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Introducing the v0 Podcast Generator Starter • AI SDK generates podcast script on any topic • Supabase stores script in database • Eleven v3 generates multi-speaker dialogue v0 Starter templates linked below.

ElevenLabs Developers

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410,082 Aufrufe • vor 10 Monaten •via X (Twitter)

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Introducing the v0 Agents Starter • Configure your agent in ElevenLabs • Clone the v0 starter template • Talk to your app v0 Starter templates linked below.

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ElevenLabs Developers

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We built a tool that generates AI clones of people and Y Combinator used it in their official podcast today! 🎉 Check out the clip below to see AI clones of Garry Tan, Jared (Jared Friedman), Harj Taggar, and Diana talking about AI. Very meta Here's a 🧵on how we built it:

We built a tool that generates AI clones of people and Y Combinator used it in their official podcast today! 🎉 Check out the clip below to see AI clones of Garry Tan, Jared (Jared Friedman), Harj Taggar, and Diana talking about AI. Very meta Here's a 🧵on how we built it:

Lina Colucci

164,136 Aufrufe • vor 2 Jahren

NEW VIBE CODING TUTORIAL: 15 Hidden Features, Tips, and Settings for v0 the AI platform by Vercel 00:00 Feature 1: Design Mode 00:33 Video overview 01:05 Feature 2: One-Click Deploy 01:33 Feature 3: Prompt Enhancement 02:12 Feature 4: Use of Modern Frameworks 03:10 Feature 5: Visual Editor 03:57 Feature 6: Code Visibility 04:47 Feature 7: Co-builder 05:13 Feature 8: Built-in Version Control 06:04 Feature 9: GitHub Integration 06:45 Feature 10: Database Integrations 07:39 Feature 11: Secure API Key Management 08:20 Feature 12: Screenshot to App 08:48 Feature 13: Easy Export Options 09:21 Feature 14: Starter Templates 09:49 Feature 15: Vercel AI frameworks 10:28 Who is v0 best for?

NEW VIBE CODING TUTORIAL: 15 Hidden Features, Tips, and Settings for v0 the AI platform by Vercel 00:00 Feature 1: Design Mode 00:33 Video overview 01:05 Feature 2: One-Click Deploy 01:33 Feature 3: Prompt Enhancement 02:12 Feature 4: Use of Modern Frameworks 03:10 Feature 5: Visual Editor 03:57 Feature 6: Code Visibility 04:47 Feature 7: Co-builder 05:13 Feature 8: Built-in Version Control 06:04 Feature 9: GitHub Integration 06:45 Feature 10: Database Integrations 07:39 Feature 11: Secure API Key Management 08:20 Feature 12: Screenshot to App 08:48 Feature 13: Easy Export Options 09:21 Feature 14: Starter Templates 09:49 Feature 15: Vercel AI frameworks 10:28 Who is v0 best for?

Avthar

22,958 Aufrufe • vor 1 Jahr

I made this short drama with SkyReels in no time This isn’t just another AI video tool, it's the world’s first text-to-film agent. It writes your script, builds the storyboard, generates consistent characters, voices, music, lip sync… and even edits the entire film on its own. And I'm going to show you exactly how you can do it yourself. Step-by-step tutorial below:

I made this short drama with SkyReels in no time This isn’t just another AI video tool, it's the world’s first text-to-film agent. It writes your script, builds the storyboard, generates consistent characters, voices, music, lip sync… and even edits the entire film on its own. And I'm going to show you exactly how you can do it yourself. Step-by-step tutorial below:

Amira Zairi

20,010 Aufrufe • vor 1 Jahr

i asked guillermo rauch (Guillermo Rauch), ceo of vercel ($9b company), for his best ai startup ideas and anyone can steal them below: 1. AI-Native Conversational Forms ($1M+ ARR) every website uses forms, but they’re outdated yet typeform does $140M+ In ARR imagine replacing those static boxes with an AI that talks to you, asks follow-up questions, and fills itself out as you type. onboarding, applications, and surveys suddenly feel human instead of robotic. feels like the obvious next evolution of where the internet is going (this was my fav idea he shared) 2. AI Camera App ($1M–$5M ARR) there are hundreds of mobile app opportunities like this one where you can productize LLMs through simple filters, lenses, and visual effects. imagine an AI camera that enhances photos, turns scenes into stories, or generates art instantly from what you capture. 3. LLM Vibes Radar ($1M Creator SaaS) - a tool that tracks how AI models’ opinions change over time, like watching how the internet’s collective brain evolves. it’s analytics for what AI “thinks,” built for journalists, creators, and researchers. 4. Deepest Research ($10M+ B2B SaaS) - a platform that asks every major AI model the same question and compares the answers side by side so companies can see where the models align or make mistakes. His vibe coding with v0 philosophy: start with the interface, delete everything unnecessary, explain it simply, ship a working demo, and learn in public. Full pod is available below or on yt/spotify (you can follow The Startup Ideas Podcast (SIP) 🧃 for more) you can steal his ideas and learn his v0 workflow in the episode below might as well happy building, my friends

