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this GitHub README is where the $5k AI OS starts one CLI > Drive > Gmail > Calendar > Docs > Sheets Claude Code stops being a chat box and starts touching the actual business. that is what clients buy. they buy the moment Google Workspace becomes executable. one...

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12,602 views • 1 month ago •via X (Twitter)

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AGENCIES ARE CHARGING $50,000 FOR HEAVY, CLUNKY AUTOMATION, WHILE SOLO OPERATORS ARE SELLING THE SAME OUTCOME FOR $5k AND BUILDING IT IN JUST 3 HOURS Most people think building an AI agency requires an expensive stack of tools like n8n, Make, and Zapier to justify high monthly retainers They spend weeks pitching and designing overly complex “spaghetti” workflows for clients In reality, the better approach is to build an AI Operating System directly in VS Code using local Markdown files The cost gap is insane. You pay $20/month for a Claude account and spend a few hours wiring up ClickUp and Google Workspace APIs Then you package that same architecture as a $5k one-time setup and a $2k monthly retainer Right now, founders are paying $15k + for enterprise AI setups that a single operator can build with almost zero overhead And if you want a practical AI OS playbook, I’ve attached an article below Save this post and the article so you can come back later and learn how to build a full AI operating system in just 3 hours
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AGENCIES ARE CHARGING $50,000 FOR HEAVY, CLUNKY AUTOMATION, WHILE SOLO OPERATORS ARE SELLING THE SAME OUTCOME FOR $5k AND BUILDING IT IN JUST 3 HOURS Most people think building an AI agency requires an expensive stack of tools like n8n, Make, and Zapier to justify high monthly retainers They spend weeks pitching and designing overly complex “spaghetti” workflows for clients In reality, the better approach is to build an AI Operating System directly in VS Code using local Markdown files The cost gap is insane. You pay $20/month for a Claude account and spend a few hours wiring up ClickUp and Google Workspace APIs Then you package that same architecture as a $5k one-time setup and a $2k monthly retainer Right now, founders are paying $15k + for enterprise AI setups that a single operator can build with almost zero overhead And if you want a practical AI OS playbook, I’ve attached an article below Save this post and the article so you can come back later and learn how to build a full AI operating system in just 3 hours

Bonsai 🌳

10,885 views • 1 month ago

Wait did anyone catch this? Supabase just dropped Agent Skills. Your AI agent stops guessing CLI commands. Starts respecting RLS. Builds on Supabase the way Supabase is meant to be built on Claude Code. Codex. Cursor. One command, every agent. npx skills add supabase/agent-skills
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Wait did anyone catch this? Supabase just dropped Agent Skills. Your AI agent stops guessing CLI commands. Starts respecting RLS. Builds on Supabase the way Supabase is meant to be built on Claude Code. Codex. Cursor. One command, every agent. npx skills add supabase/agent-skills

Sam Rome

11,865 views • 1 month ago

A personal AI knowledge base works great for one person. The moment it becomes a team workflow, the personal vault starts to break. Our demo shows what the fix looks like. A shared company brain in Box where a founder updates a product decision, an engineer applies it via Claude Code, and a customer success lead generates an onboarding guide via MCP. All from the same governed source of truth. Agents become the reasoning layer. Box becomes the governed memory layer. Watch here. 👇
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A personal AI knowledge base works great for one person. The moment it becomes a team workflow, the personal vault starts to break. Our demo shows what the fix looks like. A shared company brain in Box where a founder updates a product decision, an engineer applies it via Claude Code, and a customer success lead generates an onboarding guide via MCP. All from the same governed source of truth. Agents become the reasoning layer. Box becomes the governed memory layer. Watch here. 👇

Box

3,580,408 views • 1 month ago

Kay Zhu is the co-founder and CTO of Genspark, the all-in-one AI workspace built on Claude. In a market moving this fast, where anyone can build, he thinks the team is what makes the difference:
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Kay Zhu is the co-founder and CTO of Genspark, the all-in-one AI workspace built on Claude. In a market moving this fast, where anyone can build, he thinks the team is what makes the difference:

Claude

345,093 views • 1 month ago

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Gemini CLI extension for Google Workspace ✨ 📝- Read, edit, and write Google Docs 📨- Send and filter through emails 📅- Schedule meetings with Google Calendar 📊- Analyze and crunch data with Google Sheets Feel like this one is under the radar... so powerful in your terminal!

