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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 ↓

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 ↓

4,821,782 просмотров

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 ↓

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 ↓

97,697 просмотров

THAT'S CRAZY, THIS CHINESE FOUNDER BUILT A MASSIVE MAC MINI FARM AND EACH ONE RUNNING ITS OWN HERMES AI AGENT LIKE A FULL-TIME EMPLOYEE He's not running one AI assistant. He's running an entire workforce. The stack: Mac Mini + Hermes, scaled out across a full physical farm. Every single Mac Mini in the rack runs its own instance of Hermes Agent – and each one has its own dedicated job. Not duplicated tasks. Actual division of labor, machine by machine, the way you'd structure a real team. No salaries. No sick days. No onboarding. Just racks of hardware, each one handling its own piece of the business, running in parallel, 24/7. This is what it looks like when "AI agent" stops being one chatbot on your laptop and starts being an actual operation. Most people are running one AI tool. This guy built a company out of them. Bookmark this post. Full setup in the video below.

THAT'S CRAZY, THIS CHINESE FOUNDER BUILT A MASSIVE MAC MINI FARM AND EACH ONE RUNNING ITS OWN HERMES AI AGENT LIKE A FULL-TIME EMPLOYEE He's not running one AI assistant. He's running an entire workforce. The stack: Mac Mini + Hermes, scaled out across a full physical farm. Every single Mac Mini in the rack runs its own instance of Hermes Agent – and each one has its own dedicated job. Not duplicated tasks. Actual division of labor, machine by machine, the way you'd structure a real team. No salaries. No sick days. No onboarding. Just racks of hardware, each one handling its own piece of the business, running in parallel, 24/7. This is what it looks like when "AI agent" stops being one chatbot on your laptop and starts being an actual operation. Most people are running one AI tool. This guy built a company out of them. Bookmark this post. Full setup in the video below.

20,503 просмотров

THIS CHINESE GIRL CREATING INSANE AI VISUALS WITH HER FINGERS IN REAL TIME. THE TOOLS COST $0. While most visual artists are paying $150+/month for tools that rate limit mid-performance and send every prompt to a third-party server – this runs entirely offline on a normal laptop. –> TouchDesigner: free for non-commercial use. –> Ollama: open source since 2023. –> Total monthly cost: $0. Here's what $0 actually builds: –> Hand tracking with AI logic: MediaPipe tracks your hands, AI reads coordinates and triggers visual states. No hardcoded rules. –> Audio-reactive visuals: Audio feeds into Ollama every frame. AI returns parameters. TouchDesigner renders. Full loop under 50ms. –> Live performance: AI generates color palettes, particle behaviors, scene transitions from crowd audio, MIDI, microphone, camera. All real-time. –> Client installations: No API key that expires. No subscription that dies mid-show. Hand over the laptop and it runs forever. The $150/month tools go down at the worst moment. This doesn't go down. Ever. Your laptop. $0/month. A visual studio that runs forever. Bookmark this post. Full demo in the video below.

THIS CHINESE GIRL CREATING INSANE AI VISUALS WITH HER FINGERS IN REAL TIME. THE TOOLS COST $0. While most visual artists are paying $150+/month for tools that rate limit mid-performance and send every prompt to a third-party server – this runs entirely offline on a normal laptop. –> TouchDesigner: free for non-commercial use. –> Ollama: open source since 2023. –> Total monthly cost: $0. Here's what $0 actually builds: –> Hand tracking with AI logic: MediaPipe tracks your hands, AI reads coordinates and triggers visual states. No hardcoded rules. –> Audio-reactive visuals: Audio feeds into Ollama every frame. AI returns parameters. TouchDesigner renders. Full loop under 50ms. –> Live performance: AI generates color palettes, particle behaviors, scene transitions from crowd audio, MIDI, microphone, camera. All real-time. –> Client installations: No API key that expires. No subscription that dies mid-show. Hand over the laptop and it runs forever. The $150/month tools go down at the worst moment. This doesn't go down. Ever. Your laptop. $0/month. A visual studio that runs forever. Bookmark this post. Full demo in the video below.

19,116 просмотров

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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 ↓

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 ↓

4,821,782 просмотров • 1 месяц назад

I STILL CANNOT F**KING UNDERSTAND WHY YOU ARE NOT USING GROK BOT + PICSART TO MAKE MONEY RIGHT NOW THIS EXACT STACK PAYS ME $11,000+ EVERY MONTH I touch it about two hours a week. Here is the whole workflow, top to bottom: 1. Scout finds 10 stories a day, each with a primary source. Anything it cannot verify gets dropped before a single credit is spent. 2. Scriptwriter turns the survivors into 80 seconds: 7 shots, a duration and one line of voiceover each. 3. Art Director picks the look and the model for every shot, and rotates the visual register so no two videos in a day look alike. 4. Producer calls Picsart through MCP. One tool, 201 models, 84 of them video. It reads the cost quote before every generation. A finished 80 second video costs about 550 credits, roughly $9. 5. Editor cuts, adds voice, burns captions. 6. Auditor opens the last 30 published videos and kills anything that rhymes with them. It deletes about a third of everything the stack makes. This is the agent that keeps the money coming in. 7. Publisher writes the titles, applies the AI label only where it is actually required, uploads to Shorts, TikTok and Reels. 8. Analyst reads the numbers Monday and tells the others what to stop doing. 42 videos made a week. 30 published. 9 bots. 0 filming, 0 editing, 0 face. Now the part nobody wants to hear: → YouTube does not demonetise AI. It demonetises sameness. Their policy targets mass-produced templated content, and it names "visualising a character and a narrative you invented" as a legitimate use. The line is originality, not tooling. → TikTok pays $0.40 to $2.00 per 1,000 qualified views. Template trend content sits at the floor. Education, finance and business sit at the top. That is a 5x difference for the same effort. → My best paying channel is the boring one. Animated diagrams, no footage, cheapest to produce. → Picsart gives you 5 free credits on signup. That is enough to test the whole pipeline before you spend a dollar. The tools are not the moat any more. Everyone has them. The moat is having something that decides what not to publish. I wrote the entire build up: all 9 agent prompts, how to wire Picsart into Grok Bot step by step, the full cost breakdown, and what each of my 4 revenue streams actually pays. Read it here ↓