i asked guillermo rauch (Guillermo Rauch), ceo of vercel ($9b company), for his best ai startup ideas and anyone can steal them below: 1. AI-Native Conversational Forms ($1M+ ARR) every website uses forms, but they’re outdated yet typeform does $140M+ In ARR imagine replacing those static boxes with an AI that talks to you, asks follow-up questions, and fills itself out as you type. onboarding, applications, and surveys suddenly feel human instead of robotic. feels like the obvious next evolution of where the internet is going (this was my fav idea he shared) 2. AI Camera App ($1M–$5M ARR) there are hundreds of mobile app opportunities like this one where you can productize LLMs through simple filters, lenses, and visual effects. imagine an AI camera that enhances photos, turns scenes into stories, or generates art instantly from what you capture. 3. LLM Vibes Radar ($1M Creator SaaS) - a tool that tracks how AI models’ opinions change over time, like watching how the internet’s collective brain evolves. it’s analytics for what AI “thinks,” built for journalists, creators, and researchers. 4. Deepest Research ($10M+ B2B SaaS) - a platform that asks every major AI model the same question and compares the answers side by side so companies can see where the models align or make mistakes. His vibe coding with v0 philosophy: start with the interface, delete everything unnecessary, explain it simply, ship a working demo, and learn in public. Full pod is available below or on yt/spotify (you can follow The Startup Ideas Podcast (SIP) 🧃 for more) you can steal his ideas and learn his v0 workflow in the episode below might as well happy building, my friends

GREG ISENBERG

200,386 Aufrufe • vor 9 Monaten

THIS GUY SAYS HIS AI SETUP MAKES HIM $1,000 A DAY AND HE BARELY HAS TO TOUCH IT It works like this: it scans viral TikToks, rewrites the hooks, rebuilds the videos using AI avatars, and automatically publishes them across up to 9 platforms at once It’s a fully autonomous workflow that: > Clones any viral TikTok via URL > Analyzes the thumbnail and suggests new angles using GPT-4o > Rewrites the script, breaks it into segments, and generates a new video with an avatar > Automatically adds subtitles and overlays > Publishes instantly to Instagram, YouTube, TikTok, Threads, Facebook, LinkedIn, Bluesky, Pinterest, and more That’s the difference between grinding on content every single day and basically printing money on full autopilot And in the article below you’ll find even more interesting automation setups that can generate income Save this and start automating all your processes

Bonsai 🌳

30,502 Aufrufe • vor 1 Monat

STOP SCROLLING. IN 2026 ANYONE CAN BECOME A MILLIONAIRE MAKING AI BRAINROT CONTENT AND THIS IS NOT A JOKE. No camera. No face. No editing experience. Just AI tools and a posting schedule. Brainrot content has the highest watch-time retention of any format on short video platforms right now. The algorithm rewards it aggressively. Views compound fast. AI generates the entire production pipeline: –> Script: generated in one prompt –> Visuals: created without any design skills –> Voice: synthesized or cloned –> Editing: automated –> Upload schedule: consistent without burning out Post consistently at volume and the algorithm does the rest. Creators who figured this out six months ago are already at millions of subscribers. The ones starting now still have a massive window before the format saturates. The tools are cheap. The process is documented. The only thing missing is execution. Bookmark this post so you don't lose the video & article.

STOP SCROLLING. IN 2026 ANYONE CAN BECOME A MILLIONAIRE MAKING AI BRAINROT CONTENT AND THIS IS NOT A JOKE. No camera. No face. No editing experience. Just AI tools and a posting schedule. Brainrot content has the highest watch-time retention of any format on short video platforms right now. The algorithm rewards it aggressively. Views compound fast. AI generates the entire production pipeline: –> Script: generated in one prompt –> Visuals: created without any design skills –> Voice: synthesized or cloned –> Editing: automated –> Upload schedule: consistent without burning out Post consistently at volume and the algorithm does the rest. Creators who figured this out six months ago are already at millions of subscribers. The ones starting now still have a massive window before the format saturates. The tools are cheap. The process is documented. The only thing missing is execution. Bookmark this post so you don't lose the video & article.

