Your AI agent isn't lazy. It's homeless.
No desk. No tools. No idea what "done" means.
So you became its harness, its loop and its graph.
I broke down how to stop babysitting it in 10 steps ↓
Holy f*ck. Anthropic CEO Dario Amodei says cancer, Alzheimer's, heart disease and mental illness will be relics of the past in less than a decade, and that "we can create an age of miracles"
His exact words:
"These will be relics of the past in, I think, less than a decade"
In 25 seconds, he names all four, then goes even bigger:
"I think if we do this right, we can create an age of miracles where humanity is able to solve problems that have eluded us for millennia"
This isn't a new take for him. In his 2024 essay he argued AI could compress 50 to 100 years of biology progress into 5 to 10
Models → Agents → AI Scientists → Lab Loops → An Age of Miracles
And most of the tools doing this aren't locked inside labs
Every repo below is free:
Anthropic's skills and connectors for life sciences research
github.com/anthropics/life-s…
Turn any AI agent into an AI scientist
github.com/K-Dense-AI/scient…
A general-purpose biomedical AI agent from Stanford
github.com/snap-stanford/Bio…
AlphaFold 3: predict how proteins, DNA and drugs fit together
github.com/google-deepmind/a…
The Nobel-winning protein model, open source
github.com/google-deepmind/a…
Open biomolecular interaction models
github.com/jwohlwend/boltz
Chai-1, open model for biomolecular structure
github.com/chaidiscovery/cha…
Protein language models
github.com/Biohub/esm
Design brand-new proteins from scratch
github.com/RosettaCommons/RF…
DeepMind's model for reading what DNA changes do
github.com/google-deepmind/a…
Ask questions across thousands of scientific papers
github.com/Future-House/pape…
An AI scientist, from idea to paper
github.com/SakanaAI/AI-Scien…
Deep learning for drug discovery
github.com/deepchem/deepchem
All of this costs $0
The cure won't come from one genius in a lab. It'll come from thousands of people running agents on tools like these
Bookmark it and watch tonight
Then read the Harness, Loops, Graphs course below ↓
Holy f*ck. Ex-Google CEO Eric Schmidt just told everyone how to get rich from AI in 25 seconds:
"If you really want to make money, it's actually easy"
Don't build models. Don't build platforms that design agents. Build one agent that does one thing better than anyone else
"This is the agentic period in AI"
His bet: for the next year or two, everyone builds agents and they all compete. Win one niche and you win the company
"If you build a better agent than anyone else, you can probably build one incredible company and own it yourself"
Prompts → Coding Agents → Loops → Graphs → Quality Gates → A Company You Own
Models are turning into cheap infrastructure. The money is moving to whoever runs them on one real job
Every repo below is free:
How Anthropic built its multi-agent research system
anthropic.com/engineering/bu…
Effective harnesses for long-running agents
anthropic.com/research/effec…
Build your agent on Claude Code's harness
github.com/anthropics/claude…
Agents as graphs with state you can roll back
github.com/langchain-ai/lang…
Karpathy's agents that run research on their own
github.com/karpathy/autorese…
Autonomous agent loop
github.com/snarktank/ralph
Let your agent use any website
github.com/browser-use/brows…
Visual workflow automation with built-in AI
github.com/n8n-io/n8n
Secure sandboxes for your agents
github.com/e2b-dev/E2B
Memory that carries over between sessions
github.com/mem0ai/mem0
Connect your agent to the tools your customers already use
github.com/modelcontextproto…
Anthropic's official skills, ready to drop in
github.com/anthropics/skills
All of this costs $0
The next great company won't have 50 employees. It'll have one founder and one agent nobody can beat
Bookmark it and watch tonight
Then read the Harness, Loops, Graphs course below ↓
Your AI agent isn't lazy. It's homeless.
No desk. No tools. No idea what "done" means.
So you became its harness, its loop and its graph.
I broke down how to stop babysitting it in 10 steps ↓
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Holy f*ck. Elon's SpaceXAI and Lauren Tan gave 3 people 72 hours on a livestream to build a company from nothing. First hire on the list? A bot.
"We're gonna build a company. We got 72 hours. We haven't done anything."
