MIKE

@mikenevermiss • 23,437 subscribers

early to everything that matters. partner @ourbit

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13 years old. making $20,000 a month. working just 1-2 hours a day. he didn’t work harder. he built a system. every morning, it looks at what’s trending. it finds the best posts from the last 24 hours. then it gives him 10 content ideas, ranked from best to worst. he picks one. one AI writes the post in his style. another checks it for mistakes. another posts it to 5 different platforms. one idea. five platforms. almost no manual work. after each post goes live, the system tracks what people liked, shared, and saved. it uses that data to make the next posts better. so the content keeps improving on its own. the results add up. 5 million views in 2 weeks. 100,000 bookmarks in 2 months. bookmarks matter. people only save posts they want to come back to. when lots of people save a post, platforms keep showing it to more people. that’s why his posts keep getting views… while he’s at school. while he’s sleeping. while he’s doing something else. the biggest advantage today isn’t working more. it’s building a system that works even when you don’t. watch the video. then read the full breakdown below.

13 years old. making $20,000 a month. working just 1-2 hours a day. he didn’t work harder. he built a system. every morning, it looks at what’s trending. it finds the best posts from the last 24 hours. then it gives him 10 content ideas, ranked from best to worst. he picks one. one AI writes the post in his style. another checks it for mistakes. another posts it to 5 different platforms. one idea. five platforms. almost no manual work. after each post goes live, the system tracks what people liked, shared, and saved. it uses that data to make the next posts better. so the content keeps improving on its own. the results add up. 5 million views in 2 weeks. 100,000 bookmarks in 2 months. bookmarks matter. people only save posts they want to come back to. when lots of people save a post, platforms keep showing it to more people. that’s why his posts keep getting views… while he’s at school. while he’s sleeping. while he’s doing something else. the biggest advantage today isn’t working more. it’s building a system that works even when you don’t. watch the video. then read the full breakdown below.

2,877,814 次观看

🔴 SOME CHINESE DEVELOPERS JUST HUMILIATED THE ENTIRE PAID AI VIDEO INDUSTRY WITH A FREE TOOL they released LongCat-Avatar, an open-source AI that turns a photo and audio file into a realistic talking video with synchronized lip movements. you can generate videos that run for minutes, completely free. no camera or studio needed. upload the image, add the audio, and let the model do the rest. it’s open source, FREE to use, and the repo is public. I’ll leave the repo in the comments.

73,410 次观看

A 22-year-old college student in shenzhen reportedly made $14,700 in one month with a 900-yuan redmi phone. his parents still think he’s spending all his time preparing for exams. here’s what the phone does. every 30 minutes, it opens six chinese news apps, scans the latest headlines, takes screenshots, and sends them to claude for analysis. claude compares that information with polymarket odds and suggests potential betting opportunities. the entire workflow runs without writing a single line of code. it’s powered by phonedriver, an open-source tool that lets ai see your phone’s screen and operate it like a human. you simply describe the task in plain english, and it does the rest. the edge comes from timing. news often appears on chinese platforms like weibo and toutiao 20 to 50 minutes before english speaking traders fully react on polymarket. that small window can create an opportunity before the market catches up. some of those apps block web scrapers, but phonedriver doesn’t scrape data. it simply looks at what’s on the screen, just like a person would, then taps and swipes automatically.

A 22-year-old college student in shenzhen reportedly made $14,700 in one month with a 900-yuan redmi phone. his parents still think he’s spending all his time preparing for exams. here’s what the phone does. every 30 minutes, it opens six chinese news apps, scans the latest headlines, takes screenshots, and sends them to claude for analysis. claude compares that information with polymarket odds and suggests potential betting opportunities. the entire workflow runs without writing a single line of code. it’s powered by phonedriver, an open-source tool that lets ai see your phone’s screen and operate it like a human. you simply describe the task in plain english, and it does the rest. the edge comes from timing. news often appears on chinese platforms like weibo and toutiao 20 to 50 minutes before english speaking traders fully react on polymarket. that small window can create an opportunity before the market catches up. some of those apps block web scrapers, but phonedriver doesn’t scrape data. it simply looks at what’s on the screen, just like a person would, then taps and swipes automatically.