SCOTTY BEAM

18,338 Aufrufe • vor 2 Monaten

I've improved the NotebookLM script on my news site: The pattern? Have my AI agent grab all posts from the AI community here on X via the X API. About 30,000 every day. Costs about $150 a day. This is why lists on X are so important (I have the most complete lists of the tech community here on X by far, and they are all public so you can build your own systems like this). Then my AI agent, built by Brayden Levangie and me, analyzes all of them, builds the website above, and it writes a script for NotebookLM, which largely is the same as the essay you see on the top of that page. At the bottom of the page is a "copy script" button for NotebookLM users. You can copy the script, paste it into NotebookLM, which then can build you a podcast (which I like a lot better than the videos it generates, which I include here from today's script). It updates three times a day, around 8 a.m., noon, and 6 p.m. If major news is breaking I update it more often. Why do I call this a pattern? Because you'll see this pattern used a lot more to build personalized news systems. Next on the priority list? Get my newsletter to work and send out to the thousands who have subscribed (thank you for being patient). Unfortunately beehiiv 🐝 hasn't turned on automatic posting yet, so am looking at other email systems that can be automated, like Resend. Eventually I want to turn this into an automatically generated news show with HeyGen. Thanks for putting up with my agent that has been spitting out bad links lately, Brayden and I have been working on that behind the scenes to make the system more reliable. What do you think about the news site? I built it because it is just impossible for anyone to read the 30,000 posts a day that the AI industry generates here on X. Hope it helps you keep up with the models, papers, robots, company news, events, and more that everyone posts here, but that X itself has made it hard to find due to an inferior search system and an algorithm that only brings a certain kind of post to your ForYou feed, which hides a TON of interesting stuff being shared here. My lists at are getting a LOT more complete and better, been working hard on those and watch them all day long because the quality of the lists (and completeness) makes this whole pattern better.

I've improved the NotebookLM script on my news site: The pattern? Have my AI agent grab all posts from the AI community here on X via the X API. About 30,000 every day. Costs about $150 a day. This is why lists on X are so important (I have the most complete lists of the tech community here on X by far, and they are all public so you can build your own systems like this). Then my AI agent, built by Brayden Levangie and me, analyzes all of them, builds the website above, and it writes a script for NotebookLM, which largely is the same as the essay you see on the top of that page. At the bottom of the page is a "copy script" button for NotebookLM users. You can copy the script, paste it into NotebookLM, which then can build you a podcast (which I like a lot better than the videos it generates, which I include here from today's script). It updates three times a day, around 8 a.m., noon, and 6 p.m. If major news is breaking I update it more often. Why do I call this a pattern? Because you'll see this pattern used a lot more to build personalized news systems. Next on the priority list? Get my newsletter to work and send out to the thousands who have subscribed (thank you for being patient). Unfortunately beehiiv 🐝 hasn't turned on automatic posting yet, so am looking at other email systems that can be automated, like Resend. Eventually I want to turn this into an automatically generated news show with HeyGen. Thanks for putting up with my agent that has been spitting out bad links lately, Brayden and I have been working on that behind the scenes to make the system more reliable. What do you think about the news site? I built it because it is just impossible for anyone to read the 30,000 posts a day that the AI industry generates here on X. Hope it helps you keep up with the models, papers, robots, company news, events, and more that everyone posts here, but that X itself has made it hard to find due to an inferior search system and an algorithm that only brings a certain kind of post to your ForYou feed, which hides a TON of interesting stuff being shared here. My lists at are getting a LOT more complete and better, been working hard on those and watch them all day long because the quality of the lists (and completeness) makes this whole pattern better.

Robert Scoble

23,232 Aufrufe • vor 1 Monat

This AI system created a viral Instagram reel with 4.1M views... completely on autopilot (linked below). These millions of views led to 10,000+ newsletter subscribers for my AI newsletter The Recap AI While most creators burn out from the daily content grind, I built an n8n automation that transforms raw AI news into scroll-stopping short-form video. Here's what happens behind the scenes: → Data ingestion agents scrape Twitter, Reddit, and top AI blogs 24/7 → AI analyzes hundreds of stories and picks the top 3-5 most engaging ones → Advanced prompts craft multiple hook variations and full video scripts → HeyGen generates AI clone of me speaking script → Video editor in india ads B roll → Everything gets delivered to Slack for quick review and approval This system has brought my Instagram account to 16,000+ followers in just a few months. That's the power of consistent, data-driven content creation. I just released a deep-dive tutorial showing exactly how this works, including the prompts I literally spent hours on making it all possible. Want me to send it to you? Like & RT this post Follow so I can DM you Comment 'SYSTEM' and I'll share the complete workflow template + all the prompts. Your next viral video is literally just one automation away.

This AI system created a viral Instagram reel with 4.1M views... completely on autopilot (linked below). These millions of views led to 10,000+ newsletter subscribers for my AI newsletter The Recap AI While most creators burn out from the daily content grind, I built an n8n automation that transforms raw AI news into scroll-stopping short-form video. Here's what happens behind the scenes: → Data ingestion agents scrape Twitter, Reddit, and top AI blogs 24/7 → AI analyzes hundreds of stories and picks the top 3-5 most engaging ones → Advanced prompts craft multiple hook variations and full video scripts → HeyGen generates AI clone of me speaking script → Video editor in india ads B roll → Everything gets delivered to Slack for quick review and approval This system has brought my Instagram account to 16,000+ followers in just a few months. That's the power of consistent, data-driven content creation. I just released a deep-dive tutorial showing exactly how this works, including the prompts I literally spent hours on making it all possible. Want me to send it to you? Like & RT this post Follow so I can DM you Comment 'SYSTEM' and I'll share the complete workflow template + all the prompts. Your next viral video is literally just one automation away.

