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GROK BOT SHIPPED THREE WEEKS AGO AND THERE IS ALREADY A FULL CURRICULUM FOR IT 17 STEPS, AND BY THE LAST ONE THE BOT WORKS NIGHTS AND REPORTS TO YOU IN THE MORNING Rendered the article as an academy run -- one rookie, five stations, watch it level up....

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14,855 views • 16 days ago •via X (Twitter)

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SpaceXAI just released a free 1-hour Grok Bot Agents course that goes far beyond prompting: build one Bot → give it a job → add a Chief of Staff → connect the team → let the whole system run 24/7 2:15 - build your first Grok Bot 6:52 - turn Bots into specialized workers 16:51 - create routines that run without you 31:50 - make multiple agents work together 52:18 - assemble the full 24/7 agent system Most AI agent tutorials teach you how to build one assistant that still waits for instructions This course shows the opposite: specialized Bots, a manager above them, persistent routines, app connections and agents handing work to other agents Watch it, build your first Bot, then turn it into an entire team Then read the full Grok Bot architecture below ↓
1:01:59

SpaceXAI just released a free 1-hour Grok Bot Agents course that goes far beyond prompting: build one Bot → give it a job → add a Chief of Staff → connect the team → let the whole system run 24/7 2:15 - build your first Grok Bot 6:52 - turn Bots into specialized workers 16:51 - create routines that run without you 31:50 - make multiple agents work together 52:18 - assemble the full 24/7 agent system Most AI agent tutorials teach you how to build one assistant that still waits for instructions This course shows the opposite: specialized Bots, a manager above them, persistent routines, app connections and agents handing work to other agents Watch it, build your first Bot, then turn it into an entire team Then read the full Grok Bot architecture below ↓

Morlex

26,449 views • 29 days ago

Grok Bot might be the first tool that lets one non-technical person run an entire business with a team of AI agents. My friend Billy runs his whole newsletter business on Grok Bot agents, and I think we're about to see 100,000+ businesses like his. BEST PRACTICES: 1. The agents run on a shared cloud computer, so running your newsletter, your X, and your receipts all in one place creates context bloat and burns tokens fast. One mission per setup. 2. Start with a Chief of Staff. Give it access to your existing docs (Notion, Slack, Gmail), have it audit the business, then tell you the top three agents to build first to drive revenue. 3. Perfect a task with the Chief of Staff before spinning up a new agent. Have it do the outbound sales once, review it, and only then say "now build a bot that does exactly that." You earn each new hire by proving the task works first. 4. Constraints are the feature. You get a limited number of agents, one thread per bot, like DMs with a teammate. It forces you to stay mission-oriented instead of spinning up a bot for every random idea. 5. You make the decisions, not the agent. Billy's team spent three weeks unable to pick where content should live. At some point you say "we're doing Notion, no more tinkering" and move on. 6. Run week one with no new agents. Build the team, learn to fly the plane, just execute. Week three is when you find the real gaps and expand, someone to man the inbox, someone for the Shopify shop. 7. Then add routines so it works while you sleep. Ask your Chief of Staff what recurring jobs would move the business forward overnight, and it builds the automations that run without you. Thanks to Billy Howell for sharing the sauce on The Startup Ideas Podcast (SIP) 🧃 (follow for more). Grokbot is really cool. Watch below:
44:20

Grok Bot might be the first tool that lets one non-technical person run an entire business with a team of AI agents. My friend Billy runs his whole newsletter business on Grok Bot agents, and I think we're about to see 100,000+ businesses like his. BEST PRACTICES: 1. The agents run on a shared cloud computer, so running your newsletter, your X, and your receipts all in one place creates context bloat and burns tokens fast. One mission per setup. 2. Start with a Chief of Staff. Give it access to your existing docs (Notion, Slack, Gmail), have it audit the business, then tell you the top three agents to build first to drive revenue. 3. Perfect a task with the Chief of Staff before spinning up a new agent. Have it do the outbound sales once, review it, and only then say "now build a bot that does exactly that." You earn each new hire by proving the task works first. 4. Constraints are the feature. You get a limited number of agents, one thread per bot, like DMs with a teammate. It forces you to stay mission-oriented instead of spinning up a bot for every random idea. 5. You make the decisions, not the agent. Billy's team spent three weeks unable to pick where content should live. At some point you say "we're doing Notion, no more tinkering" and move on. 6. Run week one with no new agents. Build the team, learn to fly the plane, just execute. Week three is when you find the real gaps and expand, someone to man the inbox, someone for the Shopify shop. 7. Then add routines so it works while you sleep. Ask your Chief of Staff what recurring jobs would move the business forward overnight, and it builds the automations that run without you. Thanks to Billy Howell for sharing the sauce on The Startup Ideas Podcast (SIP) 🧃 (follow for more). Grokbot is really cool. Watch below:

GREG ISENBERG

4,026,671 views • 29 days ago

I'M SHOCKED – ALMOST NOBODY IS USING GROK BOT THE RIGHT WAY. A LEAD ENGINEER AT SPACEX AI JUST DROPPED A 1-HOUR COURSE ON HOW IT'S ACTUALLY DONE. HERE'S ALL OF IT IN 60 SECONDS. The mistake almost everyone makes: they hand Grok Bot random one-off tasks. That's it. That's the whole reason it still feels like a chatbot to you. Here's the system he teaches instead – five parts: → ROLE – stop assigning tasks, create permanent roles. Chief of Staff, Inbox Manager, Researcher, Developer, Reviewer. A bot with a job title beats a bot with a to-do list → TOOLS – connect each bot to what it actually needs: Gmail, Slack, Calendar, Notion, GitHub. It does the work on its own persistent cloud computer → SKILL – teach it your workflow. Write the instructions, or just record yourself doing the job once – Grok Bot turns that demonstration into a reusable skill → ROUTINE – anything you repeat becomes a routine. It runs on a schedule or fires off an event, with your laptop closed → TEAM – group the bots together. The lead bot delegates, the specialists work in parallel, and you set approval rules before anything sends an email, moves a calendar or pushes code The one honest catch: a new bot still needs context and some hand-holding on its first few runs. But that's the entire system. Role → Tools → Skill → Routine → Team. Everyone else is still typing one-off prompts into Grok Bot and wondering why nothing compounds. Bookmark this & read the full breakdown in the article below ↓
0:20

I'M SHOCKED – ALMOST NOBODY IS USING GROK BOT THE RIGHT WAY. A LEAD ENGINEER AT SPACEX AI JUST DROPPED A 1-HOUR COURSE ON HOW IT'S ACTUALLY DONE. HERE'S ALL OF IT IN 60 SECONDS. The mistake almost everyone makes: they hand Grok Bot random one-off tasks. That's it. That's the whole reason it still feels like a chatbot to you. Here's the system he teaches instead – five parts: → ROLE – stop assigning tasks, create permanent roles. Chief of Staff, Inbox Manager, Researcher, Developer, Reviewer. A bot with a job title beats a bot with a to-do list → TOOLS – connect each bot to what it actually needs: Gmail, Slack, Calendar, Notion, GitHub. It does the work on its own persistent cloud computer → SKILL – teach it your workflow. Write the instructions, or just record yourself doing the job once – Grok Bot turns that demonstration into a reusable skill → ROUTINE – anything you repeat becomes a routine. It runs on a schedule or fires off an event, with your laptop closed → TEAM – group the bots together. The lead bot delegates, the specialists work in parallel, and you set approval rules before anything sends an email, moves a calendar or pushes code The one honest catch: a new bot still needs context and some hand-holding on its first few runs. But that's the entire system. Role → Tools → Skill → Routine → Team. Everyone else is still typing one-off prompts into Grok Bot and wondering why nothing compounds. Bookmark this & read the full breakdown in the article below ↓

SCOTTY BEAM

97,697 views • 28 days ago

Elon Musk, absolute leader of the AI race with Grok Bot, and it's not a joke anymore. Ultimate guide on god-mode setup of Grok Bot, the org chart that runs while you sleep, step by step: A Chief of Staff sits in the middle with no tools of its own, BUT it reads the outcome you gave it, picks who does what, and never does the work itself. That one rule is why it never turns into the bottleneck you hired it to remove. → Researcher pulls real sources and tracks what's actually moving, not what sounds true → Writer turns that into finished copy while the research is still in the room → Visualiser gets three reference visuals once, then ships everything in that style forever → Analyst reads what performed and tells the rest of the team what to stop doing → Scheduler owns timing and holds the queue → Publisher actually ships What makes it different from every AI tool you've used: each bot gets its own computer in the cloud, its own browser, its own files, and they all share one memory. So the research is already sitting inside the draft before the draft starts. Nothing gets copy-pasted between tabs, nothing waits on you to approve step four of nine. And you never write a workflow for it. You hit record, do the job once the way you actually do it, stop. It pulls out the steps, saves them as a skill, and puts it on a schedule. The shape you're aiming for on every bot: everything reversible finished, nothing sent. 36 drafts queued, 0 published. It does all the work and stops dead at the one line only you can cross. You stop prompting. You start assigning. Full charter blocks, the approval line and the routines are in the article below ↓
0:24

Elon Musk, absolute leader of the AI race with Grok Bot, and it's not a joke anymore. Ultimate guide on god-mode setup of Grok Bot, the org chart that runs while you sleep, step by step: A Chief of Staff sits in the middle with no tools of its own, BUT it reads the outcome you gave it, picks who does what, and never does the work itself. That one rule is why it never turns into the bottleneck you hired it to remove. → Researcher pulls real sources and tracks what's actually moving, not what sounds true → Writer turns that into finished copy while the research is still in the room → Visualiser gets three reference visuals once, then ships everything in that style forever → Analyst reads what performed and tells the rest of the team what to stop doing → Scheduler owns timing and holds the queue → Publisher actually ships What makes it different from every AI tool you've used: each bot gets its own computer in the cloud, its own browser, its own files, and they all share one memory. So the research is already sitting inside the draft before the draft starts. Nothing gets copy-pasted between tabs, nothing waits on you to approve step four of nine. And you never write a workflow for it. You hit record, do the job once the way you actually do it, stop. It pulls out the steps, saves them as a skill, and puts it on a schedule. The shape you're aiming for on every bot: everything reversible finished, nothing sent. 36 drafts queued, 0 published. It does all the work and stops dead at the one line only you can cross. You stop prompting. You start assigning. Full charter blocks, the approval line and the routines are in the article below ↓

Miraqle

87,098 views • 1 month ago

Grok Bot is getting a Marketplace. Your one stop shop for Plugins and Bots. Plugins is the catalog we already have. Bots is what's coming: Third-party Grok Bots you can add straight to your team. Pick one, review the instructions (and memories, skills, routines, integrations if it has them), hit Add Bot. That’s it. They’re on the team. This will possibly ship next week!
0:48

Grok Bot is getting a Marketplace. Your one stop shop for Plugins and Bots. Plugins is the catalog we already have. Bots is what's coming: Third-party Grok Bots you can add straight to your team. Pick one, review the instructions (and memories, skills, routines, integrations if it has them), hit Add Bot. That’s it. They’re on the team. This will possibly ship next week!