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One of the codefendants in the xxxtentacion case reveals they took his bag with $50,000 in it…. He only got paid $5K while the other 3 split $15,000 of it.
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One of the codefendants in the xxxtentacion case reveals they took his bag with $50,000 in it…. He only got paid $5K while the other 3 split $15,000 of it.

SAY CHEESE! 👄🧀

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Today we're open sourcing a technical preview of the GitHub Copilot CLI SDK. Build agents with custom tools in Go, Python, TypeScript, and C#. Built on the same agent loop that powers the Copilot CLI and GitHub Coding Agent. Supports BYOK, and any model. Here is the Copilot CLI driving Excel:
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Today we're open sourcing a technical preview of the GitHub Copilot CLI SDK. Build agents with custom tools in Go, Python, TypeScript, and C#. Built on the same agent loop that powers the Copilot CLI and GitHub Coding Agent. Supports BYOK, and any model. Here is the Copilot CLI driving Excel:

Evan Boyle

184,432 views • 5 months ago

run AI agents in one line of CLI command 🤯 you can run tool-calling AI agents or web automation agents through CLI in smolagents get started as easily as $ webagent {prompt} in CLI tool-calling agent and more details on the next one ⬇️
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merve

35,905 views • 1 year ago

20-YEAR-OLD GUY SHOWS HOW CLAUDE API CAN TURN 500-VIEW CONTENT INTO A $40K/MONTH CLIENT WORKFLOW Not from a big agency. Not from hiring writers. Just taking the same service people sell every week and wiring Claude API into the boring middle. A topic goes in. It pulls the research, angles, outline, draft, edits, and a clean file. That is normally $500-$1,500 of freelance work per client project. The screen says around $40K/month, but the real number is the time saved. A $3K project stops being 8 hours of rewriting and becomes 45 minutes of checking before delivery. Most people use Claude to write one answer. He is showing what happens when the whole process becomes the product.
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20-YEAR-OLD GUY SHOWS HOW CLAUDE API CAN TURN 500-VIEW CONTENT INTO A $40K/MONTH CLIENT WORKFLOW Not from a big agency. Not from hiring writers. Just taking the same service people sell every week and wiring Claude API into the boring middle. A topic goes in. It pulls the research, angles, outline, draft, edits, and a clean file. That is normally $500-$1,500 of freelance work per client project. The screen says around $40K/month, but the real number is the time saved. A $3K project stops being 8 hours of rewriting and becomes 45 minutes of checking before delivery. Most people use Claude to write one answer. He is showing what happens when the whole process becomes the product.

Gipp 🦅

19,254 views • 1 month ago

The GitHub Copilot SDK is here 🙌 You can take the same Copilot agentic core that powers GitHub Copilot CLI and embed it in any application, with just a few lines of code.
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The GitHub Copilot SDK is here 🙌 You can take the same Copilot agentic core that powers GitHub Copilot CLI and embed it in any application, with just a few lines of code.

GitHub

299,749 views • 5 months ago

THIS GUY SPENT 5 MINUTES SETTING UP A $20 CLAUDE WORKSPACE AND TURNED 30 MINUTES OF DAILY PROMPT CHAOS INTO A SYSTEM Most people open Claude, type 1 messy prompt, rewrite it 10 times, get the same generic answer and call the model “bad.” He opens Claude Cowork, adds the project rules, past context, working files, examples, decisions and a clean place for the model to remember what it is doing. Same Claude. Same $20 tool. Completely different output. The funny part is there is no magic prompt here. No secret template. No “10x Claude” trick. Just the boring layer Karpathy keeps pointing at: context, memory and structure before output. A setup like this can save 30 minutes a day, which is 15 hours a month. If you use Claude for client work at $50 to $100/hour, that is $750 to $1,500/month in time you stop burning on repeated prompts. The model is real. The output is real. The edge is in not making Claude start from zero every single time.
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THIS GUY SPENT 5 MINUTES SETTING UP A $20 CLAUDE WORKSPACE AND TURNED 30 MINUTES OF DAILY PROMPT CHAOS INTO A SYSTEM Most people open Claude, type 1 messy prompt, rewrite it 10 times, get the same generic answer and call the model “bad.” He opens Claude Cowork, adds the project rules, past context, working files, examples, decisions and a clean place for the model to remember what it is doing. Same Claude. Same $20 tool. Completely different output. The funny part is there is no magic prompt here. No secret template. No “10x Claude” trick. Just the boring layer Karpathy keeps pointing at: context, memory and structure before output. A setup like this can save 30 minutes a day, which is 15 hours a month. If you use Claude for client work at $50 to $100/hour, that is $750 to $1,500/month in time you stop burning on repeated prompts. The model is real. The output is real. The edge is in not making Claude start from zero every single time.

