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🚨BREAKING: ANTHROPIC WILL PAY YOU $85K TO WORK WITH AI. NO DEGREE NEEDED. APPLICATIONS CLOSE IN 48 HOURS. 1000 fellows will spend 12 months inside nonprofits building AI tools and automations using Claude, including intake systems, databases, and workflows. After the year ends, the fellow leaves but the tools... stay running on Claude. For many small nonprofits with no technical team, switching away later can be difficult. The program costs Anthropic $150M. That's just 0.02% of their $965B valuation. It places fellows at 400+ nonprofits. How to apply: 1. 18+, US work authorization (no visa sponsorship), under 2 years of full-time experience 2. Apply at Cohort 1 closes July 17. Next cohorts open in 2027. 3. They look for people who already use AI regularly 4. You get matched with nonprofits based on fit and location 5. Paid training first, then 12 months at $85k + Claude access Just know this program also helps get Claude deeply into these organizations for the long term.show more

Evan Luthra

385,228 subscribers

30,764 次观看 • 2 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

36 条评论

Vikash Kumar Yadav 的头像

Vikash Kumar Yadav2 个月前

👍

CryptoKite 的头像

CryptoKite2 个月前

Interesting opportunity. @Grok can you verify these details? 👀

Rohit 的头像

Rohit2 个月前

Wow, that's amazing! What a cool opportunity for people to get into AI and do some good.

Genius💡💹🧲 🤖 的头像

Genius💡💹🧲 🤖2 个月前

Building real AI tools beats collecting paper qualifications every time

cryptojoe☯️ 的头像

cryptojoe☯️2 个月前

Thanks for sharing Evan

CRYPTOS CIPHER 的头像

CRYPTOS CIPHER2 个月前

Thanks for sharing

Crypto_Rexy🧘‍♂️ 的头像

Crypto_Rexy🧘‍♂️2 个月前

Thanks for sharing this man

E R V A 的头像

E R V A2 个月前

Interesting opportunity for anyone already building with AI.

Y Δ M ! X 的头像

Y Δ M ! X2 个月前

sick way for devs to get hands on experience while helping out communities

Pentosh 的头像

Pentosh2 个月前

Definitely worth applying if you're eligible

Mahfuz Allum 的头像

Mahfuz Allum2 个月前

idk man, $85k sounds tempting but what's the catch? like what do they actually expect from you?

JailBreak AI 的头像

JailBreak AI2 个月前

Try with us

KRYPTOSCRIPTX 的头像

KRYPTOSCRIPTX2 个月前

Really impressive offer! 🔥

ＲＹＺＥ -`𖹭´- 的头像

ＲＹＺＥ -`𖹭´-2 个月前

Low chances for real impact

Kryptojaguarx 的头像

Kryptojaguarx2 个月前

Excellent offer! 🔥

K I Z A N 的头像

K I Z A N2 个月前

crafty strategy to bake their ecosystem into every small org while paying for the privilege

THE ANGEL 的头像

THE ANGEL2 个月前

@grok is this actually true?

DeLord 💎 𝙃𝙏𝙓 𝙎𝙢𝙖𝙧𝙩𝙀𝙖𝙧𝙣 13% 𝘼𝙋𝙔 的头像

DeLord 💎 𝙃𝙏𝙓 𝙎𝙢𝙖𝙧𝙩𝙀𝙖𝙧𝙣 13% 𝘼𝙋𝙔2 个月前

$85K to build real-world AI systems while gaining hands-on experience?

Crypto Nation 的头像

Crypto Nation2 个月前

that a unique opportunity for those looking to break into AI! wonder how many will apply 👀

Crypto Rose Calls 的头像

Crypto Rose Calls2 个月前

This feels like a great way to actually use AI for good. @grok, worth applying?

Mahfuz Allum 的头像

Mahfuz Allum2 个月前

That’s a lot of money for just a year, but I wonder how they’ll keep those tools running after the fellows leave?