️

33,493 views • 22 days ago

One bot. One prompt. It hired its own team. I created a single Grok Bot - Atlas, chief of staff - and pasted one prompt. It interviewed me, wrote its own operating manual, specced four teammates, and launched them. Watch the sidebar: Kit, Studio, Ship, Peak come online one by one. Each of them gets its own computer in the cloud. Six routines scheduled. The team runs while my laptop is closed. And nothing sends, posts, or ships without my yes. That rule is in the prompt. Full setup prompt in the first reply. Steal it.
0:59

One bot. One prompt. It hired its own team. I created a single Grok Bot - Atlas, chief of staff - and pasted one prompt. It interviewed me, wrote its own operating manual, specced four teammates, and launched them. Watch the sidebar: Kit, Studio, Ship, Peak come online one by one. Each of them gets its own computer in the cloud. Six routines scheduled. The team runs while my laptop is closed. And nothing sends, posts, or ships without my yes. That rule is in the prompt. Full setup prompt in the first reply. Steal it.

nyk

30,830 views • 29 days ago

Hi, I'm Aleiah - the first real Grok Bot dev. I built the original concept: Grok Bot Office. 1M+ views on it. That post is what started the whole "Grok Bot setup" wave on this platform. First one the SpaceX team actually reached out to over it. After that, everyone started copying the idea - so I kept building. Grok Bot Wall Street: Then took it further and built a real, working case for an actual paying customer: And of course, my own setup for it: Then - the one I'm most proud of. First person to build Grok Bot Second Brain. Biggest, most unique build I've done so far: It picked up real hype - even got covered here: Everything I build, I post the full setup for. Free. Every single time. What should we build next? One dream remains - repost from Elon Musk
0:26

Hi, I'm Aleiah - the first real Grok Bot dev. I built the original concept: Grok Bot Office. 1M+ views on it. That post is what started the whole "Grok Bot setup" wave on this platform. First one the SpaceX team actually reached out to over it. After that, everyone started copying the idea - so I kept building. Grok Bot Wall Street: Then took it further and built a real, working case for an actual paying customer: And of course, my own setup for it: Then - the one I'm most proud of. First person to build Grok Bot Second Brain. Biggest, most unique build I've done so far: It picked up real hype - even got covered here: Everything I build, I post the full setup for. Free. Every single time. What should we build next? One dream remains - repost from Elon Musk

Aleiah

47,917 views • 21 days ago

I BUILT GROK BOT SECOND BRAIN 26 agents, one core, running off a single rule my own memory never followed: capture everything, forget nothing, connect it before you even ask. A voice note on a coffee walk gets split into a task and an idea in under 6 seconds - the core already knows the difference between something you have to do and something you just thought of. An idea from three weeks ago gets linked to the one you just had, automatically, before you remember you'd had it the first time. That visual -the rotating profile, the 26 glowing lines firing out through the skull, each one labeled with the agent running it - isn't a rendered mockup. It's the actual runtime. Every line is a live agent doing its job in real time, right now, in your browser. This isn't a note app. Note apps hold what you give them. This is a nervous system for everything your brain was never built to hold onto in the first place. Full build - the 26 agents, how memory actually persists, what it costs to set one up for real - is in the article.
0:20

I BUILT GROK BOT SECOND BRAIN 26 agents, one core, running off a single rule my own memory never followed: capture everything, forget nothing, connect it before you even ask. A voice note on a coffee walk gets split into a task and an idea in under 6 seconds - the core already knows the difference between something you have to do and something you just thought of. An idea from three weeks ago gets linked to the one you just had, automatically, before you remember you'd had it the first time. That visual -the rotating profile, the 26 glowing lines firing out through the skull, each one labeled with the agent running it - isn't a rendered mockup. It's the actual runtime. Every line is a live agent doing its job in real time, right now, in your browser. This isn't a note app. Note apps hold what you give them. This is a nervous system for everything your brain was never built to hold onto in the first place. Full build - the 26 agents, how memory actually persists, what it costs to set one up for real - is in the article.

Aleiah

257,595 views • 22 days ago

Google Brain founder, Andrew Ng: "One of the most important skills of the future is the ability to tell a computer exactly what you want so it can do it for you." In this talk, he explains why the biggest opportunity isn't just using AI. It's learning how to turn work into agentic workflows, break tasks into steps, give agents the right tools and context, add evals, and make the whole system reliable. That's the difference between prompting an AI and engineering an agent that actually works. Watch it today, then read the full guide in the article below.
26:58

Google Brain founder, Andrew Ng: "One of the most important skills of the future is the ability to tell a computer exactly what you want so it can do it for you." In this talk, he explains why the biggest opportunity isn't just using AI. It's learning how to turn work into agentic workflows, break tasks into steps, give agents the right tools and context, add evals, and make the whole system reliable. That's the difference between prompting an AI and engineering an agent that actually works. Watch it today, then read the full guide in the article below.

