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GUYS, STOP F*CKING SLEEPING ON GROK BOT I BUILT A FULL ZERO-SALARY AI ENGINEERING TEAM INSIDE A GROK BOT OVERNIGHT Architect ➜ Harness ➜ Memory ➜ Critic ➜ Implementer ➜ Deployer ➜ Chief of Staff Chief owns the final yes Everything irreversible lands in my approval tray first >...

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16,914 Aufrufe • vor 25 Tagen •via X (Twitter)

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this is the most dangerous thing on the internet today.. I built a second brain inside Grok Bot. 1000+ agents. Each one keeps its own permanent memory and works without me in the loop. Chief sits in the center of the graph, issues every task and owns every handoff. I only talk to him. Nothing ships until he routes it and I hit yes Chief ➜ routes the work Signal ➜ reads the live feed Orbit ➜ owns timing Vault ➜ holds receipts and lifelong context Drift ➜ runs outreach Lens ➜ watches numbers and heat Helm ➜ picks the next move Forge ➜ builds Crew ➜ executes I do not manage 1000+ bots. I manage one Chief. The rest keep their state, keep pushing and never drop context 1 human ➜ 1 chief ➜ 1000 specialists the floor never stops don't sleep on this ⭣
0:42

this is the most dangerous thing on the internet today.. I built a second brain inside Grok Bot. 1000+ agents. Each one keeps its own permanent memory and works without me in the loop. Chief sits in the center of the graph, issues every task and owns every handoff. I only talk to him. Nothing ships until he routes it and I hit yes Chief ➜ routes the work Signal ➜ reads the live feed Orbit ➜ owns timing Vault ➜ holds receipts and lifelong context Drift ➜ runs outreach Lens ➜ watches numbers and heat Helm ➜ picks the next move Forge ➜ builds Crew ➜ executes I do not manage 1000+ bots. I manage one Chief. The rest keep their state, keep pushing and never drop context 1 human ➜ 1 chief ➜ 1000 specialists the floor never stops don't sleep on this ⭣

beamnxw ./

12,397 Aufrufe • vor 22 Tagen

SpaceXAI engineer (poteto): "The real mistake people make with GrokBot right now - building teams without trusting one bot’s output. So I built Chief of Staff bot that manages/reviews the other 10-20 agents " In 1-hour workshop SpaceXAI engineer explained the rules for initially setting up a 24/7 Grok Bot team, also the entire foundation of agent engineering and how she got started in coding Everyone who builds agents or plans to should watch this - replaces $500 courses Watch this and build first Grok Bot agent - then read the article below to set up the entire Grok Bot architecture ↓
54:16

SpaceXAI engineer (poteto): "The real mistake people make with GrokBot right now - building teams without trusting one bot’s output. So I built Chief of Staff bot that manages/reviews the other 10-20 agents " In 1-hour workshop SpaceXAI engineer explained the rules for initially setting up a 24/7 Grok Bot team, also the entire foundation of agent engineering and how she got started in coding Everyone who builds agents or plans to should watch this - replaces $500 courses Watch this and build first Grok Bot agent - then read the article below to set up the entire Grok Bot architecture ↓

codila

62,285 Aufrufe • vor 19 Tagen

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 Aufrufe • vor 27 Tagen

i love Grok Grok Bot i do not love my sidebar with 28 random agents here is a simple way to organize your grok bot team: don't grab a template and a cute icon use an org system one chief of staff as the main interface. pin it to the top then project leads, not task bots. they share specialist bots across projects pin the active leaders. hide the specialists use the default colors, don't make your own. it kills the animation and is less functional chief is the only purple bot, and the only cloud shape leads are triangles, each a unique color specialists are all green squares two channels: All Hands every weekday before i'm awake. chief runs this with active project leads. it coordinates projects, resources, and my calendar. then one channel per active project, let your lead bot invite the specialists it needs that's it link to my bot templates below, including one to help you organize your Grok Bots into this exact system and one to clean and back up your workspace
6:25