David Roberts

13,090 Aufrufe • vor 9 Monaten

I built a local news podcast that gets generated each day with AI. Making a news show like this would normally cost $50,000+ annually. With AI Automation? $100/mo. The setup is simple: → Automatically scrapes Google News, local event feeds, twitter, reddit, and much more → Generates professional scripts with emotion and pacing controls → Produces broadcast-quality audio using ElevenLabs V3 → Operates completely hands-free once deployed The result? A business model that wasn't economically viable before AI. No hosts. No editors. No research team. Just smart automation and a few API subscriptions. This isn't about flooding the internet with crappy AI content. It's about solving real problems: like news deserts in underserved markets. The system I built in hours could theoretically power thousands of hyper-local podcasts simultaneously. When you start thinking in terms of "what can I automate," entire industries now become accessible. Before AI, the revenues you could generate by serving local news just didn't cover the expenses. Now that's changed. What other markets is that true for? Want me to send you the full system for you to clone for your small town or city? 1. Like & RT 2. Follow me (so I can dm you) 3. Comment "BLUEPRINT" below I'll send you the complete n8n template, all the prompting, and a full setup video that you can use to spin up your own local news podcast.

I built a local news podcast that gets generated each day with AI. Making a news show like this would normally cost $50,000+ annually. With AI Automation? $100/mo. The setup is simple: → Automatically scrapes Google News, local event feeds, twitter, reddit, and much more → Generates professional scripts with emotion and pacing controls → Produces broadcast-quality audio using ElevenLabs V3 → Operates completely hands-free once deployed The result? A business model that wasn't economically viable before AI. No hosts. No editors. No research team. Just smart automation and a few API subscriptions. This isn't about flooding the internet with crappy AI content. It's about solving real problems: like news deserts in underserved markets. The system I built in hours could theoretically power thousands of hyper-local podcasts simultaneously. When you start thinking in terms of "what can I automate," entire industries now become accessible. Before AI, the revenues you could generate by serving local news just didn't cover the expenses. Now that's changed. What other markets is that true for? Want me to send you the full system for you to clone for your small town or city? 1. Like & RT 2. Follow me (so I can dm you) 3. Comment "BLUEPRINT" below I'll send you the complete n8n template, all the prompting, and a full setup video that you can use to spin up your own local news podcast.

David Roberts

62,198 Aufrufe • vor 6 Monaten

I just built a Brand Operating System inside Claude Cowork 🤯 A connected system of files that every skill automatically reads from, so your hook writer, brief generator, and script writer all speak in your exact brand voice. All inside Claude Cowork. Perfect for DTC brands and agencies tired of generic AI output that sounds like every other brand in their category. If you're opening a new Claude chat and re-explaining your brand, re-pasting your voice guidelines, and re-describing your customers every single time, a Brand OS fixes the entire loop: → Build 3 foundation files once per brand → Every skill you create reads from the Brand OS automatically → Hook writer pulls your voice + customer pain points → Brief generator pulls your positioning + angles → Script writer pulls the brief + brand DNA → Every output is calibrated to your brand on the first pass No re-briefing Claude on every chat. No editing for an hour to fix generic AI phrasing. No creative that sounds like it could belong to any brand. What you get in the playbook: → The exact Brand OS file structure I use → Templates for all 3 files you can fill in for any brand → The architecture that makes every Claude skill 10x sharper → The exact setup for agencies running a Brand OS per client For agencies: this is how you build a perfect, reusable knowledge base for every client on your roster. Set up the Brand OS once per client, and every campaign after that is already calibrated. I put together a full playbook with the file templates, the architecture, and the exact setup process so you can build your own Brand OS for your brand or your clients. Want it for free? > Like this post > Comment "OS" And I'll send it over (must be following so I can DM)

Mike Futia

30,186 Aufrufe • vor 3 Monaten

I used Grok 4.5 through Hermes to automatically generate ~80% of the video below. This is part of a series for Paid Subscribers on X and Exclusive Members on YouTube called Musk Industry Daily. It autonomously does the following: It finds the latest, most important news happening in the Musk Ecosystem from the last 24 hours. Analyzes them against a knowledge repository that was cultivated from the corpus of my 1800+ videos, my 2 books, and my articles on X. It writes a script that explains what's happening, why it's important, what people are saying about it, what the risks are, and what my specific take is. It fact checks & sources the entire script and corrects any errors, plus improves any stylistic choices. It generates slides that are used as b roll material for the video. It runs it through the clone of my voice on ElevenLabs. It packages all the materials up into a Google Drive, including the script, sourcing, cue cards for editors to know when to insert materials, the voice file, and a few other reference materials. It runs daily at 12:30AM CT. The editors then take all the materials, quickly package them together into the video, and upload it to my YouTube channel for exclusive members only. Then an autonomous Hermes agent running Grok 4.5 will pick that file up, cross-post it to X for subscribers only, including a written summary of each item in the replies. -- If you find this valuable, consider becoming a subscriber!

