
> Draft the two strongest posts without naming prospects or revealing deal details. Separately, suggest which approved existing resources a salesperson could share in a relevant conversation.
**In Grok Bot:** connect your CRM from the plugin marketplace (Salesforce, for example, shows each of its servers as its own row so you can sign in to every one). Before the first run, tell the teammate its standing boundary in plain words, "never edit CRM records," and ask it to remember it, for anything that writes, add an **Always Ask** rule. Keep the anonymized briefs on a Page your sales team can open. Remember that every teammate shares one cloud computer, so a CRM export saved there is readable by all of them, xAI's own advice is not to treat separate teammates as a security boundary, so delete raw exports once the briefs are done.
**Why this matters:** This connects marketing with the questions salespeople repeatedly need to answer. It also helps you avoid writing persuasive content about problems your buyers do not consider important.
## 10. Prepare Relevant Conversation Briefs
When someone responds to a post, the best next step depends on what they said and whether a business conversation would be welcome. Engagement alone does not establish commercial intent.
> Review these LinkedIn conversations I have supplied: [comments, inbound messages, or manually recorded interactions].
> Group them into:
> Questions that deserve a useful public answer.
> Conversations where sharing a resource would help.
> Explicit interest in our offer.
> General discussion with no commercial next step.
> For each relevant conversation, summarize the person's stated need, available business context, and what remains unknown.
> Draft a response that addresses their actual message before introducing anything else. Where appropriate, suggest one follow-up question or a resource we already have.
> Do not infer commercial intent from a like, invent familiarity, or force a meeting request into a conversation that does not support one. Keep all replies as drafts for me to review and send.
**In Grok Bot:** there is no official LinkedIn connector, so the pattern is "the teammate prepares, you post." Paste the comments and messages in, or forward them from email, and ask for each reply as a draft card. When an enquiry arrives by email, the teammate can prepare a Gmail reply as a draft, the draft card has a Discard button, and nothing goes out until you send it. Answer every useful comment on your post while the thread is fresh. If salespeople should use these briefs too, publish the Editor as a shared teammate in Slack, so they can ask for a brief on a commenter without opening the app. Between your own posts, leave thoughtful comments under other people's posts in your niche, the [LinkedIn comment generator](/tools/linkedin/comment-generator) gives you a first version to rewrite in your words.
**Why this matters:** Preparation can make your responses more thoughtful without turning every interaction into a sales sequence. Sometimes the right outcome is simply a useful answer.
## 11. Report on Business Results With Clear Attribution
Impressions help you understand distribution, but they cannot tell you whether the right people became interested or whether a post contributed to a deal.
> Combine my supplied LinkedIn analytics, tracked website visits, inbound inquiry records, and relevant CRM data for [period].
> Report on:
> Reach and engagement by post, topic, and format.
> Qualified inbound conversations.
> Resource sign-ups and demo requests where tracking exists.
> Opportunities with documented LinkedIn touchpoints.
> Content production time and review effort.
> Separate directly tracked conversions, self-reported discovery, and possible influence. Do not attribute an entire deal to LinkedIn because one contact engaged with a post.
> Highlight posts that attracted relevant buyers, posts that reached a broad but less relevant audience, and posts with insufficient data to judge.
> Finish with three findings, three limitations, and one recommended experiment. If possible, assess posts at consistent ages so newly published content is not unfairly compared with older posts.
**In Grok Bot:** make the report a dashboard Page that the teammate refreshes each month, not a new file every time, so this month's figures sit next to last month's. Drop the LinkedIn analytics export into the shared folder, the CRM side comes through the plugin from prompt 9. Shared Pages also appear in the Library, so your team reads the same numbers you do. To judge whether a post's reach was normal for its size, compare it with our [LinkedIn impressions calculator](/tools/linkedin/impressions-calculator).
**Why this matters:** Better reporting gives you a reason to repeat or change an approach. It also makes uncertainty visible instead of turning incomplete tracking into a confident revenue claim.