i love Grok Grok Bot i do not love my sidebar with 28 random agents here is a simple way to organize your grok bot team: don't grab a template and a cute icon use an org system one chief of staff as the main interface. pin it to the top then project leads, not task bots. they share specialist bots across projects pin the active leaders. hide the specialists use the default colors, don't make your own. it kills the animation and is less functional chief is the only purple bot, and the only cloud shape leads are triangles, each a unique color specialists are all green squares two channels: All Hands every weekday before i'm awake. chief runs this with active project leads. it coordinates projects, resources, and my calendar. then one channel per active project, let your lead bot invite the specialists it needs that's it link to my bot templates below, including one to help you organize your Grok Bots into this exact system and one to clean and back up your workspace

Aaron Makelky

15,697 Aufrufe • vor 17 Tagen

i honestly don't f*cking understand why no one has done this yet a second brain inside grok bot 1000+ agents with their own memory one CHIEF that issues the work steal the floor plan: CHIEF → signal deck | inbox, threads, archive → orbit deck | calendar, holds, reminders → vault deck | invoices, receipts, ledger → lens deck | scrape, enrich, dedupe → forge deck | reports, charts, briefs → drift deck | outreach, follow ups, send queue CHIEF assigns. decks execute. i approve 1 login. 1 profile copy this and stop running your company from a chat box save this, then start building ⭣
0:33

i honestly don't f*cking understand why no one has done this yet a second brain inside grok bot 1000+ agents with their own memory one CHIEF that issues the work steal the floor plan: CHIEF → signal deck | inbox, threads, archive → orbit deck | calendar, holds, reminders → vault deck | invoices, receipts, ledger → lens deck | scrape, enrich, dedupe → forge deck | reports, charts, briefs → drift deck | outreach, follow ups, send queue CHIEF assigns. decks execute. i approve 1 login. 1 profile copy this and stop running your company from a chat box save this, then start building ⭣

beamnxw ./

14,320 Aufrufe • vor 18 Tagen

Grok Bot just killed every overhyped AI setup on your timeline Stop building 40 single-purpose agents that burn your time. Here is the exact system architecture to run a multi-million dollar operation using a managed Grok Bot hosted on a cloud VPS (powered by Cursor and SpaceX infrastructure): The Chief of Staff Architecture: Deploy one central "Chief of Staff" agent authenticated to your email and drive. Route execution down to specialized sub-agents (Dev, Support, YouTube) only when needed. Zero-Code Skill Training: Click record, complete a task on your screen, like triaging emails or reviewing analytics - and GrokBot auto-generates a permanent execution skill from the recording. Unrestricted Cloud Execution: The agent runs 24/7 inside its own Linux container for $200/month, executing tasks asynchronously using MCP servers and Composio to query live data from ChartMogul, Help Scout, and Sentry. Anti-Lock-In Memory Dump: Avoid getting trapped on a single platform. Force your Grok Bot to write daily logs and append context summaries directly to external Google Drive or Notion docs. One single Grok Bot harness with structured sub-agents crushes an army of disconnected, unorganized bots every single time.
11:28

Grok Bot just killed every overhyped AI setup on your timeline Stop building 40 single-purpose agents that burn your time. Here is the exact system architecture to run a multi-million dollar operation using a managed Grok Bot hosted on a cloud VPS (powered by Cursor and SpaceX infrastructure): The Chief of Staff Architecture: Deploy one central "Chief of Staff" agent authenticated to your email and drive. Route execution down to specialized sub-agents (Dev, Support, YouTube) only when needed. Zero-Code Skill Training: Click record, complete a task on your screen, like triaging emails or reviewing analytics - and GrokBot auto-generates a permanent execution skill from the recording. Unrestricted Cloud Execution: The agent runs 24/7 inside its own Linux container for $200/month, executing tasks asynchronously using MCP servers and Composio to query live data from ChartMogul, Help Scout, and Sentry. Anti-Lock-In Memory Dump: Avoid getting trapped on a single platform. Force your Grok Bot to write daily logs and append context summaries directly to external Google Drive or Notion docs. One single Grok Bot harness with structured sub-agents crushes an army of disconnected, unorganized bots every single time.