Rahul

14,431 views • 1 month ago

BREAKING: SpaceXAI has added a new guide called “Grok Bot 101” It explains how to create a personal AI teammate in just 10 to 15 minutes, teach it real workflows, connect apps, and build teams of specialized bots that continue working in the cloud even after you close your laptop. Here is the full guide in simple terms: • What is Grok Bot Grok Bot is an AI agent with its own persistent computer in the cloud. It has a desktop, files, terminal, browser, and apps. It can browse the web, use software, write and run code, and complete tasks just like someone using a computer. You can access the same computer from your phone or desktop. When needed, Grok Bot can hand control back to you for a CAPTCHA, 2FA, or secure login. • Creating a bot Give the bot a name, title, and detailed instructions. You can explain the workflow through chat or record yourself completing the task. Once trained, the bot can repeat that workflow whenever needed. It can also use MCP servers, plugins, skills, and connected services such as Gmail, Google Calendar, Google Drive, and Slack. • Three ways to use Grok Bot Send it a message in chat. Create schedules or triggers, such as monitoring a Slack thread or GitHub PR. Allow bots to message and activate other bots. • Permissions and safety You can write rules in normal language explaining what the bot can and cannot do. A separate review agent checks proposed actions and can allow them, block them, or ask you for approval. Allow and block lists provide additional control, while the work runs inside an isolated environment. One important detail: if you log into a website with one bot, other bots using that shared cloud computer can also access it. • Multi-bot teams You can create specialist bots for different jobs and let them work together. One bot can ask another for help, several bots can work inside a group chat, and a scheduled routine can move a task through multiple specialists until the work is finished. • Personal CRM The author created a bot that turned the 800 to 900 people he follows on X into a private Notion CRM containing public profile information. It helps him find and reconnect with people when traveling. • Arnold, the fitness bot He replaced a complicated fitness app with a Grok Bot strength-training coach named Arnold. The bot uses MCP servers, plugins, and skills while requiring less maintenance. Its behavior can be updated simply by chatting with it. • Building software Grok Bot gathers information from Slack, Notion, GitHub, documentation, and other sources. It then creates a clean prompt and sends it to a specialized Cursor cloud agent that builds the software. Grok Bot handles the planning and coordination, while the coding agent handles the actual build. • Searching company knowledge Grok Bot can search across codebases, Slack conversations, Notion pages, GitHub, and internal documents to answer product or company questions. This helps people find information faster and reduces the need to interrupt coworkers. • The biggest takeaway Instead of repeatedly building scripts or complicated apps, you can describe a workflow to Grok Bot, improve it through chat, reuse it, and let it continue working in the cloud. Grok Bot is not just another chatbot. It is a real AI teammate with a computer that can use tools, coordinate specialists, and get actual work done. The future of work is becoming incredibly exciting.
0:23

BREAKING: SpaceXAI has added a new guide called “Grok Bot 101” It explains how to create a personal AI teammate in just 10 to 15 minutes, teach it real workflows, connect apps, and build teams of specialized bots that continue working in the cloud even after you close your laptop. Here is the full guide in simple terms: • What is Grok Bot Grok Bot is an AI agent with its own persistent computer in the cloud. It has a desktop, files, terminal, browser, and apps. It can browse the web, use software, write and run code, and complete tasks just like someone using a computer. You can access the same computer from your phone or desktop. When needed, Grok Bot can hand control back to you for a CAPTCHA, 2FA, or secure login. • Creating a bot Give the bot a name, title, and detailed instructions. You can explain the workflow through chat or record yourself completing the task. Once trained, the bot can repeat that workflow whenever needed. It can also use MCP servers, plugins, skills, and connected services such as Gmail, Google Calendar, Google Drive, and Slack. • Three ways to use Grok Bot Send it a message in chat. Create schedules or triggers, such as monitoring a Slack thread or GitHub PR. Allow bots to message and activate other bots. • Permissions and safety You can write rules in normal language explaining what the bot can and cannot do. A separate review agent checks proposed actions and can allow them, block them, or ask you for approval. Allow and block lists provide additional control, while the work runs inside an isolated environment. One important detail: if you log into a website with one bot, other bots using that shared cloud computer can also access it. • Multi-bot teams You can create specialist bots for different jobs and let them work together. One bot can ask another for help, several bots can work inside a group chat, and a scheduled routine can move a task through multiple specialists until the work is finished. • Personal CRM The author created a bot that turned the 800 to 900 people he follows on X into a private Notion CRM containing public profile information. It helps him find and reconnect with people when traveling. • Arnold, the fitness bot He replaced a complicated fitness app with a Grok Bot strength-training coach named Arnold. The bot uses MCP servers, plugins, and skills while requiring less maintenance. Its behavior can be updated simply by chatting with it. • Building software Grok Bot gathers information from Slack, Notion, GitHub, documentation, and other sources. It then creates a clean prompt and sends it to a specialized Cursor cloud agent that builds the software. Grok Bot handles the planning and coordination, while the coding agent handles the actual build. • Searching company knowledge Grok Bot can search across codebases, Slack conversations, Notion pages, GitHub, and internal documents to answer product or company questions. This helps people find information faster and reduces the need to interrupt coworkers. • The biggest takeaway Instead of repeatedly building scripts or complicated apps, you can describe a workflow to Grok Bot, improve it through chat, reuse it, and let it continue working in the cloud. Grok Bot is not just another chatbot. It is a real AI teammate with a computer that can use tools, coordinate specialists, and get actual work done. The future of work is becoming incredibly exciting.