I STILL CANNOT F**KING UNDERSTAND WHY YOU ARE NOT USING GROK BOT + PICSART TO MAKE MONEY RIGHT NOW THIS EXACT STACK PAYS ME $11,000+ EVERY MONTH I touch it about two hours a week. Here is the whole workflow, top to bottom: 1. Scout finds 10 stories a day, each with a primary source. Anything it cannot verify gets dropped before a single credit is spent. 2. Scriptwriter turns the survivors into 80 seconds: 7 shots, a duration and one line of voiceover each. 3. Art Director picks the look and the model for every shot, and rotates the visual register so no two videos in a day look alike. 4. Producer calls Picsart through MCP. One tool, 201 models, 84 of them video. It reads the cost quote before every generation. A finished 80 second video costs about 550 credits, roughly $9. 5. Editor cuts, adds voice, burns captions. 6. Auditor opens the last 30 published videos and kills anything that rhymes with them. It deletes about a third of everything the stack makes. This is the agent that keeps the money coming in. 7. Publisher writes the titles, applies the AI label only where it is actually required, uploads to Shorts, TikTok and Reels. 8. Analyst reads the numbers Monday and tells the others what to stop doing. 42 videos made a week. 30 published. 9 bots. 0 filming, 0 editing, 0 face. Now the part nobody wants to hear: → YouTube does not demonetise AI. It demonetises sameness. Their policy targets mass-produced templated content, and it names "visualising a character and a narrative you invented" as a legitimate use. The line is originality, not tooling. → TikTok pays $0.40 to $2.00 per 1,000 qualified views. Template trend content sits at the floor. Education, finance and business sit at the top. That is a 5x difference for the same effort. → My best paying channel is the boring one. Animated diagrams, no footage, cheapest to produce. → Picsart gives you 5 free credits on signup. That is enough to test the whole pipeline before you spend a dollar. The tools are not the moat any more. Everyone has them. The moat is having something that decides what not to publish. I wrote the entire build up: all 9 agent prompts, how to wire Picsart into Grok Bot step by step, the full cost breakdown, and what each of my 4 revenue streams actually pays. Read it here ↓

113,092 просмотров • 4 дней назад

WTF, THIS GUY FROM CURSOR GAVE GROK BOT A PILE OF CLOTHES HIS SISTER WAS TOO LAZY TO SELL – AND IT HANDLED THE ENTIRE SALE BY ITSELF His sister had tons of clothes she never wore anymore, but selling them meant taking photos, creating listings, adding descriptions, answering buyers and negotiating prices – so she kept putting it off. He gave the entire task to Grok Bot. It looked at the photos, identified the items, created the listings, pulled in the relevant information and started negotiating with buyers on its own. No babysitting. No approving every message. No sitting there telling it what to do next. Grok Bot has its own computer, so once he handed over the task, it just kept going. And that’s what makes this interesting. The biggest problem with small tasks isn’t usually the work itself. It’s the mental load of remembering them, starting them, checking them, replying to people and making sure they actually get finished. AI agents are starting to remove that entire layer. You don’t need to ask AI how to sell your clothes. You can just say: “Sell these”. And let it figure out the rest. Everyone has a list of things they’ve been putting off for months. AI is starting to check them off for you.

WTF, THIS GUY FROM CURSOR GAVE GROK BOT A PILE OF CLOTHES HIS SISTER WAS TOO LAZY TO SELL – AND IT HANDLED THE ENTIRE SALE BY ITSELF His sister had tons of clothes she never wore anymore, but selling them meant taking photos, creating listings, adding descriptions, answering buyers and negotiating prices – so she kept putting it off. He gave the entire task to Grok Bot. It looked at the photos, identified the items, created the listings, pulled in the relevant information and started negotiating with buyers on its own. No babysitting. No approving every message. No sitting there telling it what to do next. Grok Bot has its own computer, so once he handed over the task, it just kept going. And that’s what makes this interesting. The biggest problem with small tasks isn’t usually the work itself. It’s the mental load of remembering them, starting them, checking them, replying to people and making sure they actually get finished. AI agents are starting to remove that entire layer. You don’t need to ask AI how to sell your clothes. You can just say: “Sell these”. And let it figure out the rest. Everyone has a list of things they’ve been putting off for months. AI is starting to check them off for you.

1,029,254 просмотров • 1 месяц назад

ELON MUSK REPOSTED MY GROK BOT CONTENT SETUP. AND I STILL DON'T UNDERSTAND WHY NOBODY IS DOING THIS WITH TRADING YET. A WALL STREET RESEARCH DESK COSTS MILLIONS A YEAR TO STAFF – YOU CAN NOW RUN THE SAME THING WITH 9 GROK BOT AGENTS. Nine people used to do this job. Nine Grok Bot agents now do it while you sleep. Here's the entire desk: → MACRO – watches rates, CPI, FOMC. Tells you what kind of day it is before you open a single chart. → SCANNER – sweeps 9,000 tickers for one thing: your setup. Not "interesting stocks". Yours. → CATALYST – reads every 8-K, earnings call and wire the second it drops. Flags the two that matter. → QUANT – backtests the idea before you fall in love with it. Kills it if the edge isn't there. → CRYPTO – on-chain flows, funding, basis. The stuff nobody has the energy to check at 2am. → RISK – the one that actually saves you. Sizes the position, sets the stop, refuses the 4th trade. → EXECUTION – places the order, tracks the fill, reports the slippage in basis points. → COMPLIANCE – logs every single decision. So you can audit yourself instead of lying to yourself. → CHIEF OF STAFF – sits on top of all eight. Ranks their output and hands you one page every morning. Here's the part nobody says out loud: Retail traders don't lose because they lack information. They lose because they can't process it fast enough – and can't stay disciplined when they do. Grok Bot solves the first problem completely. RISK and COMPLIANCE quietly solve the second one, because a bot never moves a stop loss. And you write zero code. You describe each agent in plain English, tell it where to look, give it one job. Start with two: SCANNER and RISK. That alone is more process than 95% of retail traders have ever run. Not financial advice – this is a research desk, not a money printer. The bots find and organise. You decide. Bookmark this & read more in the article below ↓