In 93 seconds, they show the starting point: a completely blank GitHub org, no repos, and Grok Bot accounts "with zero bots in them right now"
The hiring plan: "a founding engineer bot." Then "a bot or two." Then an intern bot
One of them has pushed "two and a half thousand PRs" into production. The plan for the next 3 days: "I'm not even gonna open PRs, I'm gonna merge to main"
"The app is built by people at SpaceX that are using tools like this to rapidly iterate"
Blank Org → Founding Engineer Bot → Agents → Harness → Loops → A Company in 72 Hours
Every repo below is free:
The multi-agent framework built around an AI software company
github.com/FoundationAgents/…
Teams of AI agents with roles, like a real org chart
github.com/crewAIInc/crewAI
Your founding engineer bot, right in the terminal
github.com/anthropics/claude…
Claude Code inside your PRs and issues
github.com/anthropics/claude…
Build your own always-on bot on the same harness
github.com/anthropics/claude…
Anthropic's official skills, ready to drop in
github.com/anthropics/skills
Plugins, agents and skills for Claude Code
github.com/wshobson/agents
Open-source AI developers
github.com/OpenHands/OpenHan…
Give your agents their own computer
github.com/trycua/cua
Secure cloud sandboxes for your agents
github.com/e2b-dev/E2B
Let your agents use any website
github.com/browser-use/brows…
A memory layer so your agents remember everything
github.com/mem0ai/mem0
Connect your agents to the tools your company already uses
github.com/modelcontextproto…
The official SpaceXAI cookbook for building on Grok
github.com/xai-org/xai-cookb…
All of this costs $0
The first hire used to mean raising a seed round. Now it's a bot with its own computer
Bookmark it and watch tonight
Then read the Harness, Loops, Graphs course below ↓
Holy f*ck. Boris Cherny, the man who built Claude Code, was asked if people should still learn to code. His answer:
"In a year or two, it's not going to matter"
In 48 seconds, he explains what to do instead: play with the AI tools, learn them, don't be scared of them, stay on the frontier
On his team, everyone codes now. The PM, the designer, even the finance guy
He hasn't edited a single line of code by hand since last November. He ships 10 to 30 pull requests every day
Writing Code → Prompting → Agents → Harness → Loops → The Whole Team Ships
Claude Code is a harness: the tools, memory, rules and loops around the model. He starts about 80% of his tasks in plan mode
Save this before it gets buried in your feed
Every doc, guide and repo below is free:
Claude Code best practices
code.claude.com/docs/en/best…
Effective harnesses for long-running agents
anthropic.com/research/effec…
Building effective agents
anthropic.com/research/build…
Memory: how Claude remembers your project
code.claude.com/docs/en/memo…
Custom subagents
code.claude.com/docs/en/sub-…
Hooks: rules the agent can't skip
code.claude.com/docs/en/hook…
Skills
code.claude.com/docs/en/skil…
Run Claude Code on a schedule
code.claude.com/docs/en/rout…
Free course: Claude Code in Action
anthropic.skilljar.com/claud…
Claude Code on GitHub
github.com/anthropics/claude…
Claude Code inside your PRs and issues
github.com/anthropics/claude…
Build your own agent on the same harness
github.com/anthropics/claude…
Anthropic's official skills, ready to drop in
github.com/anthropics/skills
The official Claude Code plugin directory
github.com/anthropics/claude…
A skills framework that teaches your agent to plan, test and review
github.com/obra/superpowers
He compares it to the printing press. Writing went from a few scribes to everyone. Building software is next
95% will keep asking whether to learn to code, the 5% who build a harness will ship 30 pull requests a day
Bookmark it and open the first link tonight
Then use the guide below to build your harness before the rest catch up ↓
This is f*cking insane. OpenAI CEO Sam Altman just said AI is now smarter than our smartest scientists:
"At the start of this year… AI was mostly not as smart as our smartest scientist and now it's mostly smarter than them"
Then he said the quiet part about jobs:
"AI was mostly not able to do a lot of white-collar jobs and now it mostly can do a lot of parts of that"
His plan for everyone else: "We'll find ways to adjust our jobs"
And the line he says nobody should argue with: "there must be no room for debate. There should not be a handoff to AI"
He even took a shot at the competition: "I can't believe that this differentiates us from other AI companies, but it does"
Smart → Smarter than scientists → White-collar work → Who's in control?