Shadow Nick

19,734 Aufrufe • vor 28 Tagen

SpaceXAI engineer, ex-Cursor: "I run my whole company on a 12-bot Grok team, $300 a month, zero employees they work a 168-hour week, I work maybe 6 and we still outship the 8-person team I used to pay for" in a 1-hour workshop, a SpaceXAI engineer builds a full Grok Bot team from scratch, skills and loops included worth more than a $500 course on agentic engineering watch today, then read how to run your own one-person company on Grok Bots in the article below
1:04:44

SpaceXAI engineer, ex-Cursor: "I run my whole company on a 12-bot Grok team, $300 a month, zero employees they work a 168-hour week, I work maybe 6 and we still outship the 8-person team I used to pay for" in a 1-hour workshop, a SpaceXAI engineer builds a full Grok Bot team from scratch, skills and loops included worth more than a $500 course on agentic engineering watch today, then read how to run your own one-person company on Grok Bots in the article below

KingWilliam

295,920 Aufrufe • vor 10 Tagen

HOLY SH*T, I BUILT A F**KING COMPANY INSIDE GROK BOT i split the operation into separate roles for research, writing, outreach, ops, finance and support. each agent owns one narrow job 6 agents → 1 shared operation → automatic handoffs → human approval each bot keeps its own workflow and memory, then passes finished work forward instead of routing everything back through me the control layer catches anything that sends, spends, publishes or deletes and pushes it into approval before anything happens after a few runs this stops feeling like ai chat. it feels like a 24/7 operations team running behind one dashboard
0:34

HOLY SH*T, I BUILT A F**KING COMPANY INSIDE GROK BOT i split the operation into separate roles for research, writing, outreach, ops, finance and support. each agent owns one narrow job 6 agents → 1 shared operation → automatic handoffs → human approval each bot keeps its own workflow and memory, then passes finished work forward instead of routing everything back through me the control layer catches anything that sends, spends, publishes or deletes and pushes it into approval before anything happens after a few runs this stops feeling like ai chat. it feels like a 24/7 operations team running behind one dashboard

Gipp 🦅

1,385,464 Aufrufe • vor 26 Tagen

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 Aufrufe • vor 29 Tagen

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 Aufrufe • vor 26 Tagen

Grok Bot Galaxy starts tomorrow with three days of SpaceX AI building an entire company live, and a seven-agent content system with researcher, writer, visualiser, analyst, scheduler and publisher is already finished and running with zero code and ten minutes to stand up. → Chief of staff routes every task, nothing publishes without human approval → Seven agents, one narrow job each, fixed handoff order → Content is six jobs when done manually, this collapses all six into one system → The thing between most people and revenue was never the idea, it was throughput
0:30

Grok Bot Galaxy starts tomorrow with three days of SpaceX AI building an entire company live, and a seven-agent content system with researcher, writer, visualiser, analyst, scheduler and publisher is already finished and running with zero code and ten minutes to stand up. → Chief of staff routes every task, nothing publishes without human approval → Seven agents, one narrow job each, fixed handoff order → Content is six jobs when done manually, this collapses all six into one system → The thing between most people and revenue was never the idea, it was throughput

0xMarioNawfal

48,165 Aufrufe • vor 3 Tagen

SpaceXAI engineer whose Slack bot became Grok Bot, Lauren Tan (poteto): "The cat agents went wild. Refactors that would have taken a team of engineers years took two of us. I am not cooking anymore. I run a Michelin kitchen where every cook is a bot and I own the quality control." In 26 minutes she hands the bug queue to her chief of staff bot. Watch it today, then read how to set up your first Bot properly, in the article below ↓ source: MTS podcast
26:23

SpaceXAI engineer whose Slack bot became Grok Bot, Lauren Tan (poteto): "The cat agents went wild. Refactors that would have taken a team of engineers years took two of us. I am not cooking anymore. I run a Michelin kitchen where every cook is a bot and I own the quality control." In 26 minutes she hands the bug queue to her chief of staff bot. Watch it today, then read how to set up your first Bot properly, in the article below ↓ source: MTS podcast