ELON MUSK REPOSTED MY GROK BOT CONTENT SETUP. AND I STILL DON'T UNDERSTAND WHY NOBODY IS DOING THIS WITH TRADING YET. A WALL STREET RESEARCH DESK COSTS MILLIONS A YEAR TO STAFF – YOU CAN NOW RUN THE SAME THING WITH 9 GROK BOT AGENTS. Nine people used to do this job. Nine Grok Bot agents now do it while you sleep. Here's the entire desk: → MACRO – watches rates, CPI, FOMC. Tells you what kind of day it is before you open a single chart. → SCANNER – sweeps 9,000 tickers for one thing: your setup. Not "interesting stocks". Yours. → CATALYST – reads every 8-K, earnings call and wire the second it drops. Flags the two that matter. → QUANT – backtests the idea before you fall in love with it. Kills it if the edge isn't there. → CRYPTO – on-chain flows, funding, basis. The stuff nobody has the energy to check at 2am. → RISK – the one that actually saves you. Sizes the position, sets the stop, refuses the 4th trade. → EXECUTION – places the order, tracks the fill, reports the slippage in basis points. → COMPLIANCE – logs every single decision. So you can audit yourself instead of lying to yourself. → CHIEF OF STAFF – sits on top of all eight. Ranks their output and hands you one page every morning. Here's the part nobody says out loud: Retail traders don't lose because they lack information. They lose because they can't process it fast enough – and can't stay disciplined when they do. Grok Bot solves the first problem completely. RISK and COMPLIANCE quietly solve the second one, because a bot never moves a stop loss. And you write zero code. You describe each agent in plain English, tell it where to look, give it one job. Start with two: SCANNER and RISK. That alone is more process than 95% of retail traders have ever run. Not financial advice – this is a research desk, not a money printer. The bots find and organise. You decide. Bookmark this & read more in the article below ↓

93,953 просмотров • 1 месяц назад

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 ↓

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 ↓

97,697 просмотров • 1 месяц назад

WTF, WHY IS NOBODY TELLING YOU TO SET THIS UP TODAY? SEVEN AGENTS, ZERO CODE, ONE EVENING. Start using Grok Bot for content today. Not next month. Today. The gap between the people who did and the people who kept meaning to is already visible on this timeline. Nothing about your ideas has to change. What changes is how many of them actually get out. Almost nobody has an idea problem – they have a shipping problem, and shipping is exactly the part a machine is better at than you. The setup is seven agents: a Chief of Staff routing every task, a Researcher pulling real sources, a Writer turning them into finished copy in your voice, a Visualiser producing every image in your style, an Analyst reading what actually performed, a Scheduler owning the timing, a Publisher shipping it. You approve. That's the whole job now. More output → more surface area → more of everything that follows from being seen. Full guide, the one Elon reposted, in the article below ↓

WTF, WHY IS NOBODY TELLING YOU TO SET THIS UP TODAY? SEVEN AGENTS, ZERO CODE, ONE EVENING. Start using Grok Bot for content today. Not next month. Today. The gap between the people who did and the people who kept meaning to is already visible on this timeline. Nothing about your ideas has to change. What changes is how many of them actually get out. Almost nobody has an idea problem – they have a shipping problem, and shipping is exactly the part a machine is better at than you. The setup is seven agents: a Chief of Staff routing every task, a Researcher pulling real sources, a Writer turning them into finished copy in your voice, a Visualiser producing every image in your style, an Analyst reading what actually performed, a Scheduler owning the timing, a Publisher shipping it. You approve. That's the whole job now. More output → more surface area → more of everything that follows from being seen. Full guide, the one Elon reposted, in the article below ↓

31,177 просмотров • 17 дней назад

THAT'S F**KING CRAZY, MY GROK BOT CONTENT DESK COSTS ME $20 A MONTH. I GOT QUOTED OVER $15,000 FOR THE HUMAN VERSION. I actually priced it out before I built it. Researcher, writer, designer, analyst, scheduler, editor – six roles, market rates, five figures a month before anyone ships a single post. Freelance instead of full-time? Cheaper, and then you own six calendars and six inboxes. → Seven agents replaced that line item. Here's the part that actually explains why. One narrow job each. A model asked to be six people is mediocre at six things. Asked to be one, it's one. Six worse prompts beat one perfect one. A fixed handoff order. The bottleneck was never ideas – it was the six hand-offs between having one and shipping it. Every hand-off is where a human team loses a day. Here it's a function call. A seventh agent that only routes. Six agents without a chief of staff is a group chat. With one, it's a desk. Nobody sleeps. Six people go home at six. The chain doesn't. Same week of work, compressed into an evening. Zero code. Seven prompts. Ten minutes to stand up. I still approve everything before it publishes – that gate I kept on purpose. And this hasn't been measured against months of results yet. When it is, the misses get written up too. I wrote it all down so you don't have to guess at the prompts. Seven agents, one article ↓

THAT'S F**KING CRAZY, MY GROK BOT CONTENT DESK COSTS ME $20 A MONTH. I GOT QUOTED OVER $15,000 FOR THE HUMAN VERSION. I actually priced it out before I built it. Researcher, writer, designer, analyst, scheduler, editor – six roles, market rates, five figures a month before anyone ships a single post. Freelance instead of full-time? Cheaper, and then you own six calendars and six inboxes. → Seven agents replaced that line item. Here's the part that actually explains why. One narrow job each. A model asked to be six people is mediocre at six things. Asked to be one, it's one. Six worse prompts beat one perfect one. A fixed handoff order. The bottleneck was never ideas – it was the six hand-offs between having one and shipping it. Every hand-off is where a human team loses a day. Here it's a function call. A seventh agent that only routes. Six agents without a chief of staff is a group chat. With one, it's a desk. Nobody sleeps. Six people go home at six. The chain doesn't. Same week of work, compressed into an evening. Zero code. Seven prompts. Ten minutes to stand up. I still approve everything before it publishes – that gate I kept on purpose. And this hasn't been measured against months of results yet. When it is, the misses get written up too. I wrote it all down so you don't have to guess at the prompts. Seven agents, one article ↓

19,221 просмотров • 12 дней назад

A 22-YEAR-OLD STUDENT BUILT A FULLY AUTONOMOUS AI ONLYFANS MODEL MAKING $43,000+ PER MONTH WHILE HE’S STILL IN COLLEGE No camera. No filming. No editing. No human chatting. Just Claude Code. Flux. ElevenLabs. Three AI tools running the entire business. Her AI persona talks to subscribers 24/7. No sleep. No burnout. No production costs. Here’s the stack: –> Claude Code: writes every message, manages conversations, and automates the entire content workflow. –> Flux: generates every photo and thumbnail. –> ElevenLabs: creates a consistent voice for every audio and video. No one is behind the keyboard. No one is taking photos. Her biggest fans have spent nearly $2,000 on messages alone, while the average revenue per subscriber is around $34. A fully autonomous OnlyFans account generating $43,000+ a month while its creator is busy studying. Bookmark this post. The full breakdown is in the video below.