## 12. Turn Feedback Into a Better System
Every edited draft contains information about your standards. Capture the recurring lessons so you spend less time correcting familiar problems.
> Compare the original drafts, my edits, final published versions, and available performance data from [period].
> Identify:
> Voice corrections I have made repeatedly.
> Claims that needed more evidence.
> Ideas that became clearer after a change in framing.
> Formatting changes that improved readability.
> Topics that generated useful buyer conversations.
> Propose updates to the voice guide, research briefs, and editorial checklist. For every proposed rule, show an example, explain its purpose, and note when an exception may be appropriate.
> Keep stylistic preferences separate from performance hypotheses. Do not create a permanent rule from one successful or unsuccessful post.
> Return a short change log for my approval and suggest one controlled experiment for the next month.
**In Grok Bot:** the approved changes go into the "my-voice" skill and `linkedin-context.md`, which every teammate reads, not into one teammate's memory. Ask the Editor to show you the edited skill before it saves it, and to list which teammates use that skill so you know who the change affects, and keep the change log on the shared computer with a date in the file name. Memory is for preferences, for important facts, ask the teammate to check the current source rather than recall it.
**Why this matters:** This is how the workflow becomes easier to manage over time. Your corrections become usable guidance, while performance ideas remain testable rather than hardening into superstition.
## How to Use All 12 Prompts
Build the workflow in stages so you can inspect the output before adding another recurring job.
Week 1: Establish the foundation. Load your business context, run prompt 1, and check the voice guide against writing you would actually publish.
Week 2: Build your research backlog. Run prompts 2-4 using a manageable set of customer conversations, market sources, and supplied LinkedIn examples.
Week 3: Produce the first batch. Use prompts 5-7 to turn approved material into a calendar and a small number of drafts.
Week 4: Strengthen the review process. Run prompt 8, publish the posts you approve, run the first hour on each post you publish, and record the changes you make.
Weeks 5-6: Connect content with conversations. Add prompts 9 and 10 where you have enough sales context and inbound activity to make them useful.
Then repeat monthly: Use prompts 11 and 12 to review results, improve the instructions, and choose the next experiment.
For any recurring job, define its inputs, destination, frequency, and owner. Test a run before relying on the schedule, and have Grok Bot report missing access or incomplete work.
Grok Bot splits recurring work into two parts. A skill says how to do something, a routine assigns that skill to one teammate and says when, on a schedule or, where supported, after an event. Run the skill once by hand before you turn it into a routine. Routines run on the cloud computer in your time zone, even with the app closed:
| Routine | Owner | When |
|---|---|---|
| Prompt 3 X digest | Researcher | Mondays, 8:00 |
| Prompt 6 calendar refresh | LinkedIn Editor | Fridays, after the digest is approved |
| Prompts 11-12 report and change log | LinkedIn Editor | First working day of the month |
Messages a routine wants to send wait for you as drafts, and approvals it raises expire after about 30 minutes, so schedule routines for times you are around. The iOS and Android companion apps show the same teammates and conversations, so you can approve a routine's output from your phone. Publishing stays with you, if you want a nudge when each planned post is due, load the calendar into our [free social media scheduler](/tools/free-tools/free-social-media-scheduler). We remind you, you publish, and it is free.
You do not need 12 separate teammates on day one.
Start with the job that consumes the most time and produces an output you can reliably evaluate.
## The Real Talk
Grok Bot can help you organize research, retrieve useful evidence, prepare drafts, and learn from your edits. The quality still depends on the experience and judgment you bring into the system.
That means having a real opinion, being willing to explain it, and noticing when a polished draft says something you would never defend in a conversation.
Every post this system ships still needs its first hour. Connect the aaas.market server once, and the request becomes one message to your teammate: start free on aaas.market.
Otherwise, load your context and run prompt 1. Improving the inputs will make every step after it more useful.