Abrar The Crypto 的头像

Abrar The Crypto2 个月前

This a way for Anthropic to lock in their tools long-term, interesting strategy honestly

安叫兽|Bird🕊️ 🔶 BNB 的头像

安叫兽|Bird🕊️ 🔶 BNB2 个月前

听起来像给非营利补一轮自动化外包

Yoqwel 🐈‍⬛ 的头像

Yoqwel 🐈‍⬛2 个月前

only 48 hours is crazy tight for such a huge opportunity but guess they want speed

Mahfuz Allum 的头像

Mahfuz Allum2 个月前

That $150M investment for a year with no degree needed they’re betting on AI familiarity more than actual skill.

Evan Jawad 的头像

Evan Jawad2 个月前

This seems like a low-effort gig

Crypto_kknight 的头像

Crypto_kknight2 个月前

That’s a Wonderful opportunity

Block Voyager 的头像

Block Voyager2 个月前

This could be a great opportunity for someone starting out

buzzi 的头像

buzzi2 个月前

How do I satrt

Evan Luthra 的头像

Evan Luthra2 个月前

read the full post

DICTATOR I ALPHA 的头像

DICTATOR I ALPHA2 个月前

Please verify this @grok

OLIVELINE 🤍 的头像

OLIVELINE 🤍2 个月前

The opportunity is real, but so is the strategy behind it.

BRAD_NFT™️ 的头像

BRAD_NFT™️2 个月前

Smart move by Anthropic. Train people, support nonprofits, and grow adoption.

Alexander 的头像

Alexander2 个月前

is this true? @grok

Zane 的头像

Zane2 个月前

Interesting opportunity, worth considering.

Emma Warry 的头像

Emma Warry2 个月前

This sounds promising but a bit risky. Just hope the nonprofits are ready to adopt and maintain the tech afterward. Long-term impact matters...

相关视频

Anthropic will pay you $85,000 to learn AI, and this is the kind of opportunity you don't let pass It's called Claude Corps. Anthropic just launched it, and it's a 12-month paid fellowship for people at the very start of their careers. They train you to use Claude from scratch, then place you inside a nonprofit to do real work with it for a year. You get paid $85,000 plus benefits the whole time. They're basically paying you to master the most in-demand skill on the planet right now, then handing you real-world experience using it. The barrier to entry is almost nothing. Over 18, less than two years of full-time work experience. No degree, no AI background needed. If that's you, don't sit on this one. Apply here: Deadline: July 17 Bookmark this

Anthropic will pay you $85,000 to learn AI, and this is the kind of opportunity you don't let pass It's called Claude Corps. Anthropic just launched it, and it's a 12-month paid fellowship for people at the very start of their careers. They train you to use Claude from scratch, then place you inside a nonprofit to do real work with it for a year. You get paid $85,000 plus benefits the whole time. They're basically paying you to master the most in-demand skill on the planet right now, then handing you real-world experience using it. The barrier to entry is almost nothing. Over 18, less than two years of full-time work experience. No degree, no AI background needed. If that's you, don't sit on this one. Apply here: Deadline: July 17 Bookmark this

Yarchi

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Nityesh

36,790 次观看 • 3 个月前

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Dan Shipper 📧

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I'm giving Claude Code for FREE (yes the world's best AI -- at no cost at all) My mission is to get the next billion people to write great software, but so many are constrained by costs. We solved this by combining AI with ads (only contextual and relevant ads, no spam). In return, you get the best AI models without needing a credit card. For the next batch, I will choose 500 people randomly who have done the following steps: 1. Comment "GIVE ME SANTA CLAUDE" below 2. Like and retweet this 3. Follow Namanyay and supermemory 4. Sign up on the link in the next tweet Watch this quick video to understand how it works!

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Namanyay

293,653 次观看 • 10 个月前

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I'm giving away Claude Code for FREE. Yes, you read that right -- the world's best AI, now completely FREE. My mission is to get the next billion people to write great software. I believe EVERYONE should have access to the best AI, but so many are constrained by costs. I'm solving this by: disrupting the world's fastest growing industry = AI + with the most proven business model = Ads You can actually try it out now -- just one line of code, and you unlock all the powers of Claude Code, for free. how it works: 1. sign up on Giga AI Free 2. change Claude Code env variables to use our inference endpoint 2. to support the free usage, we'll add ads inside the AI responses (only contextual and relevant ads, no spam) Since we get too many signups, there's a waitlist, but we'll be rolling it out to the maximum people as we can. Watch the video to get started & comment and retweet to get access first.