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14,871 views • 1 month ago

Love this re-imagining of America’s founding using Docs, Gmail, Calendar and more from Google Workspace. Really puts the history in version history :)
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Love this re-imagining of America’s founding using Docs, Gmail, Calendar and more from Google Workspace. Really puts the history in version history :)

Sundar Pichai

3,790,849 views • 6 days ago

how to use openclaw to spin up 24/7 digital employees and build cash-flowing assets: 1. spin up openclaw (mac mini, vm, orgo, whatever) in a workspace so you can run 5–10 machines at once (main agent + sub-agents) 2. pick one boring workflow inside one industry (distributors, real estate, insurance, law firms) 3. map the workflow tip-to-tail (email/trigger → legacy software clicks → downloads → parsing → upload to crm) 4. use claude code to build the “under the hood” python pipeline (openclaw becomes the operator + trigger, code does the heavy lifting) 5. productize it as a repeatable bundle: “setup + 30 days management + new workflows each week” 6. use upwork as the lead source and the sandbox (it tells you what people pay for right now) 7. turn the best-paying workflow into a vertical workspace: 20 skills, 8 sub-agents, one invite link 8. sell it to bigger companies as “ai employees for this department” (with clear outcomes + SLA) "BuT yoU cAn'T bUiLD a BiG coMpaNY dOInG uPwoRk deAls" think about it like this “how does a $1k automation gig turn into a big company deal?” like this: 1. upwork gives you paid reps + proof someone pays for the workflow 2. those reps become case studies (“saved 12 hrs/week”, “uploaded 5k records/day”, “reduced ops errors by 80%”) 3. you stack 5–10 workflows in the same vertical 4. now you’re selling a package and not a one off deal which is tough 5. bigco buys packages because procurement 6. understands scopes + outcomes openclaw is the wrapper. claude code is the factory. sub agents/skills are the workforce. the vertical bundle is the product. episode is live on The Startup Ideas Podcast (SIP) 🧃 i will never gatekeep i want to see you win in this openclawed world i am rooting for you watch.
52:03

how to use openclaw to spin up 24/7 digital employees and build cash-flowing assets: 1. spin up openclaw (mac mini, vm, orgo, whatever) in a workspace so you can run 5–10 machines at once (main agent + sub-agents) 2. pick one boring workflow inside one industry (distributors, real estate, insurance, law firms) 3. map the workflow tip-to-tail (email/trigger → legacy software clicks → downloads → parsing → upload to crm) 4. use claude code to build the “under the hood” python pipeline (openclaw becomes the operator + trigger, code does the heavy lifting) 5. productize it as a repeatable bundle: “setup + 30 days management + new workflows each week” 6. use upwork as the lead source and the sandbox (it tells you what people pay for right now) 7. turn the best-paying workflow into a vertical workspace: 20 skills, 8 sub-agents, one invite link 8. sell it to bigger companies as “ai employees for this department” (with clear outcomes + SLA) "BuT yoU cAn'T bUiLD a BiG coMpaNY dOInG uPwoRk deAls" think about it like this “how does a $1k automation gig turn into a big company deal?” like this: 1. upwork gives you paid reps + proof someone pays for the workflow 2. those reps become case studies (“saved 12 hrs/week”, “uploaded 5k records/day”, “reduced ops errors by 80%”) 3. you stack 5–10 workflows in the same vertical 4. now you’re selling a package and not a one off deal which is tough 5. bigco buys packages because procurement 6. understands scopes + outcomes openclaw is the wrapper. claude code is the factory. sub agents/skills are the workforce. the vertical bundle is the product. episode is live on The Startup Ideas Podcast (SIP) 🧃 i will never gatekeep i want to see you win in this openclawed world i am rooting for you watch.