Phosphen

13,079 Aufrufe • vor 17 Tagen

WTF, GROK BOT JUST MADE AI AGENTS AVAILABLE TO LITERALLY ANYONE – CREATING CONTENT HAS NEVER BEEN THIS EASY, EVEN IF YOU'VE NEVER MADE ANYTHING BEFORE Content was never a talent problem. It's a headcount problem. One person doing research, design, copy, analytics, timing and publishing – that's six jobs. The switching between them is what kills consistency, not a lack of ideas. Here's what one of these setups actually looks like. A Chief of Staff sits in the middle and routes every task. Nothing lands on the human. → Researcher tracks what's actually moving and pulls real sources instead of guesswork → Writer turns that research into finished copy, ready to review → Visualiser gets fed a few reference visuals once, then ships everything in that style → Analyst reads the numbers and tells the rest of the team what worked → Scheduler owns timing and holds the queue → Publisher ships it The part that makes it work: every agent on Grok Bot gets its own persistent computer, browser and file system – and they all share memory. So the research is already sitting inside the draft before the draft starts. No copy-pasting between tools. No approving every step. No human in the middle. You can even teach an agent a repetitive task by recording yourself doing it once. Start recording, do the thing, stop. It learns the pattern. And that's the real shift. Nobody needs AI to tell them what to post. They need it to delete the 40 steps between the idea and the post. Everyone has a backlog of things they've meant to make for months. This is what starts clearing it. Full breakdown of the setup in the article below ↓
0:20

WTF, GROK BOT JUST MADE AI AGENTS AVAILABLE TO LITERALLY ANYONE – CREATING CONTENT HAS NEVER BEEN THIS EASY, EVEN IF YOU'VE NEVER MADE ANYTHING BEFORE Content was never a talent problem. It's a headcount problem. One person doing research, design, copy, analytics, timing and publishing – that's six jobs. The switching between them is what kills consistency, not a lack of ideas. Here's what one of these setups actually looks like. A Chief of Staff sits in the middle and routes every task. Nothing lands on the human. → Researcher tracks what's actually moving and pulls real sources instead of guesswork → Writer turns that research into finished copy, ready to review → Visualiser gets fed a few reference visuals once, then ships everything in that style → Analyst reads the numbers and tells the rest of the team what worked → Scheduler owns timing and holds the queue → Publisher ships it The part that makes it work: every agent on Grok Bot gets its own persistent computer, browser and file system – and they all share memory. So the research is already sitting inside the draft before the draft starts. No copy-pasting between tools. No approving every step. No human in the middle. You can even teach an agent a repetitive task by recording yourself doing it once. Start recording, do the thing, stop. It learns the pattern. And that's the real shift. Nobody needs AI to tell them what to post. They need it to delete the 40 steps between the idea and the post. Everyone has a backlog of things they've meant to make for months. This is what starts clearing it. Full breakdown of the setup in the article below ↓

SCOTTY BEAM

4,818,742 Aufrufe • vor 29 Tagen

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 Aufrufe • vor 28 Tagen

SpaceXAI engineers just released a free 1-hour workshop on full Grok Bot Agents: best prompts → CEO bot → 15-25 agents → 100% automation from scratch: 0% → 5:56 - build your first Grok Bot 25% → 13:13 - ship 1 bot to 15 correctly and build CEO 50% → 30:00 - teach Bots to work 24/7 75% → 37:07 - secret skills of building teams of agents by GrokBot team 100% → 44:46 - full 24/7 system that automate your life the real Grok Bot unlock isn’t better prompts - it’s turning one Bot into an always-on team that delegates work without you watch the workshop, copy the team structure - then read the full Grok Bot architecture below ↓
51:44