Namanyay

488,682 次观看 • 11 个月前

-> If you’re looking for a job -> right now, there are three -> Claude certifications that -> you should do this week -> and then put them on your -> LinkedIn, they are all -> completely free, and they -> come from Anthropic, -> which is the company -> that's behind Claude. -> And jobs that need AI skills -> pay 56% more than jobs -> that don’t, So, I think -> spending a few hours this -> week to knock out these -> three courses and then -> add them to your LinkedIn -> will really go a long way -> The first one is called -> Claude 101, and this -> essentially just goes over -> what Claude is and when -> you should use chat versus -> co-work versus code, how -> projects and skills work, -> and how to connect all -> of your tools and apps -> like Gmail, Notion, Slack, -> and other tools that you use -> And the second course -> is called AI Fluency -> Framework and Foundations -> Inside this one, there are -> 13 lessons on how to -> actually work with AI. -> It goes over things like -> effective prompting, critical -> thinking on the outputs, -> and it has a vocabulary -> sheet that you’ll want -> to read and save for later. -> And the third one is -> Intro to Claude Cowork -> Claude Cowork is where -> you can actually get stuff -> done with Claude. -> So, this course covers -> projects, skills, plug-ins, -> scheduling tasks, handling -> files, and then also how -> to pick the right model -> for the job, and then when -> you finish these courses, -> just go to your LinkedIn -> and go to your profile -> Click "Add section," and -> then go to "Licenses -> and certifications" and -> add all three of these. -> And then when you land -> the interview, you should -> talk about your AI fluency -> often as you possibly can -> I feel pretty confident that -> you’ll truly be able to -> differentiate yourself -> from other candidates -> if you do this

BeingInvested

13,130 次观看 • 3 个月前

Anthropic CEO: "Software is going to become cheap, maybe essentially free." this 2-minute clip is the most important thing I watched this month. ↓ Save this before everyone copies the playbook Not only the people who refuse AI, but also those who think signing up for Claude counts as using it. the part nobody wanted to hear: > you don't need a co-founder who codes > you don't need $50K for an MVP > you don't need 6 months of development > you need Claude and one weekend most people will watch this and worry about their job. A few will open Claude this weekend and vibe code their first product. I used Claude to build my first product. No code. No cost. No CS degree. I did exactly this and documented the whole process step by step. Full guide in the article below.

Anthropic CEO: "Software is going to become cheap, maybe essentially free." this 2-minute clip is the most important thing I watched this month. ↓ Save this before everyone copies the playbook Not only the people who refuse AI, but also those who think signing up for Claude counts as using it. the part nobody wanted to hear: > you don't need a co-founder who codes > you don't need $50K for an MVP > you don't need 6 months of development > you need Claude and one weekend most people will watch this and worry about their job. A few will open Claude this weekend and vibe code their first product. I used Claude to build my first product. No code. No cost. No CS degree. I did exactly this and documented the whole process step by step. Full guide in the article below.

Khairallah AL-Awady

53,454 次观看 • 4 个月前

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today

Matt Turck

80,854 次观看 • 5 个月前

We've partnered with Paul Jankura to host an official Claude Code workshop in NYC and I genuinely cannot stop thinking about how good this is going to be. We've been getting an incredible amount of requests from our enterprise clients for Claude Code training, and we're thrilled to finally be doing something official with Anthropic to meet that demand. This workshop is being run by an Anthropic engineer, one of our senior AI Strategists at tenex, and myself — and we're going all in on teaching you how to orchestrate agents with Claude Code. Getting set up, skills, hooks, plugins, and more. You'll leave having actually built things, not just watched a demo. You'll see the magic of Claude firsthand! We're also pulling back the curtain on how our engineers at Tenex are using Claude Code inside Fortune 500 companies right now to accelerate impact — and we'll take live questions on what implementing Claude Code at scale actually looks like. World-class venue, the right people in the room, and a real hands-on experience your team can bring back and put to work immediately. Free event. 30 spots total. We're accepting up to 2 people per org — usually a senior decision maker and a technical partner. April 10th, New York City. If you're serious about bringing Claude Code into your org, this is the room to be in. Apply here:

We've partnered with Paul Jankura to host an official Claude Code workshop in NYC and I genuinely cannot stop thinking about how good this is going to be. We've been getting an incredible amount of requests from our enterprise clients for Claude Code training, and we're thrilled to finally be doing something official with Anthropic to meet that demand. This workshop is being run by an Anthropic engineer, one of our senior AI Strategists at tenex, and myself — and we're going all in on teaching you how to orchestrate agents with Claude Code. Getting set up, skills, hooks, plugins, and more. You'll leave having actually built things, not just watched a demo. You'll see the magic of Claude firsthand! We're also pulling back the curtain on how our engineers at Tenex are using Claude Code inside Fortune 500 companies right now to accelerate impact — and we'll take live questions on what implementing Claude Code at scale actually looks like. World-class venue, the right people in the room, and a real hands-on experience your team can bring back and put to work immediately. Free event. 30 spots total. We're accepting up to 2 people per org — usually a senior decision maker and a technical partner. April 10th, New York City. If you're serious about bringing Claude Code into your org, this is the room to be in. Apply here:

JJ Englert

41,213 次观看 • 6 个月前

This 1-hour Stanford lecture will teach you how to automate your entire daily work routine with AI better than 99% of "AI automation" content on YouTube No tools to sell you. No fluff. Just the raw science behind how AI agents think, plan, and execute tasks on their own Led by GitHub's Principal ML Researcher and recorded for FREE Most people spend 2-3 hours/day on repetitive work that AI can handle: emails, reports, scheduling, code reviews, data entry, status updates This lecture shows you exactly how the systems behind that automation actually work like reflection, planning, tool use, and decision-making Bookmark it. 1 hour now = hundreds of hours saved later

This 1-hour Stanford lecture will teach you how to automate your entire daily work routine with AI better than 99% of "AI automation" content on YouTube No tools to sell you. No fluff. Just the raw science behind how AI agents think, plan, and execute tasks on their own Led by GitHub's Principal ML Researcher and recorded for FREE Most people spend 2-3 hours/day on repetitive work that AI can handle: emails, reports, scheduling, code reviews, data entry, status updates This lecture shows you exactly how the systems behind that automation actually work like reflection, planning, tool use, and decision-making Bookmark it. 1 hour now = hundreds of hours saved later

Ronin

62,292 次观看 • 5 个月前

anthropic just removed the biggest excuse people had for not building ai agents. “it’s too hard.” not anymore. a few months ago, building an ai agent meant learning how to code, setting up apis, configuring servers, and fixing endless errors. today, all you need is one github repo. anthropic open-sourced launch your agent. it asks what you want to build. then it does the rest. it builds your agent, deploys it to the cloud, tests it, improves it, and keeps it running even after you close your laptop. no fake demos. no complicated setup. just a real ai agent running in your own account. the best part. it doesn’t run on your computer. it runs inside claude managed agents, works 24/7, and costs just a few cents per run. people are already building research agents, lead generation systems, content pipelines, and customer support agents that save hours of work every day. the gap between people who use ai and people who build ai workers is getting bigger every week. that’s usually where the biggest opportunities are. build your first ai agent before everyone else does. watch the video and read the full guide below 👇

anthropic just removed the biggest excuse people had for not building ai agents. “it’s too hard.” not anymore. a few months ago, building an ai agent meant learning how to code, setting up apis, configuring servers, and fixing endless errors. today, all you need is one github repo. anthropic open-sourced launch your agent. it asks what you want to build. then it does the rest. it builds your agent, deploys it to the cloud, tests it, improves it, and keeps it running even after you close your laptop. no fake demos. no complicated setup. just a real ai agent running in your own account. the best part. it doesn’t run on your computer. it runs inside claude managed agents, works 24/7, and costs just a few cents per run. people are already building research agents, lead generation systems, content pipelines, and customer support agents that save hours of work every day. the gap between people who use ai and people who build ai workers is getting bigger every week. that’s usually where the biggest opportunities are. build your first ai agent before everyone else does. watch the video and read the full guide below 👇