I used Grok 4.5 through Hermes to automatically generate ~80% of the video below. This is part of a series for Paid Subscribers on X and Exclusive Members on YouTube called Musk Industry Daily. It autonomously does the following: It finds the latest, most important news happening in the Musk Ecosystem from the last 24 hours. Analyzes them against a knowledge repository that was cultivated from the corpus of my 1800+ videos, my 2 books, and my articles on X. It writes a script that explains what's happening, why it's important, what people are saying about it, what the risks are, and what my specific take is. It fact checks & sources the entire script and corrects any errors, plus improves any stylistic choices. It generates slides that are used as b roll material for the video. It runs it through the clone of my voice on ElevenLabs. It packages all the materials up into a Google Drive, including the script, sourcing, cue cards for editors to know when to insert materials, the voice file, and a few other reference materials. It runs daily at 12:30AM CT. The editors then take all the materials, quickly package them together into the video, and upload it to my YouTube channel for exclusive members only. Then an autonomous Hermes agent running Grok 4.5 will pick that file up, cross-post it to X for subscribers only, including a written summary of each item in the replies. -- If you find this valuable, consider becoming a subscriber!

Farzad 🇺🇸 🇮🇷

14,746 Aufrufe • vor 24 Tagen

How a 24-year-old programmer from Portugal made $18,200 in a month on football betting He created an AI analyst that finds flaws in bookmakers' live lines in real time and delivers predictions with an 84% win rate. Costs: $0 (Used free APIs and Windsurf IDE) He launched a Python script that maps out match videos in real time: Top layer: A Computer Vision algorithm recognizes the positions of players from both teams (blue and pink dots) and the ball, instantly transferring them onto a 2D pitch layout. This allows the AI to track team formations and open spaces in high detail, things regular bettors completely miss. Bottom layer: Python code (written alongside the Windsurf AI assistant), where the SoccerPitchConfiguration class defines the field, penalty box, and center circle dimensions down to the centimeter for perfect player-distance calculations. The AI constantly correlates the real-time movement of players on the pitch with live bookmaker odds. The moment the algorithm detects that a team has pinned their opponent into a specific zone or exposed their flanks, while the bookmaker hasn't adjusted the odds yet, the script automatically fires a betting signal. First week: >Live bets placed: 142 > Won bets: 119 > Net profit: +$4,350 using a flat $50 stake The AI completely automated the entire cycle: Windsurf and Claude wrote the tracking code, and the algorithm autonomously parses live odds, calculates the mathematical expectation of value bets, generates player heatmaps, and spots hidden tactical anomalies. It runs 100% autonomously. Bookmark it and check out the article below 👇

How a 24-year-old programmer from Portugal made $18,200 in a month on football betting He created an AI analyst that finds flaws in bookmakers' live lines in real time and delivers predictions with an 84% win rate. Costs: $0 (Used free APIs and Windsurf IDE) He launched a Python script that maps out match videos in real time: Top layer: A Computer Vision algorithm recognizes the positions of players from both teams (blue and pink dots) and the ball, instantly transferring them onto a 2D pitch layout. This allows the AI to track team formations and open spaces in high detail, things regular bettors completely miss. Bottom layer: Python code (written alongside the Windsurf AI assistant), where the SoccerPitchConfiguration class defines the field, penalty box, and center circle dimensions down to the centimeter for perfect player-distance calculations. The AI constantly correlates the real-time movement of players on the pitch with live bookmaker odds. The moment the algorithm detects that a team has pinned their opponent into a specific zone or exposed their flanks, while the bookmaker hasn't adjusted the odds yet, the script automatically fires a betting signal. First week: >Live bets placed: 142 > Won bets: 119 > Net profit: +$4,350 using a flat $50 stake The AI completely automated the entire cycle: Windsurf and Claude wrote the tracking code, and the algorithm autonomously parses live odds, calculates the mathematical expectation of value bets, generates player heatmaps, and spots hidden tactical anomalies. It runs 100% autonomously. Bookmark it and check out the article below 👇