SpaceXAI engineers just released a free 1-hour workshop on full Grok Bot Agents: best prompts → CEO bot → 15-25 agents → 100% automation from scratch: 0% → 5:56 - build your first Grok Bot 25% → 13:13 - ship 1 bot to 15 correctly and build CEO 50% → 30:00 - teach Bots to work 24/7 75% → 37:07 - secret skills of building teams of agents by GrokBot team 100% → 44:46 - full 24/7 system that automate your life the real Grok Bot unlock isn’t better prompts - it’s turning one Bot into an always-on team that delegates work without you watch the workshop, copy the team structure - then read the full Grok Bot architecture below ↓

codila

82,962 Aufrufe • vor 15 Tagen

HOLY SH*T. I BUILT A 24/7 AI TRADING FLOOR INSIDE GROK BOT Six AI agents, six cloud terminals and one Chief of Staff now operate as a single desk, researching, challenging and routing ideas while my laptop stays closed. The morning call starts at 4:00 AM. I am not in it. TAPE → watches the prints and flags unusual size QUANT → refits the models whenever they drift MACRO → handles the Asia handover, oil, rates and FX RISK → controls exposure and keeps VAR pinned FLOW → reads sweeps and block trades PM → keeps the book Above them sits GROK BOT. The Chief of Staff never trades. It checks every handoff, rejects weak signals and escalates only the decision that genuinely requires a human. Research → risk review → execution → visible audit trail No meetings. No status updates. No one asking whether the work is finished. What looks like a trading terminal is actually an organization compiled into software. Every agent has its own computer, browser, memory and responsibility, yet the entire operation remains visible on one screen. The market data in this prototype is simulated. The operating model isn’t.
0:54

HOLY SH*T. I BUILT A 24/7 AI TRADING FLOOR INSIDE GROK BOT Six AI agents, six cloud terminals and one Chief of Staff now operate as a single desk, researching, challenging and routing ideas while my laptop stays closed. The morning call starts at 4:00 AM. I am not in it. TAPE → watches the prints and flags unusual size QUANT → refits the models whenever they drift MACRO → handles the Asia handover, oil, rates and FX RISK → controls exposure and keeps VAR pinned FLOW → reads sweeps and block trades PM → keeps the book Above them sits GROK BOT. The Chief of Staff never trades. It checks every handoff, rejects weak signals and escalates only the decision that genuinely requires a human. Research → risk review → execution → visible audit trail No meetings. No status updates. No one asking whether the work is finished. What looks like a trading terminal is actually an organization compiled into software. Every agent has its own computer, browser, memory and responsibility, yet the entire operation remains visible on one screen. The market data in this prototype is simulated. The operating model isn’t.

BuBBliK

324,716 Aufrufe • vor 24 Tagen

SpaceXAI engineer, ex-Cursor: "my Grok Bots now do the work of a 12-person engineering team, and I haven't written a line of code by hand in 4 months we ship 30+ features a week, the bots build all of it, my only job left is hitting approve" in an 18-minute breakdown, a SpaceXAI engineer shows the exact setup doing the work of a full team with one person signing off worth more than a $500 course on agentic engineering watch today, then read how to build that same build-it-for-you structure into your own Grok Bots in the article below
18:42

SpaceXAI engineer, ex-Cursor: "my Grok Bots now do the work of a 12-person engineering team, and I haven't written a line of code by hand in 4 months we ship 30+ features a week, the bots build all of it, my only job left is hitting approve" in an 18-minute breakdown, a SpaceXAI engineer shows the exact setup doing the work of a full team with one person signing off worth more than a $500 course on agentic engineering watch today, then read how to build that same build-it-for-you structure into your own Grok Bots in the article below