MIKE

26,662 次观看 • 2 个月前

Anthropic CEO: "there are jobs that took generations to build that may disappear" this is one of the best interviews I've seen in a long time Dario Amodei talks about how to prepare for what's coming here's what to expect: > high GDP growth and high unemployment at the same time > software becoming essentially free to build > the gap between people who use AI and people who don't the scariest part this is not a prediction, this is already happening to stay competitive you need to adapt fast and you can't do that while ignoring AI that's why I put together a guide on Claude features that 99% of users have no idea exist it will completely change how you work with Claude you can find it below

Anthropic CEO: "there are jobs that took generations to build that may disappear" this is one of the best interviews I've seen in a long time Dario Amodei talks about how to prepare for what's coming here's what to expect: > high GDP growth and high unemployment at the same time > software becoming essentially free to build > the gap between people who use AI and people who don't the scariest part this is not a prediction, this is already happening to stay competitive you need to adapt fast and you can't do that while ignoring AI that's why I put together a guide on Claude features that 99% of users have no idea exist it will completely change how you work with Claude you can find it below

Anatoli Kopadze

662,843 次观看 • 4 个月前

SOMEONE FROM THE ANTHROPIC TEAM LEAKED THEIR OBSIDIAN SETUP. 8 MILLION PEOPLE SAW HOW HE ACTUALLY USES CLAUDE the funniest part? all of this information was sitting in claude's documentation from day one. nobody read it one guy did, packed it into a 9-step guide and posted it. and it broke the internet. 4,100 likes, 800 retweets, then china picked it up and 8 million views want to know what's in it? one file. called CLAUDE.md. it holds everything about you: how you think, what you're working on, where you get stuck, even how you want the ai to talk to you. claude reads it first every single session one file changed everything. because now ai doesn't open with "how can i help?" it already knows. it remembers your projects, sees your goals, catches moments where you're contradicting yourself people spent years searching for the perfect prompt. the right temperature. the magic formula. and the answer turned out to be not how you ask ai. but what ai knows about you before you even open your mouth then the guy went deeper. taught claude to work on a schedule. every morning at 7am the ai walks through all notes on its own, finds new stuff, links it, cleans what's stale. no command. no reminder and all of this runs on obsidian. free app. text files on your drive. no cloud, no lock-in. switch models tomorrow and the folder keeps working the most liked comment under the original post: "this is the difference between using ai and building a system. most people won't realize it until they waste hundreds of hours repeating themselves" hundreds of hours. you've already spent some of them full guide in the video. i break down finds like this every day - follow so you don't miss the next one

SOMEONE FROM THE ANTHROPIC TEAM LEAKED THEIR OBSIDIAN SETUP. 8 MILLION PEOPLE SAW HOW HE ACTUALLY USES CLAUDE the funniest part? all of this information was sitting in claude's documentation from day one. nobody read it one guy did, packed it into a 9-step guide and posted it. and it broke the internet. 4,100 likes, 800 retweets, then china picked it up and 8 million views want to know what's in it? one file. called CLAUDE.md. it holds everything about you: how you think, what you're working on, where you get stuck, even how you want the ai to talk to you. claude reads it first every single session one file changed everything. because now ai doesn't open with "how can i help?" it already knows. it remembers your projects, sees your goals, catches moments where you're contradicting yourself people spent years searching for the perfect prompt. the right temperature. the magic formula. and the answer turned out to be not how you ask ai. but what ai knows about you before you even open your mouth then the guy went deeper. taught claude to work on a schedule. every morning at 7am the ai walks through all notes on its own, finds new stuff, links it, cleans what's stale. no command. no reminder and all of this runs on obsidian. free app. text files on your drive. no cloud, no lock-in. switch models tomorrow and the folder keeps working the most liked comment under the original post: "this is the difference between using ai and building a system. most people won't realize it until they waste hundreds of hours repeating themselves" hundreds of hours. you've already spent some of them full guide in the video. i break down finds like this every day - follow so you don't miss the next one

kai

174,650 次观看 • 2 个月前

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.