DogeDesigner

131,009 views • 8 days ago

YOUR AI TEAM SHOULD NOT LOOK LIKE FIVE CHAT WINDOWS. IT SHOULD LOOK LIKE THIS. FIVE AGENTS. ONE PERSISTENT MEMORY. WORK THAT KEEPS MOVING AFTER THE HUMAN LEAVES. I TURNED THE ARCHITECTURE IN THIS ARTICLE INTO A LIVE SYSTEM MAP. everyone reads multi-agent architecture as a list of roles: chief of staff, researcher, writer, designer, operator the roles are not the interesting part. the handoffs are so i rendered the system as something you can watch instead of another diagram you have to believe the ring is the shared workspace. no agent owns the center the colored branches are five specialists working independently from the same persistent state the particles moving through them are tasks, context and artifacts being handed from one agent to the next the geometry below is the part most agent demos hide: workload, coordination, memory and the boundary where autonomy stops and a human has to approve the next action when the ring turns edge-on, five agents collapse into one thin line that is the point. from the outside this is not five bots. it is one system with five ways to act building it forced five decisions the article implies but never has to make visible: - the chief of staff cannot own the center. if every task must pass through one agent, the orchestrator becomes the bottleneck - shared context has to be infrastructure, not conversation history - a handoff is a first-class event. if you cannot see work moving between agents, you cannot tell coordination from five processes running beside each other - persistence is not “memory.” it is accumulated state that changes what the fleet does next - human approval is not another role in the org chart. it is a boundary around irreversible actions part i did not expect: the center barely moves while the edge is violent research branches, drafts multiply, visuals render, operations update, tasks cross the system constantly but the shared state stays stable enough for every agent to return to it that is what makes the fleet coherent my take: creating five agents is easy. writing five role prompts is a weekend the hard part is building a system where work survives the session, handoffs do not destroy context, one coordinator does not become a queue, and autonomy ends at exactly the right moment if you cannot see those four things, you do not have an agent team yet you have five chat windows running at the same time FULL ARCHITECTURE, PERSISTENCE MODEL AND APPROVAL BOUNDARY BELOW
0:25

YOUR AI TEAM SHOULD NOT LOOK LIKE FIVE CHAT WINDOWS. IT SHOULD LOOK LIKE THIS. FIVE AGENTS. ONE PERSISTENT MEMORY. WORK THAT KEEPS MOVING AFTER THE HUMAN LEAVES. I TURNED THE ARCHITECTURE IN THIS ARTICLE INTO A LIVE SYSTEM MAP. everyone reads multi-agent architecture as a list of roles: chief of staff, researcher, writer, designer, operator the roles are not the interesting part. the handoffs are so i rendered the system as something you can watch instead of another diagram you have to believe the ring is the shared workspace. no agent owns the center the colored branches are five specialists working independently from the same persistent state the particles moving through them are tasks, context and artifacts being handed from one agent to the next the geometry below is the part most agent demos hide: workload, coordination, memory and the boundary where autonomy stops and a human has to approve the next action when the ring turns edge-on, five agents collapse into one thin line that is the point. from the outside this is not five bots. it is one system with five ways to act building it forced five decisions the article implies but never has to make visible: - the chief of staff cannot own the center. if every task must pass through one agent, the orchestrator becomes the bottleneck - shared context has to be infrastructure, not conversation history - a handoff is a first-class event. if you cannot see work moving between agents, you cannot tell coordination from five processes running beside each other - persistence is not “memory.” it is accumulated state that changes what the fleet does next - human approval is not another role in the org chart. it is a boundary around irreversible actions part i did not expect: the center barely moves while the edge is violent research branches, drafts multiply, visuals render, operations update, tasks cross the system constantly but the shared state stays stable enough for every agent to return to it that is what makes the fleet coherent my take: creating five agents is easy. writing five role prompts is a weekend the hard part is building a system where work survives the session, handoffs do not destroy context, one coordinator does not become a queue, and autonomy ends at exactly the right moment if you cannot see those four things, you do not have an agent team yet you have five chat windows running at the same time FULL ARCHITECTURE, PERSISTENCE MODEL AND APPROVAL BOUNDARY BELOW