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A 22-YEAR-OLD STUDENT BUILT A FULLY AUTONOMOUS AI ONLYFANS MODEL MAKING $43,000+ PER MONTH WHILE HE’S STILL IN COLLEGE No camera. No filming. No editing. No human chatting. Just Claude Code. Flux. ElevenLabs. Three AI tools running the entire business. Her AI persona talks to subscribers 24/7. No sleep. No burnout. No production costs. Here’s the stack: –> Claude Code: writes every message, manages conversations, and automates the entire content workflow. –> Flux: generates every photo and thumbnail. –> ElevenLabs: creates a consistent voice for every audio and video. No one is behind the keyboard. No one is taking photos. Her biggest fans have spent nearly $2,000 on messages alone, while the average revenue per subscriber is around $34. A fully autonomous OnlyFans account generating $43,000+ a month while its creator is busy studying. Bookmark this post. The full breakdown is in the video below.

90,867 просмотров • 3 месяцев назад

SHE FOUND HER DAD'S OLD 2011 MAC MINI SITTING IN A SAFE AND TURNED IT INTO A FULLY WORKING HERMES AI AGENT MACHINE The starting point: a 14-year-old Mac Mini, Intel Core i5, macOS officially unsupported at this point. Instead of tossing it, here's what she did: → Wiped macOS entirely, installed Ubuntu instead → Skipped WiFi setup, connected it straight to the router → Pulled the drivers, ran the full install → Set it up for remote access over SSH – no monitor or keyboard needed after this point → Installed Hermes Agent directly on it A machine most people would've written off as e-waste is now a fully remote-controllable AI agent box. This is the part people underestimate about old hardware: you don't need the newest Mac Mini or a $2K rig to run a real AI agent. You need Linux, SSH, and the willingness to actually try. Bookmark this. What she builds on it next is worth watching for.

SHE FOUND HER DAD'S OLD 2011 MAC MINI SITTING IN A SAFE AND TURNED IT INTO A FULLY WORKING HERMES AI AGENT MACHINE The starting point: a 14-year-old Mac Mini, Intel Core i5, macOS officially unsupported at this point. Instead of tossing it, here's what she did: → Wiped macOS entirely, installed Ubuntu instead → Skipped WiFi setup, connected it straight to the router → Pulled the drivers, ran the full install → Set it up for remote access over SSH – no monitor or keyboard needed after this point → Installed Hermes Agent directly on it A machine most people would've written off as e-waste is now a fully remote-controllable AI agent box. This is the part people underestimate about old hardware: you don't need the newest Mac Mini or a $2K rig to run a real AI agent. You need Linux, SSH, and the willingness to actually try. Bookmark this. What she builds on it next is worth watching for.

53,731 просмотров • 2 месяцев назад

WTF, THAT'S UNBELIEVABLE, 7 GROK BOT AGENTS SOLVED A $10,000-A-MONTH PROBLEM IN ONE EVENING For years anyone serious about content hit the same wall: it isn't one job, it's six. Research, writing, visuals, analysis, timing, publishing. One person doing all six ships once a week and burns out. Hiring all six – a researcher, a writer, a designer, an analyst, a scheduler, an editor – runs into five figures a month at market rates. → Now seven agents do it, and they don't sleep. The setup runs on Grok Bot. Seven agents, each with one narrow job, handing off in a fixed order. They work in parallel, pass output down the chain, and surface exactly one thing to me when a real decision is needed. Everything else they just handle. Zero code. Seven prompts. Ten minutes to stand up. Then it runs 24/7 without me in the loop. The chain showed me something I did not expect: the bottleneck was never ideas. It was the six hand-offs between having one and shipping it. Nothing publishes without my approval – that part I kept. And it hasn't been measured against months of results yet. When it is, the misses get published too. This isn't one AI replacing one creator. Seven narrow agents now form a content desk and compress a week of work into an evening ↓

WTF, THAT'S UNBELIEVABLE, 7 GROK BOT AGENTS SOLVED A $10,000-A-MONTH PROBLEM IN ONE EVENING For years anyone serious about content hit the same wall: it isn't one job, it's six. Research, writing, visuals, analysis, timing, publishing. One person doing all six ships once a week and burns out. Hiring all six – a researcher, a writer, a designer, an analyst, a scheduler, an editor – runs into five figures a month at market rates. → Now seven agents do it, and they don't sleep. The setup runs on Grok Bot. Seven agents, each with one narrow job, handing off in a fixed order. They work in parallel, pass output down the chain, and surface exactly one thing to me when a real decision is needed. Everything else they just handle. Zero code. Seven prompts. Ten minutes to stand up. Then it runs 24/7 without me in the loop. The chain showed me something I did not expect: the bottleneck was never ideas. It was the six hand-offs between having one and shipping it. Nothing publishes without my approval – that part I kept. And it hasn't been measured against months of results yet. When it is, the misses get published too. This isn't one AI replacing one creator. Seven narrow agents now form a content desk and compress a week of work into an evening ↓

12,204 просмотров • 13 дней назад

HE TESTED 5 AI MODELS WITH HERMES AGENT AFTER FABLE 5 GOT BANNED. ONE CHINESE MODEL IS DOING OPUS-LEVEL WORK FOR FREE. Here's the full breakdown: → DeepSeek V4 Flash – super fast but hallucinates too much for complex tasks. Good for small quick jobs only. → ChatGPT 5.5 – best for beginners. Pro plan gives you enormous usage. Handles Gmail, Google Drive, Stripe connectors perfectly. The issue: it identifies problems but never proactively suggests solutions. Frustrating for daily use. → Claude – still the best quality but API billing only. Subscription access removed. Not viable with Hermes Agent unless you're paying API rates. → Kimi K 2.7 – coding-heavy sub-agent tasks. Not a main driver but excellent as a worker underneath an orchestrator. → GLM 5.2 – the winner. Opus-level quality. Chinese open source model. Since switching to it, the troubleshooting headaches are gone. His current setup: GLM 5.2 as the orchestrator brain. Kimi K 2.7 as the email assistant worker underneath. He only talks to the orchestrator and it delegates everything else. Plus: the latest Hermes Agent update now supports iMessage. Bookmark this post. Full breakdown in the video below.