204,043 次观看

FABLE 5 + HIGGSFIELD JUST KILLED THE $35,000 WEB AGENCY. The same animated website that used to cost between $6,000 and $35,000 can now be built in a single session for around $12 in AI credits. Claude Code handles the website. Higgsfield creates the visuals. Together, they can build a complete scroll-driven website from a simple prompt. Claude writes the layout, GSAP ScrollTrigger animations, Lenis smooth scrolling, responsive pages, and checks everything before you ship. Higgsfield generates the hero videos, cinematic transitions, ambient loops, thumbnails, and every visual asset you need. By the end of one session, you have a fully animated website with cinematic motion, smooth scrolling, optimized assets, responsive layouts, and polished visual effects like film grain, particles, vignette, glass cards, and color tints. Getting started only takes a few minutes. Add Higgsfield as an MCP server inside Claude Code, complete the OAuth login once, and Claude can generate and pull videos directly into your project without manually exporting anything. The prompts are simple. Give Claude your project brief and ask it to script the entire scroll experience. Tell it to generate a hero video and supporting clips for every section. Ask it to add the finishing touches like film grain, particles, glass cards, and scroll pacing. Then let it review the site, improve loading speed, fix mobile layouts, and rewrite anything that doesn’t work. This replaces work that usually looks like this: A $6,000-$35,000 web agency. An $800-$2,000 motion designer. A $2,000-$10,000 front-end developer. And weeks of back-and-forth before launch. Now it’s Fable 5, Higgsfield, a subscription, a few dollars in AI credits, and one session. The pipeline used to be the advantage. Now it’s just a prompt. Full breakdown in the article below.

FABLE 5 + HIGGSFIELD JUST KILLED THE $35,000 WEB AGENCY. The same animated website that used to cost between $6,000 and $35,000 can now be built in a single session for around $12 in AI credits. Claude Code handles the website. Higgsfield creates the visuals. Together, they can build a complete scroll-driven website from a simple prompt. Claude writes the layout, GSAP ScrollTrigger animations, Lenis smooth scrolling, responsive pages, and checks everything before you ship. Higgsfield generates the hero videos, cinematic transitions, ambient loops, thumbnails, and every visual asset you need. By the end of one session, you have a fully animated website with cinematic motion, smooth scrolling, optimized assets, responsive layouts, and polished visual effects like film grain, particles, vignette, glass cards, and color tints. Getting started only takes a few minutes. Add Higgsfield as an MCP server inside Claude Code, complete the OAuth login once, and Claude can generate and pull videos directly into your project without manually exporting anything. The prompts are simple. Give Claude your project brief and ask it to script the entire scroll experience. Tell it to generate a hero video and supporting clips for every section. Ask it to add the finishing touches like film grain, particles, glass cards, and scroll pacing. Then let it review the site, improve loading speed, fix mobile layouts, and rewrite anything that doesn’t work. This replaces work that usually looks like this: A $6,000-$35,000 web agency. An $800-$2,000 motion designer. A $2,000-$10,000 front-end developer. And weeks of back-and-forth before launch. Now it’s Fable 5, Higgsfield, a subscription, a few dollars in AI credits, and one session. The pipeline used to be the advantage. Now it’s just a prompt. Full breakdown in the article below.

141,361 次观看

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this is f**king insane. Jack Dorsey just open sourced a free tool for running a one-person business. the GitHub repo already has 14.4K stars. It lets you: → run your own server → keep chat, search, Git, and automation in one place → add AI agents that work like teammates → decide exactly what each agent can do no monthly subscriptions. just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.

this is f**king insane. Jack Dorsey just open sourced a free tool for running a one-person business. the GitHub repo already has 14.4K stars. It lets you: → run your own server → keep chat, search, Git, and automation in one place → add AI agents that work like teammates → decide exactly what each agent can do no monthly subscriptions. just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.

706,383 次观看 • 25 天前

this 20-year-old made $37,250 in a single month creating YouTube content and barely touches editing software. he built an autonomous “content factory” where Claude acts as the brain and Premiere Pro is the body. the system runs 24/7 while he focuses on other things. Claude finds high-CPM niches, writes the scripts, and uses Python to trigger voiceovers, generate visuals, assemble videos, and send everything to Premiere Pro for the final render. in his first month, one of his channels pulled hundreds of thousands of views on Shorts. and the client work gets even crazier: $400 video → 15 minutes of AI work → $400 revenue 20 videos/week → $8,000 he basically provides the idea, and Claude handles everything else, from the first line of the script to the final render.

this 20-year-old made $37,250 in a single month creating YouTube content and barely touches editing software. he built an autonomous “content factory” where Claude acts as the brain and Premiere Pro is the body. the system runs 24/7 while he focuses on other things. Claude finds high-CPM niches, writes the scripts, and uses Python to trigger voiceovers, generate visuals, assemble videos, and send everything to Premiere Pro for the final render. in his first month, one of his channels pulled hundreds of thousands of views on Shorts. and the client work gets even crazier: $400 video → 15 minutes of AI work → $400 revenue 20 videos/week → $8,000 he basically provides the idea, and Claude handles everything else, from the first line of the script to the final render.