GREG ISENBERG

241,383 views • 4 months ago

The Box CLI turns Box into a cloud file system for agents. In our demo, Claude Code uses it to: → extract metadata from docs → write it back to files → generate a summary spreadsheet All via simple prompts, directly in Box. npm install --global @box/cli
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The Box CLI turns Box into a cloud file system for agents. In our demo, Claude Code uses it to: → extract metadata from docs → write it back to files → generate a summary spreadsheet All via simple prompts, directly in Box. npm install --global @box/cli

Box

720,513 views • 3 months ago

New Release: Claudex Mode For the first time in mankind claude code and codex will be on the same team On the Blackbox CLI you can send the same task for Claude Code to implement and Codex to verify and test. You can choose more ways where they can collaborate on the same task to get the highest level of performance on your tasks
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New Release: Claudex Mode For the first time in mankind claude code and codex will be on the same team On the Blackbox CLI you can send the same task for Claude Code to implement and Codex to verify and test. You can choose more ways where they can collaborate on the same task to get the highest level of performance on your tasks

BLACKBOX AI

304,664 views • 4 months ago

Introducing the Firecrawl Skill + CLI for Agents 🔥 Agents like Claude Code, Codex, and OpenCode need live quality context from the web. The CLI pulls web content to local files with bash-powered search for the highest token efficiency. $ npx skills add firecrawl/cli
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Introducing the Firecrawl Skill + CLI for Agents 🔥 Agents like Claude Code, Codex, and OpenCode need live quality context from the web. The CLI pulls web content to local files with bash-powered search for the highest token efficiency. $ npx skills add firecrawl/cli

Firecrawl

87,226 views • 5 months ago

Unlimited tokens is the only perk that matters at your job. In the last 24 hours I used ~$5k worth of tokens to spike rewriting Copilot CLI in Bun + OpenTUI. No more ink flickering.
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Unlimited tokens is the only perk that matters at your job. In the last 24 hours I used ~$5k worth of tokens to spike rewriting Copilot CLI in Bun + OpenTUI. No more ink flickering.

Evan Boyle

49,764 views • 4 months ago

this is the "brain of AI" Claude is made of billions of these artificial neurons. no one knows exactly how they work inside. that's why it's called a black box. you give it an input, it fires through billions of connections, something comes out the other side nobody fully understands why it works. but here's what we do know: the brain is the same for everyone what separates the top 1% isn't a better model it's the setup around it ClaudeKit gives Claude Code that setup. ( full breakdown in the article below
0:20

this is the "brain of AI" Claude is made of billions of these artificial neurons. no one knows exactly how they work inside. that's why it's called a black box. you give it an input, it fires through billions of connections, something comes out the other side nobody fully understands why it works. but here's what we do know: the brain is the same for everyone what separates the top 1% isn't a better model it's the setup around it ClaudeKit gives Claude Code that setup. ( full breakdown in the article below

Hamza Khalid

170,644 views • 16 days ago

THIS GUY BUILT A 24/7 AI COMPANY WITH 7 AGENTS THAT CHECKS 48 TIMES A DAY, PICKS ITS OWN TASKS AND KEEPS WORKING WHILE HE SLEEPS 00:05 the map shows agents moving between the marketplace, research lab and command center, with each one handling a different job inside the same shared system the setup runs on 4 core layers: automatic triggers, shared memory, connected tools and an isolated verifier that checks every result before the next step starts each cycle reads the last 10 log entries, updates open tasks, saves new signals and passes the context forward, so the next agent never starts from zero one agent researches, two execute, another monitors outcomes and a read-only checker reviews the work independently, allowing several workflows to run in parallel without breaking the system bookmark this before everyone stops prompting one agent at a time and starts building AI teams that work, learn and improve around the clock
0:31

THIS GUY BUILT A 24/7 AI COMPANY WITH 7 AGENTS THAT CHECKS 48 TIMES A DAY, PICKS ITS OWN TASKS AND KEEPS WORKING WHILE HE SLEEPS 00:05 the map shows agents moving between the marketplace, research lab and command center, with each one handling a different job inside the same shared system the setup runs on 4 core layers: automatic triggers, shared memory, connected tools and an isolated verifier that checks every result before the next step starts each cycle reads the last 10 log entries, updates open tasks, saves new signals and passes the context forward, so the next agent never starts from zero one agent researches, two execute, another monitors outcomes and a read-only checker reviews the work independently, allowing several workflows to run in parallel without breaking the system bookmark this before everyone stops prompting one agent at a time and starts building AI teams that work, learn and improve around the clock

Gipp 🦅

18,927 views • 6 days ago

UI Skills are now easier for agents. Introducing UI Skills CLI. ask Codex, Cursor, Claude Code, or any agent to use the CLI, like: "use `npx ui-skills start` to fix the motion in this dialog" it finds the best design-engineering skill for the job and uses it as context
0:20

UI Skills are now easier for agents. Introducing UI Skills CLI. ask Codex, Cursor, Claude Code, or any agent to use the CLI, like: "use `npx ui-skills start` to fix the motion in this dialog" it finds the best design-engineering skill for the job and uses it as context

Ibelick

59,045 views • 22 days ago