HE TESTED 5 AI MODELS WITH HERMES AGENT AFTER FABLE 5 GOT BANNED. ONE CHINESE MODEL IS DOING OPUS-LEVEL WORK FOR FREE. Here's the full breakdown: → DeepSeek V4 Flash – super fast but hallucinates too much for complex tasks. Good for small quick jobs only. → ChatGPT 5.5 – best for beginners. Pro plan gives you enormous usage. Handles Gmail, Google Drive, Stripe connectors perfectly. The issue: it identifies problems but never proactively suggests solutions. Frustrating for daily use. → Claude – still the best quality but API billing only. Subscription access removed. Not viable with Hermes Agent unless you're paying API rates. → Kimi K 2.7 – coding-heavy sub-agent tasks. Not a main driver but excellent as a worker underneath an orchestrator. → GLM 5.2 – the winner. Opus-level quality. Chinese open source model. Since switching to it, the troubleshooting headaches are gone. His current setup: GLM 5.2 as the orchestrator brain. Kimi K 2.7 as the email assistant worker underneath. He only talks to the orchestrator and it delegates everything else. Plus: the latest Hermes Agent update now supports iMessage. Bookmark this post. Full breakdown in the video below.

48,231 просмотров • 3 месяцев назад

WTF, I JUST BUILT A FULL GROK BOT AGENT SETUP FOR A CYBERTRUCK – AND I'M CONVINCED ELON MUSK SHOULD PUT GROK BOT INSIDE EVERY TESLA Not as a voice assistant. As a crew. The car already knows everything – battery, load, tyres, cameras, routes, charging, service history. It just never puts it together for you. So you do it yourself, at 120 km/h, with four apps open in the cupholder. I split that job into 8 agents and a boss. Here's what each one owns: → RANGE – reads speed, wind, elevation and temperature, and gives you the only number that matters: "you arrive at 42%", not "312 km" → CHARGE – finds the cheapest stall, not the closest one. Price per kWh along the route, cheap overnight at home, and the honest call when a 40 km detour isn't worth 12 minutes → ROUTE – picks the road, not the straight line. Traffic, roadworks, elevation, weather on the pass. Rebuilds itself the second something changes → LOAD – weight, axles, tyre pressure under load, and the number nobody calculates: how much range that trailer just ate → SERVICE – tyres, brakes, software, warranty, inspection. Books it before the warning light, not after → GUARD – triages the camera footage. "Someone touched the truck at 03:12" instead of four hours of nothing → CABIN – preheats before you walk out, sets up camp mode, and shows what the comfort costs you in range → POWERBANK – turns the car into a battery. Fridge for 3 days, tools for a shift, house for a night – and tells you when to stop drawing → CHIEF OF STAFF – reads all eight and gives you one line: leave now, fix this, or nothing needs you Why Grok Bot is the right thing for this: Every agent gets its own persistent computer, browser and file system – and they all share memory. So ROUTE already knows what LOAD hitched to the back before it plans a kilometre. CHARGE already knows your home tariff and last month's stops. Nothing gets re-explained, nothing gets copy-pasted, and you don't approve every step. It's live on the road, not batch. New roadworks, a dead stall, a cold morning – the plan rebuilds itself instead of waiting for you to notice. And you can teach an agent your own routine by recording yourself doing it once. Your pre-trip check, your charging habit, the way you book service. Start recording, do the thing, stop. It keeps the pattern. That's the difference between an assistant that answers questions and a crew that removes the 30 decisions between the driveway and the destination. The concept is rendered on Mars because it deserved it. The setup underneath works on Earth today. Bookmark this & read more in the article below ↓

WTF, I JUST BUILT A FULL GROK BOT AGENT SETUP FOR A CYBERTRUCK – AND I'M CONVINCED ELON MUSK SHOULD PUT GROK BOT INSIDE EVERY TESLA Not as a voice assistant. As a crew. The car already knows everything – battery, load, tyres, cameras, routes, charging, service history. It just never puts it together for you. So you do it yourself, at 120 km/h, with four apps open in the cupholder. I split that job into 8 agents and a boss. Here's what each one owns: → RANGE – reads speed, wind, elevation and temperature, and gives you the only number that matters: "you arrive at 42%", not "312 km" → CHARGE – finds the cheapest stall, not the closest one. Price per kWh along the route, cheap overnight at home, and the honest call when a 40 km detour isn't worth 12 minutes → ROUTE – picks the road, not the straight line. Traffic, roadworks, elevation, weather on the pass. Rebuilds itself the second something changes → LOAD – weight, axles, tyre pressure under load, and the number nobody calculates: how much range that trailer just ate → SERVICE – tyres, brakes, software, warranty, inspection. Books it before the warning light, not after → GUARD – triages the camera footage. "Someone touched the truck at 03:12" instead of four hours of nothing → CABIN – preheats before you walk out, sets up camp mode, and shows what the comfort costs you in range → POWERBANK – turns the car into a battery. Fridge for 3 days, tools for a shift, house for a night – and tells you when to stop drawing → CHIEF OF STAFF – reads all eight and gives you one line: leave now, fix this, or nothing needs you Why Grok Bot is the right thing for this: Every agent gets its own persistent computer, browser and file system – and they all share memory. So ROUTE already knows what LOAD hitched to the back before it plans a kilometre. CHARGE already knows your home tariff and last month's stops. Nothing gets re-explained, nothing gets copy-pasted, and you don't approve every step. It's live on the road, not batch. New roadworks, a dead stall, a cold morning – the plan rebuilds itself instead of waiting for you to notice. And you can teach an agent your own routine by recording yourself doing it once. Your pre-trip check, your charging habit, the way you book service. Start recording, do the thing, stop. It keeps the pattern. That's the difference between an assistant that answers questions and a crew that removes the 30 decisions between the driveway and the destination. The concept is rendered on Mars because it deserved it. The setup underneath works on Earth today. Bookmark this & read more in the article below ↓

15,408 просмотров • 25 дней назад

WTF, THIS GUY STOPPED REPLYING TO HIS FRIENDS ON IMESSAGE. NOW HIS HERMES AI AGENT DOES IT FOR HIM AND THEY CAN’T TELL THE DIFFERENCE. Every time he gets a text, Hermes drafts a reply first. He never sends that draft. Instead, he writes his actual response and Hermes compares the two. The gap between what Hermes predicted and what he actually said becomes the training signal. Over time, that gap closes. The agent's drafts get closer and closer to exactly how he talks. His reasoning: email is performative. iMessage is where your real, unfiltered voice actually lives. Most people training AI to sound like them feed it formal writing – essays, emails, LinkedIn posts. That's not how anyone actually talks. This approach trains on the messiest, most honest version of someone's communication style. Quick replies. Half-finished thoughts. The way you actually text your friends. The result is an AI that doesn't write like a corporate version of you. It writes like you, texting at 11pm. This is what real personalization actually looks like, not a prompt that says "sound casual." Bookmark this post. Full breakdown in the video below.