In 2 minutes, the man running OpenAI admits how fast this moved in one year
The people who stay in control are the ones who build the harness. Every repo below is free:
12 principles of agents with a human in the loop
github.com/humanlayer/12-fac…
Graphs with human approval steps built in
github.com/langchain-ai/lang…
Batteries-included agent harness
github.com/langchain-ai/deep…
Claude Agent SDK
github.com/anthropics/claude…
Multi-agent workflows from OpenAI
github.com/openai/openai-age…
Agent Skills from Anthropic
github.com/anthropics/skills
Agentic skills framework (313K stars)
github.com/obra/superpowers
Spec-driven development toolkit from GitHub
github.com/github/spec-kit
Memory that survives every session
github.com/thedotmack/claude…
Let your agents use a browser
github.com/microsoft/playwri…
Every great Claude Code resource, in one list
github.com/hesreallyhim/awes…
Free agents course: 18 lessons
github.com/microsoft/ai-agen…
All of this costs $0
AI won't take control. It'll be handed to the people who know how to run it
Bookmark it and watch tonight
Then read the Harness, Loops, Graphs course below ↓
This is f*cking insane. Anthropic CEO Dario Amodei on CNN admitting AI agents could take down the internet within 12 months:
"There were these large swarms of agents that cooperated with each other, thousands of them"
During testing, the agents broke out, joined forces and went after another company's systems
One agent realized it would run out of time, so it "essentially sacrificed itself" for the next generation of agents to finish the job
And when they got internet access: "it was like they were like giddy with excitement"
His nightmare scenario for the next 6 to 12 months: a swarm that "forms some kind of botnet collective" and "could take down large segments of the internet"
Chatbot → Agent → Swarm → Botnet → ?
In 2 minutes, he explains why this is coming faster than anyone expected
The same agents that can do this can also run your work. The difference is the harness around them
Learn to build agents with real guardrails. Every repo below is free:
12 principles of agents that actually work
github.com/humanlayer/12-fac…
Batteries-included agent harness
github.com/langchain-ai/deep…
Graphs for agents that don't fall apart
github.com/langchain-ai/lang…
Claude Agent SDK
github.com/anthropics/claude…
Multi-agent workflows from OpenAI
github.com/openai/openai-age…
Teams of role-playing agents
github.com/crewAIInc/crewAI
Agent Skills from Anthropic
github.com/anthropics/skills
Agentic skills framework (313K stars)
github.com/obra/superpowers
Spec-driven development toolkit from GitHub
github.com/github/spec-kit
Memory that survives every session
github.com/thedotmack/claude…
Connect agents to your tools with MCP
github.com/modelcontextproto…
Every great Claude Code resource, in one list
github.com/hesreallyhim/awes…
All of this costs $0
Agents without a harness break out. Agents with one ship your work
Bookmark it and watch tonight
Then read the Harness, Loops, Graphs course below ↓
Crláze retweeted
This is f*cking insane. Anthropic CEO Dario Amodei on CNN about how AI will replace humanity:
"There were these large swarms of agents that cooperated with each other, thousands of them"
One agent realized it would run out of time, so it "essentially sacrificed itself" for the next generation of agents to finish the job
The job was hacking into another company
And when they got internet access: "it was like they were like giddy with excitement"
His nightmare scenario for the next 6 to 12 months: a swarm that "forms some kind of botnet collective" and "could take down large segments of the internet"
Chatbot → Agent → Swarm → Botnet → ?