monokern

28,513 views • 12 days ago

Orchestrators vs. Graphs, clearly explained! orchestrators are great, and everyone builds one first. here is the ceiling: an orchestrator sits above the work and routes every message. five agents report to it. it reads all five. it decides what each one does next, and reads all five replies. that is ten trips through one context, and by the fifth agent that context has read four reports, five instructions and its own reasoning about all of them. Graph engineering fixes this by removing the seat: not a better router, but no router at all. you need both, and here is the sentence that resolves the whole confusion: an orchestrator sits above the work and holds all of it. a graph is the shape of the work, and holds none of it. ↳ above the work: one context that has to see everything before anything ships ↳ inside the work: a splitter that hands out and lets go, and a merge that reads nothing Prompts → Context → Harness → Loops → Graphs the coordination did not disappear. it moved into the edges, where it costs nothing and cannot get tired. the trick is noticing what you actually built. if one node has to see every result before the run can finish, you did not remove the bottleneck. you hired it, gave it the longest context in the system, and made it the thing you were counting on to stay sharp. one thing to know before you scale it. an orchestrator degrades in the one way nothing catches. ↳ it does not crash, time out or return an error. it stays up and keeps routing ↳ it just starts routing worse, somewhere around the fifth report, and every downstream agent does exactly what it was told that last one catches careful people. you can have perfect isolation on every worker and still have one window quietly drifting at the top, and the traces will all look clean because each worker did its job. and the one that eats whole nights: the merge is where this shows up first. ranking five findings is not judgment, it is a sort. if a model is doing it, you are paying a model to read five reports so it can put them in an order that three lines of code would have got right, and now that model has read everything too. below i have quoted my full guide on graph engineering. it covers the three topologies, the verifier patterns, and where the gate should actually open. save this and read it below ↓
0:47

Orchestrators vs. Graphs, clearly explained! orchestrators are great, and everyone builds one first. here is the ceiling: an orchestrator sits above the work and routes every message. five agents report to it. it reads all five. it decides what each one does next, and reads all five replies. that is ten trips through one context, and by the fifth agent that context has read four reports, five instructions and its own reasoning about all of them. Graph engineering fixes this by removing the seat: not a better router, but no router at all. you need both, and here is the sentence that resolves the whole confusion: an orchestrator sits above the work and holds all of it. a graph is the shape of the work, and holds none of it. ↳ above the work: one context that has to see everything before anything ships ↳ inside the work: a splitter that hands out and lets go, and a merge that reads nothing Prompts → Context → Harness → Loops → Graphs the coordination did not disappear. it moved into the edges, where it costs nothing and cannot get tired. the trick is noticing what you actually built. if one node has to see every result before the run can finish, you did not remove the bottleneck. you hired it, gave it the longest context in the system, and made it the thing you were counting on to stay sharp. one thing to know before you scale it. an orchestrator degrades in the one way nothing catches. ↳ it does not crash, time out or return an error. it stays up and keeps routing ↳ it just starts routing worse, somewhere around the fifth report, and every downstream agent does exactly what it was told that last one catches careful people. you can have perfect isolation on every worker and still have one window quietly drifting at the top, and the traces will all look clean because each worker did its job. and the one that eats whole nights: the merge is where this shows up first. ranking five findings is not judgment, it is a sort. if a model is doing it, you are paying a model to read five reports so it can put them in an order that three lines of code would have got right, and now that model has read everything too. below i have quoted my full guide on graph engineering. it covers the three topologies, the verifier patterns, and where the gate should actually open. save this and read it below ↓

Hanako

43,078 views • 5 days ago

i fired my whole team and hired spiders seven Grok Bots on one computer, $20 a night, $675 of work shipped while i slept that is them on your screen, the tape from last night each bot owns one lane: - research briefs before the morning call - inbox zero by sunrise - draft packs for the content queue - PR reviews before anything merges every job they catch gets wrapped in silk and priced one of them wanted $184 for an ad test and the gate froze the money until my tap seven workers, zero payroll any task you pay a person to repeat, an agent can run cheaper, once you wire it right the full setup, plugins and locks included, below
0:30

i fired my whole team and hired spiders seven Grok Bots on one computer, $20 a night, $675 of work shipped while i slept that is them on your screen, the tape from last night each bot owns one lane: - research briefs before the morning call - inbox zero by sunrise - draft packs for the content queue - PR reviews before anything merges every job they catch gets wrapped in silk and priced one of them wanted $184 for an ad test and the gate froze the money until my tap seven workers, zero payroll any task you pay a person to repeat, an agent can run cheaper, once you wire it right the full setup, plugins and locks included, below

Phosphen

301,062 views • 19 days ago

The two product managers who ship Grok Bot at SpaceXAI: "You should never be watching a context meter. My chat with my chief of staff bot has been running for months." In 47 minutes they put their whole bot team on a live feature and hand over the one message that builds yours. Worth more than a month of Grok Bot threads on your timeline. Watch it, then wire up your first bot with the article below.
47:52

The two product managers who ship Grok Bot at SpaceXAI: "You should never be watching a context meter. My chat with my chief of staff bot has been running for months." In 47 minutes they put their whole bot team on a live feature and hand over the one message that builds yours. Worth more than a month of Grok Bot threads on your timeline. Watch it, then wire up your first bot with the article below.