WTF, THIS GUY STOPPED REPLYING TO HIS FRIENDS ON IMESSAGE. NOW HIS HERMES AI AGENT DOES IT FOR HIM AND THEY CAN’T TELL THE DIFFERENCE. Every time he gets a text, Hermes drafts a reply first. He never sends that draft. Instead, he writes his actual response and Hermes compares the two. The gap between what Hermes predicted and what he actually said becomes the training signal. Over time, that gap closes. The agent's drafts get closer and closer to exactly how he talks. His reasoning: email is performative. iMessage is where your real, unfiltered voice actually lives. Most people training AI to sound like them feed it formal writing – essays, emails, LinkedIn posts. That's not how anyone actually talks. This approach trains on the messiest, most honest version of someone's communication style. Quick replies. Half-finished thoughts. The way you actually text your friends. The result is an AI that doesn't write like a corporate version of you. It writes like you, texting at 11pm. This is what real personalization actually looks like, not a prompt that says "sound casual." Bookmark this post. Full breakdown in the video below.

45,469 просмотров • 3 месяцев назад

THIS CHINESE GUY MAKES $10,000+/MONTH FROM AN AI INFLUENCER THAT DOESN'T EXIST. HE JUST DROPPED THE FULL BLUEPRINT. Aitana Lopez. Brand deals with Victoria's Secret and Razer. 10k/month. Not a real person. He built her with 4 files and Claude Code. Here's the entire system: –> File 1: persona. md Full backstory, personality, interests, opinions, how she types, topics she never touches. Done when you can answer 20 questions about her without thinking. –> File 2: voice. md $40 voice actress from Fiverr. Clone it on ElevenLabs in 10 minutes. Real sounding voice for reels and stories. Rules for when she sends voice notes and how she sounds human. –> File 3: flux. md Pick a base face. Lock 6-8 physical descriptors. Generate 50 variations. Fine-tune a LoRA so every image is the same person. Three lighting setups for variety. ~$80 on rented GPU. –> File 4: brain. md Memory file storing every brand, follower, conversation, and content interaction. Claude Code reads all 4 files before every interaction. She never breaks character. Ever. Total setup cost: ~$120. Monthly income potential: $10,000+. The AI influencer economy is already here. Most people just haven't started yet. Bookmark this post. Full step-by-step guide is in the video below.

45,330 просмотров • 3 месяцев назад

THIS CHINESE GUY IS MAKING $8.5K/MONTH FROM BRAINROT YOUTUBE SHORTS FOR KIDS AND HIS PRODUCTION COST IS LITERALLY $0 No camera. No editing. No skills. No investment. He generates each video in minutes using Cantina and posts it. The algorithm does the rest. Here's the full workflow: –> Open Cantina AI – the best AI video generator available right now –> Pick a character from the list –> Type a prompt –> Hit generate. Video ready in minutes. –> Post on YouTube Shorts. Collect the money. Brainrot content is going viral across YouTube Shorts right now. The algorithm is pushing it aggressively. The monetization is real. $8,500 a month. Free tool. A few minutes per video. Zero production costs. He recorded the full tutorial so anyone can copy the exact process from the first video to the first paycheck. Bookmark this post. Everything is in the video below.

THIS CHINESE GUY IS MAKING $8.5K/MONTH FROM BRAINROT YOUTUBE SHORTS FOR KIDS AND HIS PRODUCTION COST IS LITERALLY $0 No camera. No editing. No skills. No investment. He generates each video in minutes using Cantina and posts it. The algorithm does the rest. Here's the full workflow: –> Open Cantina AI – the best AI video generator available right now –> Pick a character from the list –> Type a prompt –> Hit generate. Video ready in minutes. –> Post on YouTube Shorts. Collect the money. Brainrot content is going viral across YouTube Shorts right now. The algorithm is pushing it aggressively. The monetization is real. $8,500 a month. Free tool. A few minutes per video. Zero production costs. He recorded the full tutorial so anyone can copy the exact process from the first video to the first paycheck. Bookmark this post. Everything is in the video below.

47,746 просмотров • 3 месяцев назад

THIS DAD LEFT HIS 6-YEAR-OLD WITH A COMPUTER FOR A WEEK – SO HE USED GROK BOT TO BUILD A SAFE, KID-FRIENDLY COMPUTER WITHOUT OPEN INTERNET ACCESS Before leaving, he needed to give his son access to a computer without giving a six-year-old unrestricted access to the internet. So he asked his Grok bot Theo to build a kid-friendly launcher that blocks the open web and limits the computer to apps designed to encourage creativity. Theo handled the coding, testing and kept him updated while he was away. But Theo wasn’t the only AI employee working for him. Scout searches for rural properties that match his family’s criteria – enough land, plenty of trees and close enough to an airport – and messages him whenever she finds a good one. Simon handles his finances, categorizing expenses and tracking his spending because, by his own admission, that’s something he’s terrible at doing himself. And none of this required him to sit at his desk. He could be on the other side of the country and his kid’s computer would keep improving, his house search would keep running and his finances would keep getting organized. That’s the interesting shift. AI isn’t just helping him work faster. It’s keeping his life moving while he’s not there.

THIS DAD LEFT HIS 6-YEAR-OLD WITH A COMPUTER FOR A WEEK – SO HE USED GROK BOT TO BUILD A SAFE, KID-FRIENDLY COMPUTER WITHOUT OPEN INTERNET ACCESS Before leaving, he needed to give his son access to a computer without giving a six-year-old unrestricted access to the internet. So he asked his Grok bot Theo to build a kid-friendly launcher that blocks the open web and limits the computer to apps designed to encourage creativity. Theo handled the coding, testing and kept him updated while he was away. But Theo wasn’t the only AI employee working for him. Scout searches for rural properties that match his family’s criteria – enough land, plenty of trees and close enough to an airport – and messages him whenever she finds a good one. Simon handles his finances, categorizing expenses and tracking his spending because, by his own admission, that’s something he’s terrible at doing himself. And none of this required him to sit at his desk. He could be on the other side of the country and his kid’s computer would keep improving, his house search would keep running and his finances would keep getting organized. That’s the interesting shift. AI isn’t just helping him work faster. It’s keeping his life moving while he’s not there.