Ridark

371,888 Aufrufe • vor 1 Monat

how to produce long form documentaries with claude this is how creators are producing long-form youtube documentaries in the sleep niche for about a low cost. you'll spend most of your effort building the workflow once, then every script after that runs through the same pipeline for cents. the format that works in this niche is different from normal youtube. your viewers are actively trying to fall asleep. that's the entire point. so people leave for two reasons: they got bored, or it worked and they're out. the ones who fall asleep come back later and keep listening. that repeat listening is a huge part of why the niche prints. which means the script is 90% of the whole thing. average view duration on my channels sits close to 25 min. that number does not come from cinematic visuals or fancy editing. it comes from narrative structure. if the script gets repetitive, drifts off topic, or loses momentum halfway, people stop listening. better footage cannot rescue a weak story here. the problem is the format does not scale on its own. one video needs a 15k-20k word script, hours of narration, hundreds of visual changes, music, and final assembly. writing that manually takes forever. editing every scene takes even longer. here's the workflow i set up: claude api (NOT the chat app. HIGHLY RECOMMENDED to not skip this. in the chat interface you end up typing "continue.. write chapter 4.. don't repeat yourself.. you forgot what happened in chapter 2" and by the halfway point it's contradicting earlier sections and drifting from the outline. you spend more time babysitting than writing. the api sends every request automatically and you pay per actual usage instead of another monthly subscription) google sheets connected to the claude api. this is the whole engine. you don't need to be a dev. the sheet does two things: first it generates the full documentary structure/outline. then it writes ONE chapter at a time instead of trying to produce the entire 20k words in a single response (which is where models fall apart). before each chapter, it passes claude three things: the outline, the instructions for that specific section, and a running summary of everything already written. that running summary is the trick. it's why chapter 8 never contradicts chapter 2. capcut ai video maker for the first edit. it generates voiceover, subtitles, and an initial visual sequence from auto-matched stock footage. the stock matching is not perfect, but it gets you a 90% first draft way faster than manually searching for hundreds of clips. note: capcut caps at 3000 words, so you split the script into sections, generate each one, export, and combine into the final video. HERE'S HOW THE PRODUCTION ACTUALLY RUNS: step 1 —> topic + title + thumbnail. do NOT skip this. ai cannot tell you which topic has demand or whether a title creates curiosity. this is where most of the value still is. figure this out before you touch any automation. step 2 —> run the sheet. it builds the outline first, then writes chapter by chapter, feeding itself the running summary each time so it stays consistent. cost for a full script usually lands around $0.30-0.40 depending on the model, input length, and number of revisions. step 3 —> paste script into capcut in sub-3000 word chunks. generate voiceover + subtitles + auto-matched visuals for each. export each section. step 4 —> combine sections into the final 2-3 hour video. then you handle the parts ai can't: pacing check, misleading visuals, final editorial judgment. the reason this matters is repeatability. every script moves through the exact same production structure, but you can still change the topic, tone, evidence, pacing, and narrative direction each time. so it stops being random one-off videos and starts being a system. the math: capcut is ~$20/mo and allows many exports. claude api is a little above thirty cents per script. at 30-40 documentaries a month that works out to roughly $1 in direct software cost per finished video. that figure does NOT include your time, research, thumbnails, subscriptions, failed ideas, or the cost of building the workflow itself. it is not the full cost of the business, it's the direct software cost. one more thing worth knowing: mixing real historical/stock footage alongside ai assets is the best defense i've found against the "reused/inauthentic content" flags that destroy fully automated channels. that's from experience, not a rule youtube publishes. this is not passive income and it's not a one-click youtube machine. it's a production system that makes experimentation cheaper. ai removes the repetitive work. it does not remove the need for taste.

how to produce long form documentaries with claude this is how creators are producing long-form youtube documentaries in the sleep niche for about a low cost. you'll spend most of your effort building the workflow once, then every script after that runs through the same pipeline for cents. the format that works in this niche is different from normal youtube. your viewers are actively trying to fall asleep. that's the entire point. so people leave for two reasons: they got bored, or it worked and they're out. the ones who fall asleep come back later and keep listening. that repeat listening is a huge part of why the niche prints. which means the script is 90% of the whole thing. average view duration on my channels sits close to 25 min. that number does not come from cinematic visuals or fancy editing. it comes from narrative structure. if the script gets repetitive, drifts off topic, or loses momentum halfway, people stop listening. better footage cannot rescue a weak story here. the problem is the format does not scale on its own. one video needs a 15k-20k word script, hours of narration, hundreds of visual changes, music, and final assembly. writing that manually takes forever. editing every scene takes even longer. here's the workflow i set up: claude api (NOT the chat app. HIGHLY RECOMMENDED to not skip this. in the chat interface you end up typing "continue.. write chapter 4.. don't repeat yourself.. you forgot what happened in chapter 2" and by the halfway point it's contradicting earlier sections and drifting from the outline. you spend more time babysitting than writing. the api sends every request automatically and you pay per actual usage instead of another monthly subscription) google sheets connected to the claude api. this is the whole engine. you don't need to be a dev. the sheet does two things: first it generates the full documentary structure/outline. then it writes ONE chapter at a time instead of trying to produce the entire 20k words in a single response (which is where models fall apart). before each chapter, it passes claude three things: the outline, the instructions for that specific section, and a running summary of everything already written. that running summary is the trick. it's why chapter 8 never contradicts chapter 2. capcut ai video maker for the first edit. it generates voiceover, subtitles, and an initial visual sequence from auto-matched stock footage. the stock matching is not perfect, but it gets you a 90% first draft way faster than manually searching for hundreds of clips. note: capcut caps at 3000 words, so you split the script into sections, generate each one, export, and combine into the final video. HERE'S HOW THE PRODUCTION ACTUALLY RUNS: step 1 —> topic + title + thumbnail. do NOT skip this. ai cannot tell you which topic has demand or whether a title creates curiosity. this is where most of the value still is. figure this out before you touch any automation. step 2 —> run the sheet. it builds the outline first, then writes chapter by chapter, feeding itself the running summary each time so it stays consistent. cost for a full script usually lands around $0.30-0.40 depending on the model, input length, and number of revisions. step 3 —> paste script into capcut in sub-3000 word chunks. generate voiceover + subtitles + auto-matched visuals for each. export each section. step 4 —> combine sections into the final 2-3 hour video. then you handle the parts ai can't: pacing check, misleading visuals, final editorial judgment. the reason this matters is repeatability. every script moves through the exact same production structure, but you can still change the topic, tone, evidence, pacing, and narrative direction each time. so it stops being random one-off videos and starts being a system. the math: capcut is ~$20/mo and allows many exports. claude api is a little above thirty cents per script. at 30-40 documentaries a month that works out to roughly $1 in direct software cost per finished video. that figure does NOT include your time, research, thumbnails, subscriptions, failed ideas, or the cost of building the workflow itself. it is not the full cost of the business, it's the direct software cost. one more thing worth knowing: mixing real historical/stock footage alongside ai assets is the best defense i've found against the "reused/inauthentic content" flags that destroy fully automated channels. that's from experience, not a rule youtube publishes. this is not passive income and it's not a one-click youtube machine. it's a production system that makes experimentation cheaper. ai removes the repetitive work. it does not remove the need for taste.