Defileo🔮

695,073 次观看 • 5 个月前

CHINESE GUY SPENT 24 HOURS WITH CLAUDE AND BUILT AN APP THAT NOW PAYS HIM $1,000,000 A YEAR JUST CHARGING $29 TO $99 A MONTH PER SUBSCRIPTION His name is Liu XiaoPai and his never written a line of code in his life. No office, no team, nothing. He just opened Claude, explained what he wanted and 24 hours later had a working app. Design, code, marketing all done. Pause at second 7 in the video that’s the moment you see what he actually typed into Claude and how ridiculously simple it was. Then he did the exact same thing the following week. Here’s what makes it work. Businesses hate generic tools. A dentist will never pay for ChatGPT but will throw $49/month at a video editor made specifically for dental clinics. A realtor will pay $79/month for something built around property listings. A podcaster will pay $29/month for a voice tool that actually fits their workflow. So he just keeps finding these niches, building something specific for them with Claude and collecting subscriptions every single month. One guy. No employees. No code. $1,000,000 a year. You don’t need to code. You don’t even need a big idea. You just need to find people with a problem and use Claude to fix it. Honestly most people are going to read this and do nothing with it which is exactly why this still works. Save this

CHINESE GUY SPENT 24 HOURS WITH CLAUDE AND BUILT AN APP THAT NOW PAYS HIM $1,000,000 A YEAR JUST CHARGING $29 TO $99 A MONTH PER SUBSCRIPTION His name is Liu XiaoPai and his never written a line of code in his life. No office, no team, nothing. He just opened Claude, explained what he wanted and 24 hours later had a working app. Design, code, marketing all done. Pause at second 7 in the video that’s the moment you see what he actually typed into Claude and how ridiculously simple it was. Then he did the exact same thing the following week. Here’s what makes it work. Businesses hate generic tools. A dentist will never pay for ChatGPT but will throw $49/month at a video editor made specifically for dental clinics. A realtor will pay $79/month for something built around property listings. A podcaster will pay $29/month for a voice tool that actually fits their workflow. So he just keeps finding these niches, building something specific for them with Claude and collecting subscriptions every single month. One guy. No employees. No code. $1,000,000 a year. You don’t need to code. You don’t even need a big idea. You just need to find people with a problem and use Claude to fix it. Honestly most people are going to read this and do nothing with it which is exactly why this still works. Save this

AdiiX

15,873 次观看 • 3 个月前

After testing every AI toolchain for a year, this is the only workflow I'm endorsing: Figma → Claude Code (Sonnet 4.5) Here's how I'm building Lorelight: 1. Design the happy path in Figma 2. Feed it to Claude Code via Figma MCP 3. Get a strong foundation in 15 minutes 4. Spend the next 50+ hours iterating (still design work) The design/dev loop that used to be isolated is finally closing. I even built a complete design system in within minutes. Custom components, living documentation, accessibility rules all from the Figma designs. If you're measuring the effectiveness of these tools by whether they can "one-shot" a design, you're consuming too many AI hype commercials. Log off. Then go actually build something with your hands. With AI. With your taste. Stop trying to "one-shot" good shit. And go make stuff with the new tools. For designers who want to ship real products, this is the stack that's getting it done.

After testing every AI toolchain for a year, this is the only workflow I'm endorsing: Figma → Claude Code (Sonnet 4.5) Here's how I'm building Lorelight: 1. Design the happy path in Figma 2. Feed it to Claude Code via Figma MCP 3. Get a strong foundation in 15 minutes 4. Spend the next 50+ hours iterating (still design work) The design/dev loop that used to be isolated is finally closing. I even built a complete design system in within minutes. Custom components, living documentation, accessibility rules all from the Figma designs. If you're measuring the effectiveness of these tools by whether they can "one-shot" a design, you're consuming too many AI hype commercials. Log off. Then go actually build something with your hands. With AI. With your taste. Stop trying to "one-shot" good shit. And go make stuff with the new tools. For designers who want to ship real products, this is the stack that's getting it done.