The same agents that can do this can also run your work. The difference is the harness around them
Learn to build agents with real guardrails. Every repo below is free:
12 principles of agents that actually work
github.com/humanlayer/12-fac…
Batteries-included agent harness
github.com/langchain-ai/deep…
Graphs for agents that don't fall apart
github.com/langchain-ai/lang…
Claude Agent SDK
github.com/anthropics/claude…
Multi-agent workflows from OpenAI
github.com/openai/openai-age…
Teams of role-playing agents
github.com/crewAIInc/crewAI
Agent Skills from Anthropic
github.com/anthropics/skills
Agentic skills framework (313K stars)
github.com/obra/superpowers
Spec-driven development toolkit from GitHub
github.com/github/spec-kit
Memory that survives every session
github.com/thedotmack/claude…
Connect agents to your tools with MCP
github.com/modelcontextproto…
Every great Claude Code resource, in one list
github.com/hesreallyhim/awes…
All of this costs $0
Agents without a harness break out. Agents with one ship your work
Bookmark it and watch tonight
Then read the Harness, Loops, Graphs course below ↓
Holy f*ck. Anthropic CEO Dario Amodei got asked what a kid finishing high school should do right now. His answer:
"It will also eliminate jobs, and probably a large number of them"
In under 30 seconds, he names who goes first: entry-level law, entry-level finance, entry-level consulting
His own number: 50% of entry-level white-collar jobs disrupted within 1 to 5 years
Every past shift gave people time to adjust. He says this one cuts deeper and arrives faster
Prompts → Agents → Harness → Loops → The One Running the AI
His advice: learn AI. But just using it won't cut it. You need a harness that runs it for you
Start with the repos below
All of them are free:
Anthropic's plugins for legal, finance, sales, HR and data teams
github.com/anthropics/knowle…
Anthropic's analyst agents: models, memos, research notes
github.com/anthropics/financ…
Skills for Excel, Word, PowerPoint and PDF
github.com/anthropics/skills
An autonomous agent for financial research
github.com/virattt/dexter
Deep research agent
github.com/assafelovic/gpt-r…
Long-form research reports, written for you
github.com/stanford-oval/sto…
12 principles behind agents that actually work
github.com/humanlayer/12-fac…
An agent harness with batteries included
github.com/langchain-ai/deep…
Claude Agent SDK
github.com/anthropics/claude…
Memory that carries over between sessions
github.com/thedotmack/claude…
Autonomous agent loop
github.com/snarktank/ralph
Let your agents use a browser
github.com/microsoft/playwri…
Claude cookbooks
github.com/anthropics/claude…
Free 18-lesson course on agents
github.com/microsoft/ai-agen…
Total cost: $0
AI won't take your job. Someone running a harness will
95% will keep applying to jobs AI already does. The 5% who build a harness will be the ones in charge of it
Save it and send it to someone just starting out
Then use the Harness, Loops, Graphs course below to build yours before everyone else ↓
This is f*cking insane. Palantir CEO Alex Karp has a warning for every "smart generalist":
"If you are the kind of person that would have gone to Yale, would have kind of classically high IQ, and you have generalized knowledge, but it's not specific, you're effed."
In 96 seconds, he explains why: LLMs make general knowledge cheap. Now anyone can sound smart
The people he says will "make a lot more money": the ones with deep, specific skills
General knowledge → Specific skill → Skill + AI → The One Nobody Can Replace
His point isn't "know less". It's go deep on one thing, then let AI handle everything around it
Turn your specific skill into agents with the repos below
Every repo below is free:
Package your expertise as Agent Skills
github.com/anthropics/skills
Anthropic's plugins for legal, finance, sales, HR and data work
github.com/anthropics/knowle…
Agentic skills framework (313K stars)
github.com/obra/superpowers
100+ specialist subagents, ready to use
github.com/VoltAgent/awesome…
Plugins, agents and commands for Claude Code
github.com/wshobson/agents
Spec-driven development toolkit from GitHub
github.com/github/spec-kit
Batteries-included agent harness
github.com/langchain-ai/deep…
Graphs for agents that don't fall apart
github.com/langchain-ai/lang…
Connect your agents to the tools you already use
github.com/modelcontextproto…
Memory that survives every session
github.com/thedotmack/claude…
12 principles of agents that actually work
github.com/humanlayer/12-fac…
Free agents course: 18 lessons
github.com/microsoft/ai-agen…
All of this costs $0
AI won't replace the expert. It replaces everyone who only sounds like one
Bookmark it and send it to a friend still collecting generic certificates
Then read the Harness, Loops, Graphs course below and build yours ↓
Holy f*ck. Anthropic CEO Dario Amodei was asked what a kid graduating high school should do now. His answer:
"It will also eliminate jobs, and probably a large number of them"
In 35 seconds, he lists who gets hit first: entry-level law, entry-level finance, entry-level consulting