122,004 次观看 • 20 天前

Anthropic Engineer: “the biggest mistake in AI right now is people are building graphs and loops without a self-improving eval agent. we made that mistake at anthropic. it cost us two years.” here’s how they built what solved it: step 1 → take 50 real user prompts and run your agent. if it passes 80%+, your eval is too easy. the sweet spot is around 50%. step 2 → every failed run becomes a transcript. feed it to haiku: “what went wrong?” your eval set keeps growing on its own. step 3 → score two things: the right answer and the right path. a right answer with the wrong path will break later. step 4 → when a new model drops, run the same eval again. one model looked 9% better. but 6% of that gain came from hiding a bug. the transcript caught it. the dashboard didn’t. step 5 → plug your evals into ci. no green evals = no deploy. that’s how the system keeps improving itself. 99% of people never build this. but it pays for itself on day one. save this and build it today.

Anthropic Engineer: “the biggest mistake in AI right now is people are building graphs and loops without a self-improving eval agent. we made that mistake at anthropic. it cost us two years.” here’s how they built what solved it: step 1 → take 50 real user prompts and run your agent. if it passes 80%+, your eval is too easy. the sweet spot is around 50%. step 2 → every failed run becomes a transcript. feed it to haiku: “what went wrong?” your eval set keeps growing on its own. step 3 → score two things: the right answer and the right path. a right answer with the wrong path will break later. step 4 → when a new model drops, run the same eval again. one model looked 9% better. but 6% of that gain came from hiding a bug. the transcript caught it. the dashboard didn’t. step 5 → plug your evals into ci. no green evals = no deploy. that’s how the system keeps improving itself. 99% of people never build this. but it pays for itself on day one. save this and build it today.

102,478 次观看 • 25 天前

don't spend money on courses to become an Al engineer in 2026. Andrew Ng just shared his Al Engineering Skills Map, and it breaks the whole journey into 4 simple skills: - build and launch Al apps - learn the basics of software engineering - use Al coding tools - know how to guide and improve what you're building this free 1.5-hour video explains all of it with practical examples. watch it, then start building. save this.

don't spend money on courses to become an Al engineer in 2026. Andrew Ng just shared his Al Engineering Skills Map, and it breaks the whole journey into 4 simple skills: - build and launch Al apps - learn the basics of software engineering - use Al coding tools - know how to guide and improve what you're building this free 1.5-hour video explains all of it with practical examples. watch it, then start building. save this.

60,377 次观看 • 15 天前

this guy just showed how to find youtube niches with little to no competition using claude code. save this. you’ll need it later.

this guy just showed how to find youtube niches with little to no competition using claude code. save this. you’ll need it later.

120,877 次观看 • 2 个月前

this guy just wired kimi k3 directly into codex. the model is insanely good, but the app isn’t. so instead of using the kimi app, he connected his kimi subscription to codex through oauth. now kimi k3 shows up right inside the model picker alongside sol 5.6. no api key needed. no extra subscription either. just sign in with oauth through kimi code, and it’s ready to use. simple guides in the video and links below 👇

this guy just wired kimi k3 directly into codex. the model is insanely good, but the app isn’t. so instead of using the kimi app, he connected his kimi subscription to codex through oauth. now kimi k3 shows up right inside the model picker alongside sol 5.6. no api key needed. no extra subscription either. just sign in with oauth through kimi code, and it’s ready to use. simple guides in the video and links below 👇

57,904 次观看 • 1 个月前

a 20-year-old is turning screenshots into kids’ youtube videos that can make around $3,000 per 100,000 views. he finds a kids’ channel already getting millions of views, takes a screenshot, and uploads it to claude. claude looks at the video style, colors, characters, pacing, and what keeps kids watching. then higgsfield is connected through mcp, so claude can turn its idea into a video. a few minutes later, he has a completely new 3d animation ready to upload. he’s not guessing what kids want to watch. he’s looking at videos that are already getting millions of views and using them as a blueprint.

a 20-year-old is turning screenshots into kids’ youtube videos that can make around $3,000 per 100,000 views. he finds a kids’ channel already getting millions of views, takes a screenshot, and uploads it to claude. claude looks at the video style, colors, characters, pacing, and what keeps kids watching. then higgsfield is connected through mcp, so claude can turn its idea into a video. a few minutes later, he has a completely new 3d animation ready to upload. he’s not guessing what kids want to watch. he’s looking at videos that are already getting millions of views and using them as a blueprint.