Tommy Geoco

22,905 次观看 • 11 个月前

anthropic's head of product just revealed how they're able to ship faster than any other AI company. their secret: "side quest maxxing." here's how it works: instead of long-term roadmaps, anthropic runs on unplanned afternoon experiments. anyone on the team gets full freedom to spend an afternoon prototyping an idea and show it to the team. you get to skip the approval process entirely. then, employees at anthropic try it. if they keep using it the next day and the day after that, it gets polished into a real feature. if nobody touches it again, it dies. that's the whole process. claude code on desktop started as one engineer's afternoon project. he wanted it to work on desktop so he built a prototype. people on the team started using it immediately. so they shipped it. the todo list feature started the same way. someone built it, the team adopted it internally, and it became one of the most-used parts of the product. plugins started when one engineer shared a spec with claude code and the prototype that came back was close to production-ready. went from idea to working feature in a single session. they also killed standup meetings. instead of telling people what you're working on, you just show a working demo. all walk no talk basically the team structure makes this possible. > designers ship code. > engineers make product decisions. > product managers build prototypes. everyone can take an idea from concept to working demo without waiting on anyone else. the biggest features at a $380b company came from afternoon experiments that nobody asked for. honestly this matches my own experience cooking with ai. some of the best workflows i use every day came from just fucking around. opening a session with zero intention and asking claude what it can do, or jamming on a random idea to see where it goes. if you're only using ai for tasks you already have in mind, you're missing the best part. open a session with no agenda. ask it to surprise you. try building something stupid. half the time it goes nowhere. the other half it becomes the thing you use most. you need to be sidequestmaxxing.

anthropic's head of product just revealed how they're able to ship faster than any other AI company. their secret: "side quest maxxing." here's how it works: instead of long-term roadmaps, anthropic runs on unplanned afternoon experiments. anyone on the team gets full freedom to spend an afternoon prototyping an idea and show it to the team. you get to skip the approval process entirely. then, employees at anthropic try it. if they keep using it the next day and the day after that, it gets polished into a real feature. if nobody touches it again, it dies. that's the whole process. claude code on desktop started as one engineer's afternoon project. he wanted it to work on desktop so he built a prototype. people on the team started using it immediately. so they shipped it. the todo list feature started the same way. someone built it, the team adopted it internally, and it became one of the most-used parts of the product. plugins started when one engineer shared a spec with claude code and the prototype that came back was close to production-ready. went from idea to working feature in a single session. they also killed standup meetings. instead of telling people what you're working on, you just show a working demo. all walk no talk basically the team structure makes this possible. > designers ship code. > engineers make product decisions. > product managers build prototypes. everyone can take an idea from concept to working demo without waiting on anyone else. the biggest features at a $380b company came from afternoon experiments that nobody asked for. honestly this matches my own experience cooking with ai. some of the best workflows i use every day came from just fucking around. opening a session with zero intention and asking claude what it can do, or jamming on a random idea to see where it goes. if you're only using ai for tasks you already have in mind, you're missing the best part. open a session with no agenda. ask it to surprise you. try building something stupid. half the time it goes nowhere. the other half it becomes the thing you use most. you need to be sidequestmaxxing.

Ole Lehmann

106,072 次观看 • 5 个月前

🚨 Claude Fable 5.1 launched earlier this week and you can use it right now for FREE. no subscription. no API key. no credit card. here's how: 1. go to 2. pen the model selector 3. pick claude-fable-5.1-high 4. start prompting that's it. sign in with google only if you want your chat history saved. why it's free: Arena is the crowdsourced eval platform (formerly LMArena, built at Berkeley). labs like Anthropic hand over their flagship models so 5M+ monthly users can stress-test them and vote. You get the model, they get the preference data. Fable 5.1 is currently #1 on Arena's WebDev leaderboard at 1,765 points, 77 ahead of second place. two things to know: → It's rate limited. a few messages per model, then a cooldown. There's no paid tier to remove it. → your prompts are shared with the provider and can be made public. don't paste anything private. use it to evaluate the model, not to run your business on it. follow for more useful tips and content about AI.