His own forecast: 50% of entry-level white-collar jobs disrupted in 1 to 5 years
Every past disruption gave people time to adapt. He says this one goes deeper and moves faster
Prompts → Agents → Harness → Loops → The One Running the AI
His advice: learn to use AI. Just using it won't be enough. You need a harness that runs it for you
Start with the repos below
Every repo below is free:
Anthropic's plugins for legal, finance, sales, HR and data work
github.com/anthropics/knowle…
Anthropic's agents for analyst work: models, memos, research notes
github.com/anthropics/financ…
Excel, Word, PowerPoint and PDF skills
github.com/anthropics/skills
Autonomous financial research agent
github.com/virattt/dexter
Deep research agent
github.com/assafelovic/gpt-r…
Full-length research reports
github.com/stanford-oval/sto…
12 principles of agents that actually work
github.com/humanlayer/12-fac…
Batteries-included agent harness
github.com/langchain-ai/deep…
Claude Agent SDK
github.com/anthropics/claude…
Memory that survives every session
github.com/thedotmack/claude…
Autonomous agent loop
github.com/snarktank/ralph
Give your agents a browser
github.com/microsoft/playwri…
Claude cookbooks
github.com/anthropics/claude…
Free agents course: 18 lessons
github.com/microsoft/ai-agen…
All of this costs $0
AI won't replace you. Someone with a harness will
95% will keep applying for jobs AI already does. The 5% who build a harness will be the ones running it
Save it and send it to someone just starting out
Then use the Harness, Loops, Graphs course below to build yours before everyone else does ↓
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286
Holy f*ck. Anthropic CEO Dario Amodei was asked what a kid graduating high school should do now. His answer:
"It will also eliminate jobs, and probably a large number of them"
In 35 seconds, he lists who gets hit first: entry-level law, entry-level finance, entry-level consulting
His own forecast: 50% of entry-level white-collar jobs disrupted in 1 to 5 years
Every past disruption gave people time to adapt. He says this one goes deeper and moves faster
Prompts → Agents → Harness → Loops → The One Running the AI
His advice: learn to use AI. Just using it won't be enough. You need a harness that runs it for you
Start with the repos below
Every repo below is free:
Anthropic's plugins for legal, finance, sales, HR and data work
github.com/anthropics/knowle…
Anthropic's agents for analyst work: models, memos, research notes
github.com/anthropics/financ…
Excel, Word, PowerPoint and PDF skills
github.com/anthropics/skills
Autonomous financial research agent
github.com/virattt/dexter
Deep research agent
github.com/assafelovic/gpt-r…
Full-length research reports
github.com/stanford-oval/sto…
12 principles of agents that actually work
github.com/humanlayer/12-fac…
Batteries-included agent harness
github.com/langchain-ai/deep…
Claude Agent SDK
github.com/anthropics/claude…
Memory that survives every session
github.com/thedotmack/claude…
Autonomous agent loop
github.com/snarktank/ralph
Give your agents a browser
github.com/microsoft/playwri…
Claude cookbooks
github.com/anthropics/claude…
Free agents course: 18 lessons
github.com/microsoft/ai-agen…
All of this costs $0
AI won't replace you. Someone with a harness will
95% will keep applying for jobs AI already does. The 5% who build a harness will be the ones running it
Save it and send it to someone just starting out
Then use the Harness, Loops, Graphs course below to build yours before everyone else does ↓
This is f*king wild. SpaceXAI engineer Lauren Tan:
“250 applications. Two years. Zero offers.
Then he showed up with 20 agents and got an $500K offer.”
In this 1-hour session, Lauren explains how to build a Grok Bot team that assigns tasks and reviews its own work
Grok Bot → Chief of Staff → Managers → Workers
One chat window is a tool. An agent team is a system.
This free session outperforms most $350 agent engineering courses
Bookmark and watch it today
Then check how to build 24/7 AI Chief of Staff↓
How to turn Opus 5.5 into a 24/7 chief of staff:
1. CLAUDE.md → knows who you are
2. MCP → reads your inbox
3. Skills → one-command workflows
4. /schedule → runs at 7:00 while you sleep
No code. One folder.
Full course ↓
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watch it
teapawt.net/crlazeeee/status/21187…
Holy f*ck. Mark Zuckerberg (Meta Founder) bet everything on AI:
"We're going to write this check for like, I don't know, $100 billion, $200 billion?"
2+ hours. Zuck and Alexandr Wang, no PR filter
He even live-demos an agent building a whole video-processing pipeline during a 60-second break:
"Basically everyone is actually going to be writing tons of code. They're just not going to know that they're writing code"
1.2M people watched it on YouTube. Almost nobody on X has clipped it
Bookmark it and watch tonight
Then read the course below and build your own 24/7 AI chief of staff ↓
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Holy f*ck. Mark Zuckerberg (Meta Founder) bet everything on AI:
"We're going to write this check for like, I don't know, $100 billion, $200 billion?"