Sulfur

24,486 Aufrufe • vor 11 Tagen

She filmed herself by the pool in orange sunglasses. Told 2 million people she got rich on YouTube kids content, not OnlyFans. Then she made three mistakes. At 0:02 her hand touches her lip. Short nail. Chipped silver polish. At 0:11 the hand holding the iPad has long almond nails. French tip. Silver trim. A chunky bracelet that wasn't there before. Different woman. Same video. She tells you to "go to YouTube, these are all made with AI" and points at Doggyland. Doggyland is Snoop Dogg's 3D animation studio. Real animators. Real budget. Not AI. Then she opens a Picsart workflow and generates a cartoon using a model called "Sora 2." Sora 2 doesn't exist. She tells you to comment "flow" for the template link. That's the whole video. The flex, the tutorial, the stolen hands, the fake model. All a funnel for a DM scam. The annoying part is the actual workflow is real. Kids content does print money. You just don't need her template. Claude writes the script and the visual prompts from any transcript you paste in. Suno generates the song. Luma or Kling renders the 12 second clips. n8n stitches everything through ffmpeg on a schedule. $20 in tools. No course. No template. No DM. She sold you the dream from a pool. The dream costs less than her sunglasses.

She filmed herself by the pool in orange sunglasses. Told 2 million people she got rich on YouTube kids content, not OnlyFans. Then she made three mistakes. At 0:02 her hand touches her lip. Short nail. Chipped silver polish. At 0:11 the hand holding the iPad has long almond nails. French tip. Silver trim. A chunky bracelet that wasn't there before. Different woman. Same video. She tells you to "go to YouTube, these are all made with AI" and points at Doggyland. Doggyland is Snoop Dogg's 3D animation studio. Real animators. Real budget. Not AI. Then she opens a Picsart workflow and generates a cartoon using a model called "Sora 2." Sora 2 doesn't exist. She tells you to comment "flow" for the template link. That's the whole video. The flex, the tutorial, the stolen hands, the fake model. All a funnel for a DM scam. The annoying part is the actual workflow is real. Kids content does print money. You just don't need her template. Claude writes the script and the visual prompts from any transcript you paste in. Suno generates the song. Luma or Kling renders the 12 second clips. n8n stitches everything through ffmpeg on a schedule. $20 in tools. No course. No template. No DM. She sold you the dream from a pool. The dream costs less than her sunglasses.

Aeron

3,014,890 Aufrufe • vor 1 Monat

A 24-year-old launched a faceless YouTube channel 13 days ago. In the first month, he has already accumulated $4,000, but he has not shot a single frame.. His investment: a $20 subscription to Claude. No camera, no editor, no voice of his own. THE SYSTEM WORKS LIKE THIS: - Claude writes the full script from one topic prompt - an AI voice narrates it - an AI tool generates the animation and the visuals - one template, repeated forever: "the economics of owning an airport" / "…a private jet" / "…a hospital" - it publishes on a schedule while he sleeps The first 12 days, from zero: > "Why a Fan Can Kill You" -> 272,000 views > second video -> 136,000 views in 6 days > subscribers -> 4,300 > month-one pace -> ~$4,000 And it's replicable. One of his students launched "Mr. Finance" on the same template 13 days ago: > 10,800 subscribers > finance-niche RPM -> ~$7 per 1,000 views > one video on the economics of shopping malls -> $500+ on its own He didn't become a creator. He built a press that prints episodes. The whole stack is public. Everyone has the same $20 Claude. He just pointed it at a niche and refused to stop publishing.

A 24-year-old launched a faceless YouTube channel 13 days ago. In the first month, he has already accumulated $4,000, but he has not shot a single frame.. His investment: a $20 subscription to Claude. No camera, no editor, no voice of his own. THE SYSTEM WORKS LIKE THIS: - Claude writes the full script from one topic prompt - an AI voice narrates it - an AI tool generates the animation and the visuals - one template, repeated forever: "the economics of owning an airport" / "…a private jet" / "…a hospital" - it publishes on a schedule while he sleeps The first 12 days, from zero: > "Why a Fan Can Kill You" -> 272,000 views > second video -> 136,000 views in 6 days > subscribers -> 4,300 > month-one pace -> ~$4,000 And it's replicable. One of his students launched "Mr. Finance" on the same template 13 days ago: > 10,800 subscribers > finance-niche RPM -> ~$7 per 1,000 views > one video on the economics of shopping malls -> $500+ on its own He didn't become a creator. He built a press that prints episodes. The whole stack is public. Everyone has the same $20 Claude. He just pointed it at a niche and refused to stop publishing.