KingWilliam

13,472 Aufrufe • vor 11 Tagen

FIVE LAYERS OF AGENT ENGINEERING, EACH ONE WRAPS THE ONE BELOW IT. IF YOU SKIP LAYER 2, YOUR LAYER 5 WILL LOOK BROKEN WHEN IT IS ACTUALLY JUST STANDING ON NOTHING. for weeks i debated harness vs loop vs graph like they were competing choices. then a stack diagram made the shape obvious. they are not choices. they are floors. 01 | prompt engineering. the message. unit of work: one input. inputs are role, instructions, examples, format. output is a single raw response. 02 | context engineering. the memory. unit of work: what stays in the window. a curator selects, compresses, and drops from query, docs, memory, prior turns, and tool outputs before the prompt runs. 03 | harness engineering. the machine. unit of work: the machine itself. gather (context + prompt) → LLM → tools or sub-agents → verifier → final response. the article calls this the operating environment. 04 | loop engineering. the system. unit of work: the run. goal + success criteria + max iterations + budget + completion check wrap around one harness pass. failed pass appends results to context and retries. 05 | graph engineering. the topology. unit of work: the graph run. goal + nodes + edges + state schema. graph routes to agent nodes, tool nodes, or human approval. a reviewer node with a different model and fresh context checks the final answer. the wrapping is the whole point. layer 5 assumes layer 4 works. layer 4 assumes layer 3 works. skip layer 2 and layer 3's verifier keeps failing without a clear reason. this is why swapping the model is a one-day project and swapping the stack is a quarter. the model is the commodity. the five layers around it are the engineering. full three-layer breakdown of the top of the stack (harness, loop, graph) in the post below.
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FIVE LAYERS OF AGENT ENGINEERING, EACH ONE WRAPS THE ONE BELOW IT. IF YOU SKIP LAYER 2, YOUR LAYER 5 WILL LOOK BROKEN WHEN IT IS ACTUALLY JUST STANDING ON NOTHING. for weeks i debated harness vs loop vs graph like they were competing choices. then a stack diagram made the shape obvious. they are not choices. they are floors. 01 | prompt engineering. the message. unit of work: one input. inputs are role, instructions, examples, format. output is a single raw response. 02 | context engineering. the memory. unit of work: what stays in the window. a curator selects, compresses, and drops from query, docs, memory, prior turns, and tool outputs before the prompt runs. 03 | harness engineering. the machine. unit of work: the machine itself. gather (context + prompt) → LLM → tools or sub-agents → verifier → final response. the article calls this the operating environment. 04 | loop engineering. the system. unit of work: the run. goal + success criteria + max iterations + budget + completion check wrap around one harness pass. failed pass appends results to context and retries. 05 | graph engineering. the topology. unit of work: the graph run. goal + nodes + edges + state schema. graph routes to agent nodes, tool nodes, or human approval. a reviewer node with a different model and fresh context checks the final answer. the wrapping is the whole point. layer 5 assumes layer 4 works. layer 4 assumes layer 3 works. skip layer 2 and layer 3's verifier keeps failing without a clear reason. this is why swapping the model is a one-day project and swapping the stack is a quarter. the model is the commodity. the five layers around it are the engineering. full three-layer breakdown of the top of the stack (harness, loop, graph) in the post below.

kocer

30,675 Aufrufe • vor 19 Tagen

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 ↓
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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 Aufrufe • vor 9 Tagen

SpaceXAI engineer, Lauren Tan: "I stopped using Grok Bot like a chatbot a long time ago, now I run it like a team I manage I shipped 3000 PRs last month, I'm at almost 800 already this month and we're only on the 12th I woke up today and 20 had already landed, I reviewed them on main after the fact" in a 1-hour workshop, Lauren Tan runs a whole fleet of Grok Bot agents that ship code overnight and review it live on stage worth more than a $500 course on agentic engineering watch today, then read how to run your own agent fleet that ships while you sleep in the article below
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SpaceXAI engineer, Lauren Tan: "I stopped using Grok Bot like a chatbot a long time ago, now I run it like a team I manage I shipped 3000 PRs last month, I'm at almost 800 already this month and we're only on the 12th I woke up today and 20 had already landed, I reviewed them on main after the fact" in a 1-hour workshop, Lauren Tan runs a whole fleet of Grok Bot agents that ship code overnight and review it live on stage worth more than a $500 course on agentic engineering watch today, then read how to run your own agent fleet that ships while you sleep in the article below

KingWilliam

35,810 Aufrufe • vor 12 Tagen