29,219 次观看 • 19 天前

🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

38,108 次观看 • 2 个月前

google just dropped another free 8-minute lesson on building AI agents probably the easiest explanation of AI agents and agent loops you’ll find people are paying $500+ for AI agent courses google is giving it away for free it covers Agent Studio, loops, managed agents, Antigravity, and ADK 2.0 watch it first then read the full guide below

google just dropped another free 8-minute lesson on building AI agents probably the easiest explanation of AI agents and agent loops you’ll find people are paying $500+ for AI agent courses google is giving it away for free it covers Agent Studio, loops, managed agents, Antigravity, and ADK 2.0 watch it first then read the full guide below

35,282 次观看 • 1 个月前

anthropic research lead: “99% of our engineers use 300+ AI agents working together.” “close the loop. let the AI check its own work.” in a 20-minute talk, an Anthropic team member explains how to build AI agents that can improve themselves. the setup uses Claude with loops, plan mode, and smart workflows. it’s better than most $300 AI agent courses. bookmark this and watch the talk. then read the article below.

anthropic research lead: “99% of our engineers use 300+ AI agents working together.” “close the loop. let the AI check its own work.” in a 20-minute talk, an Anthropic team member explains how to build AI agents that can improve themselves. the setup uses Claude with loops, plan mode, and smart workflows. it’s better than most $300 AI agent courses. bookmark this and watch the talk. then read the article below.

34,813 次观看 • 2 个月前

most AI APIs either cost too much or lock the best models behind expensive plans. then i came across Agnes AI. it’s one of the few platforms giving developers access to text, image, and video AI models through a single API. their ecosystem gives you direct access to top-tier models like - Agnes-2.0-Flash for text - Agnes-Image-2.0 for image - Agnes-Video-V2.0 for video Instead of managing different providers for different tasks, everything works from one place. what stood out to me: > one API for text, image, and video generation > OpenAI-compatible API, so integration is straightforward > built for speed and scalability > free access for developers to start building > useful for everything from chatbots to image generation and content automation if you’re building AI products, it’s worth taking a look while it’s still flying under the radar. sometimes the biggest advantage is finding great tools before everyone else does. check out Agnes AI here, get free access for developers : and if you’re building with it, join the developer community here: Agnes AI #AgnesAI #AgnesAPI #BuildWithAgnes #MultimodalAI #AIforDevs #DeveloperAPI #AIParity

most AI APIs either cost too much or lock the best models behind expensive plans. then i came across Agnes AI. it’s one of the few platforms giving developers access to text, image, and video AI models through a single API. their ecosystem gives you direct access to top-tier models like - Agnes-2.0-Flash for text - Agnes-Image-2.0 for image - Agnes-Video-V2.0 for video Instead of managing different providers for different tasks, everything works from one place. what stood out to me: > one API for text, image, and video generation > OpenAI-compatible API, so integration is straightforward > built for speed and scalability > free access for developers to start building > useful for everything from chatbots to image generation and content automation if you’re building AI products, it’s worth taking a look while it’s still flying under the radar. sometimes the biggest advantage is finding great tools before everyone else does. check out Agnes AI here, get free access for developers : and if you’re building with it, join the developer community here: Agnes AI #AgnesAI #AgnesAPI #BuildWithAgnes #MultimodalAI #AIforDevs #DeveloperAPI #AIParity

14,591 次观看 • 1 个月前

THIS IS INSANE! Someone just released a video showing how to build $10,000 websites with Fable 5. In the video, he covers: - advanced web design - smooth animations - interactive pages - a complete website workflow SAVE AND WATCH.

THIS IS INSANE! Someone just released a video showing how to build $10,000 websites with Fable 5. In the video, he covers: - advanced web design - smooth animations - interactive pages - a complete website workflow SAVE AND WATCH.

11,715 次观看 • 1 个月前

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