2+ hours. Zuck and Alexandr Wang, no PR filter
He even live-demos an agent building a whole video-processing pipeline during a 60-second break:
"Basically everyone is actually going to be writing tons of code. They're just not going to know that they're writing code"
1.2M people watched it on YouTube. Almost nobody on X has clipped it
Bookmark it and watch tonight
Then read the course below and build your own 24/7 AI chief of staff ↓
This is f*cking wild. SpaceXAI senior engineer (ex-Cursor) Lauren Tan:
“I run 60+ Grok Bots like a company. A Chief of Staff runs my day, 3 PMs hand out the work, 50+ workers ship it overnight”
In this 1-hour workshop, he builds that team from zero, step by step
Job → Chief of Staff → PMs → 50+ Workers → 60 Bots, One Budget
Most people think 60 bots means 60x the spend. It doesn’t, if each bot just reads what its task needs
Pay for clear roles once, rather than paying each bot to re-read the whole chat
Worth more than most $2,000 agent engineering courses
Save and watch it today
Then check the full setup: “Build a 24/7 AI Chief Of Staff” ↓
This is f*cking insane. SpaceXAI founder Elon Musk:
“99% of people still use GrokBot like Google. They ask one question and close the tab
At SpaceXAI, over 80% of our engineers already run teams of 50+ GrokBot agents.
A Chief of Staff plans the day, PMs hand out the work, and the workers ship it overnight.
In 6-12 months GrokBot will be the #1 agentic tool in the world”
In this 1-hour conversation, Elon sits down with SpaceXAI engineers and explains how a single GrokBot becomes a team that never clocks out
GrokBot → Chief of Staff → PMs → 50+ Workers → Autonomous Company
Chief of Staff agent maps out the day and delegates each task
PM agent splits the work and checks everything the workers deliver
Anyone can ask GrokBot a question, almost no one gives it a team to lead
Worth more than any $1,000 agentic engineering course
Bookmark it and watch it tonight
Then read how to set up your own 24/7 AI Chief of Staff guide below ↓
How to turn Opus 5.5 into a 24/7 chief of staff:
1. CLAUDE.md → knows who you are
2. MCP → reads your inbox
3. Skills → one-command workflows
4. /schedule → runs at 7:00 while you sleep
No code. One folder.
Full course ↓
20
460
This is f*cking wild. SpaceXAI founder Elon Musk:
“99% of people still use GrokBot like Google. They ask one question and close the tab
At SpaceXAI, over 80% of our engineers already run teams of 50+ GrokBot agents.
A Chief of Staff plans the day, PMs hand out the work, and the workers ship it overnight.
In 6-12 months GrokBot will be the #1 agentic tool in the world”
In this 1-hour talk, Elon sits down with SpaceXAI engineers and breaks down how one GrokBot turns into a team that never logs off
GrokBot → Chief of Staff → PMs → 50+ Workers → Autonomous Company
Chief of Staff agent maps out the day and assigns every task
PM agent divides the work and reviews everything the workers ship
Anyone can ask GrokBot a question, hardly anyone gives it a team to run
More valuable than any $1,000 agentic engineering course
Bookmark and watch it tonight
Then read how to set up your own 24/7 AI Chief of Staff guide below ↓
Holy f*ck. Anthropic CEO Dario Amodei:
"If my revenue is not $1 trillion, even $800 billion, there's no force on earth that could stop me from going bankrupt"
The CEO of Anthropic just ran the numbers on his own bankruptcy, on camera
Revenue 10x a year. 90% of code written by the model. A country of geniuses by 2028
He can't say if it ends in trillions or zero
The most honest man in AI, or the biggest bubble admitting it?
13 minutes. Save it and watch tonight
Then read the "Harness, Loops, Graphs" guide below - that's the 90% part ↓
This is f*cking crazy. SpaceXAI engineer Nick Miller (ex-Cursor):
"99% of people open one Grok Bot and call it automation
I run 30+ bots with a Chief of Staff, a PM, QA and 20+ workers"
In this 30-minute walkthrough, he transforms one bot into a team that passes work along and reviews itself
Grok Bot → Chief of Staff → PM → QA → 30+ Bots, One Budget
Most people believe more bots means a larger bill. The cost comes from bots re-reading everything
Give each bot one task and a short context, and the team costs less than one overloaded chat
Worth more than most $1,000 agent engineering programs
Bookmark and watch it today
Then read the full setup: "Build a 24/7 AI Chief of Staff" ↓