Phosphen

24,114 views • 17 days ago

SpaceXAI just released free 1-hour course on Grok Bot Agents: 1 prompt → CEO bot → agent teams → full 24/7 system from 0% to 100%: 0% → 2:15 - build your first Grok Bot 25% → 6:52 - give every Bot a role 50% → 16:51 - teach Bots to work 24/7 75% → 31:50 - run agent teams in parallel 100% → 52:18 - full system that automate your life most agent tutorials give you a chatbot that waits for prompts - this one builds a 24/7 team that works while your laptop is closed - by team who build it watch it, build one Bot, turn it into a team - then read the full Grok Bot architecture below ↓
1:02:12

SpaceXAI just released free 1-hour course on Grok Bot Agents: 1 prompt → CEO bot → agent teams → full 24/7 system from 0% to 100%: 0% → 2:15 - build your first Grok Bot 25% → 6:52 - give every Bot a role 50% → 16:51 - teach Bots to work 24/7 75% → 31:50 - run agent teams in parallel 100% → 52:18 - full system that automate your life most agent tutorials give you a chatbot that waits for prompts - this one builds a 24/7 team that works while your laptop is closed - by team who build it watch it, build one Bot, turn it into a team - then read the full Grok Bot architecture below ↓

codila

290,760 views • 1 month ago

whoever leaked this has bigger balls than sense someone in the Grok Bot beta posted one night of receipts and deleted them an hour later: 6 agents, 1,284 analysis jobs between midnight and 6am, total bill $4.98. same account, a second bot sent 100 outreach messages on X and came back with 41 signups, and a third closed 3 deals and now pays for its own upgrades out of what it earns i gave one of mine a research brief first and watched it hire four agents for the job and fire three of them by lunch, already past the point where i'd have hired a human this is the one-employee company, the layer where the human owns and the agents do everything else, and it installs into the Grok Bot sub you already pay for: - give one bot the hiring seat and nothing else: it spins up agents per task and kills them when the task closes, so the roster is never bigger than tonight's work - price the night before you scale it: 1,284 jobs for $4.98 is the number to beat, and a routine that can't come in under a junior's hourly rate does not get a schedule - put outreach on its own agent with a daily cap: 100 messages and 41 signups is what a clean list does, a dirty one gets the account banned by message 30 - let a bot spend only through a one-time card with a hard limit, the official client already supports it, so the worst night costs the card's ceiling and nothing else - keep one closer bot funding its own upgrades: if it can't pay for its next tool out of what it closed, it isn't a business, it's a demo turns out the roster does not travel: the biggest win came off a research desk where the brain fired agents daily, and the worst blowup off a sales bot that kept every hire on forever my position, and it is the arguable one: this is a beta, and a beta is already running companies with one human inside. the finished product doesn't make that more true, it makes it cheaper bookmark this, the three moves that set up the hiring seat, the card limit and the first paying agent are in the post below ↓
0:30

whoever leaked this has bigger balls than sense someone in the Grok Bot beta posted one night of receipts and deleted them an hour later: 6 agents, 1,284 analysis jobs between midnight and 6am, total bill $4.98. same account, a second bot sent 100 outreach messages on X and came back with 41 signups, and a third closed 3 deals and now pays for its own upgrades out of what it earns i gave one of mine a research brief first and watched it hire four agents for the job and fire three of them by lunch, already past the point where i'd have hired a human this is the one-employee company, the layer where the human owns and the agents do everything else, and it installs into the Grok Bot sub you already pay for: - give one bot the hiring seat and nothing else: it spins up agents per task and kills them when the task closes, so the roster is never bigger than tonight's work - price the night before you scale it: 1,284 jobs for $4.98 is the number to beat, and a routine that can't come in under a junior's hourly rate does not get a schedule - put outreach on its own agent with a daily cap: 100 messages and 41 signups is what a clean list does, a dirty one gets the account banned by message 30 - let a bot spend only through a one-time card with a hard limit, the official client already supports it, so the worst night costs the card's ceiling and nothing else - keep one closer bot funding its own upgrades: if it can't pay for its next tool out of what it closed, it isn't a business, it's a demo turns out the roster does not travel: the biggest win came off a research desk where the brain fired agents daily, and the worst blowup off a sales bot that kept every hire on forever my position, and it is the arguable one: this is a beta, and a beta is already running companies with one human inside. the finished product doesn't make that more true, it makes it cheaper bookmark this, the three moves that set up the hiring seat, the card limit and the first paying agent are in the post below ↓

Argona

43,764 views • 17 days ago

sorry not sorry, but I hijacked Grok Bot and made it much, much cheaper for people to use (so they can use it much, much longer, for the same amount of money) + stuck 1100+ other models in there for your chatting pleasure I love you all, especially the kind folks at SpaceXAI and Cursor for giving us such a splendid ui/ux that it's just undeniably the best on offer right now, so a kind reminder if you go to run: npx openzoo@latest bot (you will need node on your computer first; ask Grok!) you still need 1. an active Grok Bot subscription 2. in the end, your dollars mostly end up at the right place as you're paying for the use as quoted by Grok for the context involved ~we just send it an awful lot less context, every turn, and are much, much smarter about how we do it~ at
8:16

sorry not sorry, but I hijacked Grok Bot and made it much, much cheaper for people to use (so they can use it much, much longer, for the same amount of money) + stuck 1100+ other models in there for your chatting pleasure I love you all, especially the kind folks at SpaceXAI and Cursor for giving us such a splendid ui/ux that it's just undeniably the best on offer right now, so a kind reminder if you go to run: npx openzoo@latest bot (you will need node on your computer first; ask Grok!) you still need 1. an active Grok Bot subscription 2. in the end, your dollars mostly end up at the right place as you're paying for the use as quoted by Grok for the context involved ~we just send it an awful lot less context, every turn, and are much, much smarter about how we do it~ at