16,647 просмотров • 1 месяц назад

MY GROK BOT CONTENT SYSTEM JUST WENT VIRAL ON X – SO I THINK YOU NEED TO SEE WHAT'S ACTUALLY IN IT It wasn't the visual that got people. It was realizing this is already possible, today, for anyone. That's the part worth saying out loud. AI agents used to be a developer thing. You needed an API key, a server, a framework, and a weekend you weren't getting back. Grok Bot deleted all of that. You describe the job in plain language, and you have an agent that does it – with its own computer, its own browser, its own files, running whether you're at the desk or not. Which means the question stopped being can I build this and became what do I point it at. People are pointing it at everything: sales outreach, research, SEO, bookkeeping, customer replies, personal admin. This one is aimed at the thing most people say they'll start and never do – publishing consistently. It's seven agents. One in the centre, six in orbit. Here's what each one actually does. CHIEF OF STAFF – the centre. Every request lands here first, gets broken into jobs, and gets routed to whoever owns that kind of work. It chases what's late, keeps the others from duplicating each other, and surfaces exactly one thing to me when a real decision is needed. Everything else it just handles. RESEARCHER – goes out and finds what's actually moving in the niche. Reads the sources, checks the claim, drops the duplicates, and hands over a brief with links attached. Not "here's what I think" – here's what's true and where it came from. WRITER – takes that brief and writes the finished piece in my voice. Hooks, threads, captions, long-form. It's had my old posts as reference, so what comes back isn't a draft I rewrite – it's a draft I approve. VISUALISER – I fed it my reference visuals once. Now every cover, image and dashboard comes back in that exact style, without a single new instruction. This is the agent that kills the "I have the post but no visual" excuse. ANALYST – reads what actually performed. Not vanity numbers: which hook shape landed, which format died, which time slot was dead air. Then it tells the Writer and the Scheduler what to do differently. This is the loop almost every setup is missing, and it's why most of them plateau. SCHEDULER – owns timing. Holds the queue, spaces things properly, protects the calendar, and makes sure nothing ships into an empty feed at 3am. PUBLISHER – ships it. Formats per platform, posts, confirms it went out, logs it back to the Chief. The reason it holds together instead of falling apart: they share memory. The research is already sitting inside the draft before the draft starts. No copy-pasting between tools, no re-explaining context, no approving every step. And you can teach any of them a repetitive task by recording yourself doing it – start recording, do the thing, stop. I wrote the whole thing up below – every agent, what each one is told, how they hand off, and how to wire it together. Read it and you can start building this today, not "eventually" ↓

MY GROK BOT CONTENT SYSTEM JUST WENT VIRAL ON X – SO I THINK YOU NEED TO SEE WHAT'S ACTUALLY IN IT It wasn't the visual that got people. It was realizing this is already possible, today, for anyone. That's the part worth saying out loud. AI agents used to be a developer thing. You needed an API key, a server, a framework, and a weekend you weren't getting back. Grok Bot deleted all of that. You describe the job in plain language, and you have an agent that does it – with its own computer, its own browser, its own files, running whether you're at the desk or not. Which means the question stopped being can I build this and became what do I point it at. People are pointing it at everything: sales outreach, research, SEO, bookkeeping, customer replies, personal admin. This one is aimed at the thing most people say they'll start and never do – publishing consistently. It's seven agents. One in the centre, six in orbit. Here's what each one actually does. CHIEF OF STAFF – the centre. Every request lands here first, gets broken into jobs, and gets routed to whoever owns that kind of work. It chases what's late, keeps the others from duplicating each other, and surfaces exactly one thing to me when a real decision is needed. Everything else it just handles. RESEARCHER – goes out and finds what's actually moving in the niche. Reads the sources, checks the claim, drops the duplicates, and hands over a brief with links attached. Not "here's what I think" – here's what's true and where it came from. WRITER – takes that brief and writes the finished piece in my voice. Hooks, threads, captions, long-form. It's had my old posts as reference, so what comes back isn't a draft I rewrite – it's a draft I approve. VISUALISER – I fed it my reference visuals once. Now every cover, image and dashboard comes back in that exact style, without a single new instruction. This is the agent that kills the "I have the post but no visual" excuse. ANALYST – reads what actually performed. Not vanity numbers: which hook shape landed, which format died, which time slot was dead air. Then it tells the Writer and the Scheduler what to do differently. This is the loop almost every setup is missing, and it's why most of them plateau. SCHEDULER – owns timing. Holds the queue, spaces things properly, protects the calendar, and makes sure nothing ships into an empty feed at 3am. PUBLISHER – ships it. Formats per platform, posts, confirms it went out, logs it back to the Chief. The reason it holds together instead of falling apart: they share memory. The research is already sitting inside the draft before the draft starts. No copy-pasting between tools, no re-explaining context, no approving every step. And you can teach any of them a repetitive task by recording yourself doing it – start recording, do the thing, stop. I wrote the whole thing up below – every agent, what each one is told, how they hand off, and how to wire it together. Read it and you can start building this today, not "eventually" ↓

10,486 просмотров • 20 дней назад

WTF, MY COMMUNITY LAUNCHED $SCOTTY SO I BUILT THEM THE MEMECOIN VERSION OF THE DESK ABOVE – AND THIS ONE IS STAFFED BY HAMSTERS Same idea. Different battlefield. 8 hamsters in suits: → SNIPER – watches new launches and gets in during the first blocks, not after CT finds it. → WHALE WATCH – tracks the wallets that actually move the chart, and tells you the moment they leave. → RUG CHECK – mint authority, LP lock, top holders. Runs before you buy, not after. → CT SCANNER – reads crypto twitter so you don't. Flags a narrative while it's still forming → MEME LAB – turns whatever you're building into posts, threads and images, on schedule → LP GUARD – watches liquidity depth 24/7 and screams the second it thins → EXIT DESK – writes the exit plan before entry and scales out on rules, not feelings → LEDGER – logs every call you make. Your own receipts instead of your memory And the one running the floor: SCOTTY BEAM – hamster in a suit, crown, cigar. Ranks all eight and hands you one page. The two that matter most are the boring ones: RUG CHECK and EXIT DESK. Nobody blows up because they missed a coin. They blow up because they bought a rug, or never took anything off. I'm already running this exact setup on pump fun. Not a demo, not a mockup – it's live, and it's the version I use myself. And this is only the beginning.