Ridark

141,495 Aufrufe • vor 13 Tagen

I just vibe coded a static ad generator in Claude Code that creates 100+ Facebook ads in minutes 🤯 One competitor ad + your product photo + your brand kit = dozens of on-brand variations, each targeting a different customer persona. Built 100% in Claude Code. Perfect for DTC brands and agencies who need more statics at scale. The problem: You find a winning ad concept and want to test 20 variations of it. That means briefing a designer, waiting days, getting back 4 options, giving notes, waiting again. Or doing it yourself in Canva for hours. This tool solves it: → Upload any competitor ad as your reference template → Add your product photos and brand kit (colors, fonts, logos) → AI generates 10 customer profiles from your brand research → Pick how many variations you want (10, 20, 30) → Tool generates on-brand ads with persona-specific copy for each one No designer back-and-forth. No Canva templates. No generic "Shop Now" on everything. What you get: → Ads that mirror winning concepts in your brand's voice → Copy targeted to specific customer pain points and personas → Multi-brand/client support with saved brand kits → Reusable customer profiles you build once and generate from forever I recorded a full walkthrough showing exactly how this works, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM)

Mike Futia

80,560 Aufrufe • vor 5 Monaten

I couldn't believe it. One product image = a full video ad with Wizstar. No script. No shoot. No editor. Just the image, one sentence of instruction, and Wizstar did everything else. It analyzes your product automatically, builds the scene around it, and generates a complete marketing video. Character stays consistent across every shot. Product details stay accurate. Audio and video sync perfectly. It powers multi-model invocation to match any style you need, and Seedance 2.0 supports face input for consistent character generation. But wait, it gets better. You can also upload any viral video from TikTok or Amazon. Then it will recreate that EXACT winning formula for YOUR product. No more guessing what works. Zero creative trial and error. Make a video today, start seeing sales in 7 days. New users get free credits on signup. First subscription is only $19 and includes a 30-second E-commerce Agent experience. Try it here: Who's making their first ad tonight? 👇 #Wizstar #AIVideo #EcommerceMarketing

I couldn't believe it. One product image = a full video ad with Wizstar. No script. No shoot. No editor. Just the image, one sentence of instruction, and Wizstar did everything else. It analyzes your product automatically, builds the scene around it, and generates a complete marketing video. Character stays consistent across every shot. Product details stay accurate. Audio and video sync perfectly. It powers multi-model invocation to match any style you need, and Seedance 2.0 supports face input for consistent character generation. But wait, it gets better. You can also upload any viral video from TikTok or Amazon. Then it will recreate that EXACT winning formula for YOUR product. No more guessing what works. Zero creative trial and error. Make a video today, start seeing sales in 7 days. New users get free credits on signup. First subscription is only $19 and includes a 30-second E-commerce Agent experience. Try it here: Who's making their first ad tonight? 👇 #Wizstar #AIVideo #EcommerceMarketing

Pradeep Pandey

59,917 Aufrufe • vor 2 Monaten

I just vibe-coded a Meta ads tool that generates 100+ new static ad concepts in minutes 🤯 Pick a product, choose how many ads you want, and the AI creates 100+ unique concepts across completely different formats, not just remixes of one ad. All inside Claude Code. Perfect for DTC brands and agencies who are tired of spinning the same 3 ad formats and need net-new concepts at scale. If you're spending hours briefing designers on new ad concepts, waiting days for a first round, getting back 4 options that all look the same, giving notes, waiting again... And then doing it all over again next week because you burned through the last batch. This tool eliminates the entire loop: → Ships with 17 pre-loaded concept formats (us vs. them, iMessage-style, bold billboards, authority figures, feature callouts, UGC product-in-hand, and more) → Each format has real ad examples baked in so the AI knows exactly what to generate → Select your product, load your customer avatars, pick how many ads you want → AI auto-selects the best concept mix for your product and audience → Preview the full concept plan before anything generates — remove or regenerate anything No waiting on designers. No recycling the same 3 templates. No generating 20 ads that all look identical. What you get: → 17 concept formats out of the box (disable any you don't want) → Upload your OWN ad formats with up to 10 examples — the AI learns and scales them → Every ad comes with the format, angle, target persona, hook, body copy, and full prompt → Multi-brand support with saved brand kits and customer profiles I recorded a full walkthrough showing the V2 concept generator in action, and I'm sharing ALL the Claude Code prompts I used to build it so you can do it yourself. Want the prompts + walkthrough for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM) @techwithashiqur

Shanto

11,789 Aufrufe • vor 4 Monaten