🚨 Claude Fable 5.1 launched earlier this week and you can use it right now for FREE. no subscription. no API key. no credit card. here's how: 1. go to 2. pen the model selector 3. pick claude-fable-5.1-high 4. start prompting that's it. sign in with google only if you want your chat history saved. why it's free: Arena is the crowdsourced eval platform (formerly LMArena, built at Berkeley). labs like Anthropic hand over their flagship models so 5M+ monthly users can stress-test them and vote. You get the model, they get the preference data. Fable 5.1 is currently #1 on Arena's WebDev leaderboard at 1,765 points, 77 ahead of second place. two things to know: → It's rate limited. a few messages per model, then a cooldown. There's no paid tier to remove it. → your prompts are shared with the provider and can be made public. don't paste anything private. use it to evaluate the model, not to run your business on it. follow for more useful tips and content about AI.

m0h

22,633 次观看 • 24 天前

In the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget. That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a computer in the cloud, that you can spin up, scale, and manage as needed. Anthropic is taking on the infrastructure that kills most agent products, and making sure that it scales to meet the needs of agents running 24/7. On this week’s AI & I from Every 📧, I talk with Angela Jiang (Angela Jiang), head of product for the Claude platform, and Katelyn Lesse (Katelyn Lesse), head of engineering for the Claude platform, about what Anthropic is building and what it takes to make agents reliable in production. We get into: - Why the "build a generic harness, hot-swap any model behind it" playbook is already outdated. Angela points to eval data on Memory where the same task across different harnesses performed drastically differently. - The infrastructure wall every team hits in production—and why Katelyn thinks “my sandbox died and took the agent with it” is the real reason internal agents don't ship. - Why Anthropic is so bullish on using file systems and skills within Claude, including Angela's argument that those early design choices can compound for years. This is a must-watch for anyone trying to take an agent past the demo and into production. Watch below! Timestamps: How the Claude platform evolved from API to agents: 00:01:48 The primitives that make up Claude Managed Agents: 00:04:09 Why the harness and the model are becoming a single unit: 00:10:37 The infrastructure wall that kills most agent projects in production: 00:18:49 Why team agents need a different shape than individual productivity tools: 00:24:49 How Anthropic's legal team uses an agent to review marketing copy: 00:26:36 Using multi-agent orchestration for advisor strategies, adversarial pairs, and swarms: 00:34:24 How to measure agent success with outcome and budget as the end state: 00:35:50 What the platform looks like a year from now, when Claude writes its own harness: 00:39:11

In the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget. That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a computer in the cloud, that you can spin up, scale, and manage as needed. Anthropic is taking on the infrastructure that kills most agent products, and making sure that it scales to meet the needs of agents running 24/7. On this week’s AI & I from Every 📧, I talk with Angela Jiang (Angela Jiang), head of product for the Claude platform, and Katelyn Lesse (Katelyn Lesse), head of engineering for the Claude platform, about what Anthropic is building and what it takes to make agents reliable in production. We get into: - Why the "build a generic harness, hot-swap any model behind it" playbook is already outdated. Angela points to eval data on Memory where the same task across different harnesses performed drastically differently. - The infrastructure wall every team hits in production—and why Katelyn thinks “my sandbox died and took the agent with it” is the real reason internal agents don't ship. - Why Anthropic is so bullish on using file systems and skills within Claude, including Angela's argument that those early design choices can compound for years. This is a must-watch for anyone trying to take an agent past the demo and into production. Watch below! Timestamps: How the Claude platform evolved from API to agents: 00:01:48 The primitives that make up Claude Managed Agents: 00:04:09 Why the harness and the model are becoming a single unit: 00:10:37 The infrastructure wall that kills most agent projects in production: 00:18:49 Why team agents need a different shape than individual productivity tools: 00:24:49 How Anthropic's legal team uses an agent to review marketing copy: 00:26:36 Using multi-agent orchestration for advisor strategies, adversarial pairs, and swarms: 00:34:24 How to measure agent success with outcome and budget as the end state: 00:35:50 What the platform looks like a year from now, when Claude writes its own harness: 00:39:11

Dan Shipper

66,871 次观看 • 4 个月前