WTF, MY COMMUNITY LAUNCHED $SCOTTY SO I BUILT THEM THE MEMECOIN VERSION OF THE DESK ABOVE – AND THIS ONE IS STAFFED BY HAMSTERS Same idea. Different battlefield. 8 hamsters in suits: → SNIPER – watches new launches and gets in during the first blocks, not after CT finds it. → WHALE WATCH – tracks the wallets that actually move the chart, and tells you the moment they leave. → RUG CHECK – mint authority, LP lock, top holders. Runs before you buy, not after. → CT SCANNER – reads crypto twitter so you don't. Flags a narrative while it's still forming → MEME LAB – turns whatever you're building into posts, threads and images, on schedule → LP GUARD – watches liquidity depth 24/7 and screams the second it thins → EXIT DESK – writes the exit plan before entry and scales out on rules, not feelings → LEDGER – logs every call you make. Your own receipts instead of your memory And the one running the floor: SCOTTY BEAM – hamster in a suit, crown, cigar. Ranks all eight and hands you one page. The two that matter most are the boring ones: RUG CHECK and EXIT DESK. Nobody blows up because they missed a coin. They blow up because they bought a rug, or never took anything off. I'm already running this exact setup on pump fun. Not a demo, not a mockup – it's live, and it's the version I use myself. And this is only the beginning.

13,087 просмотров • 29 дней назад

NOBODY IS USING GROK BOT FOR THIS AND IT MAKES NO SENSE TO ME. A FAMILY OF 4 MAKES MORE DAILY DECISIONS THAN A SMALL BUSINESS – AND RUNS THEM ALL FROM ONE PERSON'S MEMORY. I GAVE THAT MEMORY TO 9 GROK BOT AGENTS. HERE IT IS: Dad, mom, a daughter, a son. Four calendars, one fridge, one boiler, two schools, endless small decisions. The 9 agents I run the house with: → CALENDAR – one family calendar instead of four. Catches the clash before it happens: "dentist 15:00 vs football 16:30 – move one?" → MEALS – a week menu built from what's already in the fridge, then the shopping list. No 7pm "what do we even eat" panic. → BILLS – every due date, every price rise. "Energy went up 8%" and "2 subscriptions nobody has opened in 3 months." → HOMEWORK – explains, never answers. Kid gets the method, not the solution. "Try it again yourself." → HEALTH – appointments, check-ups, refills, vaccines. Books the follow-up before you forget the first one. → HOUSE – boiler service, filters, car inspection, warranties. The stuff that only becomes expensive when it's late. → SAFETY – screens, games, friend requests. Not spying, agreements: what's ok, for how long, and who asked for what. → MEMORY – documents. Passports, insurance, contracts. "Passport expires in 4 months" arrives 4 months early, not at the airport. → CHIEF OF STAFF – reads all eight and gives you ONE page every Sunday. Usually it says: nothing needs you. The part nobody says out loud: In every family there is one person quietly holding the entire household in their head. The dentist, the football kit, the boiler, the passport. Nobody sees the work – they only notice the one time it's missed. That job is not love. It's admin. And admin is exactly what agents are for. You don't need all nine on day one. Start with two: CALENDAR and MEALS. One week of no double-booked evenings and no 7pm fridge panic will convince the rest of your family faster than any explanation. Not magic – the agents organise, the family still decides. Adults sign off on anything involving money, health or the kids. Bookmark this & read more in the article below ↓

NOBODY IS USING GROK BOT FOR THIS AND IT MAKES NO SENSE TO ME. A FAMILY OF 4 MAKES MORE DAILY DECISIONS THAN A SMALL BUSINESS – AND RUNS THEM ALL FROM ONE PERSON'S MEMORY. I GAVE THAT MEMORY TO 9 GROK BOT AGENTS. HERE IT IS: Dad, mom, a daughter, a son. Four calendars, one fridge, one boiler, two schools, endless small decisions. The 9 agents I run the house with: → CALENDAR – one family calendar instead of four. Catches the clash before it happens: "dentist 15:00 vs football 16:30 – move one?" → MEALS – a week menu built from what's already in the fridge, then the shopping list. No 7pm "what do we even eat" panic. → BILLS – every due date, every price rise. "Energy went up 8%" and "2 subscriptions nobody has opened in 3 months." → HOMEWORK – explains, never answers. Kid gets the method, not the solution. "Try it again yourself." → HEALTH – appointments, check-ups, refills, vaccines. Books the follow-up before you forget the first one. → HOUSE – boiler service, filters, car inspection, warranties. The stuff that only becomes expensive when it's late. → SAFETY – screens, games, friend requests. Not spying, agreements: what's ok, for how long, and who asked for what. → MEMORY – documents. Passports, insurance, contracts. "Passport expires in 4 months" arrives 4 months early, not at the airport. → CHIEF OF STAFF – reads all eight and gives you ONE page every Sunday. Usually it says: nothing needs you. The part nobody says out loud: In every family there is one person quietly holding the entire household in their head. The dentist, the football kit, the boiler, the passport. Nobody sees the work – they only notice the one time it's missed. That job is not love. It's admin. And admin is exactly what agents are for. You don't need all nine on day one. Start with two: CALENDAR and MEALS. One week of no double-booked evenings and no 7pm fridge panic will convince the rest of your family faster than any explanation. Not magic – the agents organise, the family still decides. Adults sign off on anything involving money, health or the kids. Bookmark this & read more in the article below ↓

12,016 просмотров • 26 дней назад

HERMES DESKTOP APP JUST GOT A NEW ULTRA MODE FOR DEEPSEEK V4 PRO – AND IT COSTS ABOUT $1 A DAY TO RUN If you're using Hermes desktop app, you're probably already running DeepSeek – it's one of the top models available. The update: → DeepSeek V4 Pro now has thinking mode, fast mode, and a brand new ultra mode → There's also an extra high mode, but the real upgrade is ultra The actual cost: roughly $1/day for a normal workflow. That's about $20-25/month – basically the same as before, just with a significantly faster mode unlocked. The verdict after a full day of testing: it flies through tool calling. Noticeably faster, same price range. If you're already paying for DeepSeek through Hermes, this is a free upgrade sitting in your settings right now. Update Hermes, grab the DeepSeek API if you don't have it yet, and try V4 Pro on ultra. Bookmark this, you'll want to come back to it later.

24,032 просмотров • 2 месяцев назад