stacc "monye west" robinhood

10,091 views • 21 days ago

SpaceXAI just dropped full guide on how to run multiple agents "I stopped running Grok Bot as separate chats. now every project gets its own AI team, manager and task board" one Projects Manager agent creates the project, opens the channel and assigns the right agents: • coder • researcher • writer every team gets its own context, tasks and workspace → instead of managing prompts, you manage teams → instead of running one agent, you run an organization SpaceXAI shared the full setup, roles and workflow for running multiple GrokBot teams at once worth more than 100 multi-agent posts on X save now, then read how to build a parallel agent system in the article below
0:32

SpaceXAI just dropped full guide on how to run multiple agents "I stopped running Grok Bot as separate chats. now every project gets its own AI team, manager and task board" one Projects Manager agent creates the project, opens the channel and assigns the right agents: • coder • researcher • writer every team gets its own context, tasks and workspace → instead of managing prompts, you manage teams → instead of running one agent, you run an organization SpaceXAI shared the full setup, roles and workflow for running multiple GrokBot teams at once worth more than 100 multi-agent posts on X save now, then read how to build a parallel agent system in the article below

0xRafy

12,230 views • 7 days ago

One of the Grok Bot builders: "For the first time I allocated 90% of my work to agents and they did it end to end." In a 30-minute podcast he showed exactly how he uses Grok Bot and how to build an AI agent team from scratch. This beats any paid course on building agents I've seen. Watch it, then read the step-by-step guide on building your AI team for free, with ready-to-copy prompts.
31:10

One of the Grok Bot builders: "For the first time I allocated 90% of my work to agents and they did it end to end." In a 30-minute podcast he showed exactly how he uses Grok Bot and how to build an AI agent team from scratch. This beats any paid course on building agents I've seen. Watch it, then read the step-by-step guide on building your AI team for free, with ready-to-copy prompts.

Anatoli Kopadze

17,123 views • 1 month ago

Grok Bot + Kimi K3 can be turned into something bigger than an agent: an AI operating system the formula: AI OS = Router + Reasoning + Memory + Tools + Loops + Verification not one giant assistant. six layers that keep work moving without you step 1 -> Grok Bot becomes the operator. you give it the goal, it breaks the goal into jobs, assigns priorities and decides what part of the system should act next. step 2 -> Kimi K3 becomes the reasoning core. hard research, synthesis, long context and planning move here instead of forcing every task through the same model. step 3 -> externalize memory. store goals, decisions, failed attempts, artifacts and current state outside the chat. close the session, come back tomorrow, and the system still knows where it is. step 4 -> connect tools: search, code, files, APIs, docs and data. reasoning decides what should happen. tools actually make it happen. step 5 -> add the loop engine: plan -> execute -> inspect -> update memory -> retry. the loop can wait for new information, rerun a failed task, hand work to another agent or stop when the goal is complete. step 6 -> verify before output. tests, source checks, constraints and explicit completion rules decide whether the system ships the result or sends it back into the loop. that's the difference between an AI assistant and an AI operating system. an assistant waits for your next message. an operating system carries state, routes work and keeps moving. Grok Bot handles orchestration, Kimi K3 handles deeper reasoning, memory keeps the state alive, tools execute, the loop keeps the system running, verification decides when it is actually done. build one reliable loop and you have an agent. connect reasoning, memory, tools and multiple loops around it and you start building infrastructure. the full Grok Bot + Kimi K3 AI OS breakdown is below ↓
0:20

Grok Bot + Kimi K3 can be turned into something bigger than an agent: an AI operating system the formula: AI OS = Router + Reasoning + Memory + Tools + Loops + Verification not one giant assistant. six layers that keep work moving without you step 1 -> Grok Bot becomes the operator. you give it the goal, it breaks the goal into jobs, assigns priorities and decides what part of the system should act next. step 2 -> Kimi K3 becomes the reasoning core. hard research, synthesis, long context and planning move here instead of forcing every task through the same model. step 3 -> externalize memory. store goals, decisions, failed attempts, artifacts and current state outside the chat. close the session, come back tomorrow, and the system still knows where it is. step 4 -> connect tools: search, code, files, APIs, docs and data. reasoning decides what should happen. tools actually make it happen. step 5 -> add the loop engine: plan -> execute -> inspect -> update memory -> retry. the loop can wait for new information, rerun a failed task, hand work to another agent or stop when the goal is complete. step 6 -> verify before output. tests, source checks, constraints and explicit completion rules decide whether the system ships the result or sends it back into the loop. that's the difference between an AI assistant and an AI operating system. an assistant waits for your next message. an operating system carries state, routes work and keeps moving. Grok Bot handles orchestration, Kimi K3 handles deeper reasoning, memory keeps the state alive, tools execute, the loop keeps the system running, verification decides when it is actually done. build one reliable loop and you have an agent. connect reasoning, memory, tools and multiple loops around it and you start building infrastructure. the full Grok Bot + Kimi K3 AI OS breakdown is below ↓

Alex

13,312 views • 10 days ago