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This 24-minute tutorial shows you exactly how to create AI UGC with GPT-6 Astra from scratch but making the UGC is the easy part the real advantage is turning it into a system that can consistently find what works and scale it that's exactly what this article breaks down:... → find UGC formats already going viral → use Astra to reverse-engineer why they work → generate new variations from those patterns → batch-create a full week of content → let your agent + Postiz organize, schedule and distribute it → track the winners and use them to build the next batch one viral format becomes dozens of pieces of content and the whole loop starts again watch the tutorial below, then read the article for the complete workflow👇show more

Nico

89,600 subscribers

17,679 görüntüleme • 3 gün önce •via X (Twitter)

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ronix ⎋ profil fotoğrafı

ronix ⎋3 gün önce

this is basically building a content engine instead of making content one by one

karla ❀ profil fotoğrafı

karla ❀3 gün önce

using the winners as input for the next batch is such a simple but powerful idea

liam. profil fotoğrafı

liam.3 gün önce

turning one winning format into a whole week of content is huge

matt profil fotoğrafı

matt3 gün önce

the reverse engineering part with Astra is probably the most useful bit

fred profil fotoğrafı

fred3 gün önce

this is where UGC gets interesting, not creation but the feedback loop

Pedro Pérez profil fotoğrafı

Pedro Pérez3 gün önce

totally agree, its simpler than people think

robert. profil fotoğrafı

robert.3 gün önce

okay i see why this is printing money rn

FlowOps Daily profil fotoğrafı

FlowOps Daily3 gün önce

GPT 6 and Nico This 24 minute tutorial are the details that make this post concrete.

Pee✌️💜 profil fotoğrafı

Pee✌️💜3 gün önce

Gpt is definitely making it easy for Creators

daemon. profil fotoğrafı

daemon.3 gün önce

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Benzer Videolar

YOU CAN CREATE UGC INFLUENCERS WITH GPT-ASTRA NOW 14 minute tutorial, start to finish. → Pick a viral format → Rebuild the hook with ChatGPT Astra → Generate the slideshow batch → Queue it in Postiz No camera. No creators. No team. 🔖 Save this.

YOU CAN CREATE UGC INFLUENCERS WITH GPT-ASTRA NOW 14 minute tutorial, start to finish. → Pick a viral format → Rebuild the hook with ChatGPT Astra → Generate the slideshow batch → Queue it in Postiz No camera. No creators. No team. 🔖 Save this.

marcus

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The idea isn't "make original content." It's find what's already working, hand it to GPT-6 Astra to reverse-engineer, then let Postiz handle the boring part. This setup is pulling +26.4M views a week! > The research: TikTok's own like-filters show what's repeatably viral, not what got lucky once > The AI's real job: GPT-6 Astra doesn't generate ideas from nothing, it extracts the pattern from proven slideshows first > The output: one winning structure becomes 20 new concepts across totally different stories > The production line: GPT Image 2.5 batch-generates a week's worth of slideshows in one sitting > The distribution: a ChatGPT agent plans the week, Postiz schedules and publishes it > The discipline: winners get variations, anything under 3k views gets cut immediately Watch this, then read the full breakdown below.

The idea isn't "make original content." It's find what's already working, hand it to GPT-6 Astra to reverse-engineer, then let Postiz handle the boring part. This setup is pulling +26.4M views a week! > The research: TikTok's own like-filters show what's repeatably viral, not what got lucky once > The AI's real job: GPT-6 Astra doesn't generate ideas from nothing, it extracts the pattern from proven slideshows first > The output: one winning structure becomes 20 new concepts across totally different stories > The production line: GPT Image 2.5 batch-generates a week's worth of slideshows in one sitting > The distribution: a ChatGPT agent plans the week, Postiz schedules and publishes it > The discipline: winners get variations, anything under 3k views gets cut immediately Watch this, then read the full breakdown below.

NeilXbt

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$74k a month generated with ai ugc ads is actually insane the entire creative system runs without filming a single traditional ugc video i don’t need to hire creators, ship products around the world or wait weeks for new content i just use ai avatars to turn winning product angles into dozens of native-looking ads every day after testing over 300 creatives across 40 different products, i figured out the exact setup that makes ai ugc look like real customer content instead of another obvious ai ad the best part is that every winning hook, script and offer can be recreated into multiple new variations in minutes > no creators to manage > no products to ship > no filming days > no expensive reshoots > no waiting weeks for new ads just a constant stream of ai ugc creatives built to test more angles, find winners faster and scale ecom brands without creative fatigue so i’m giving away the complete system > how i turn product pages into high-converting ugc scripts > the exact prompts i use to create realistic ai creators > how i generate over 100 ad variations every week > my framework for hooks, objections, benefits and demonstrations > how i identify winning creatives before increasing spend > the full workflow from product research to finished ai ugc ad rt + comment "scale" and i’ll send it (follow for dm)

$74k a month generated with ai ugc ads is actually insane the entire creative system runs without filming a single traditional ugc video i don’t need to hire creators, ship products around the world or wait weeks for new content i just use ai avatars to turn winning product angles into dozens of native-looking ads every day after testing over 300 creatives across 40 different products, i figured out the exact setup that makes ai ugc look like real customer content instead of another obvious ai ad the best part is that every winning hook, script and offer can be recreated into multiple new variations in minutes > no creators to manage > no products to ship > no filming days > no expensive reshoots > no waiting weeks for new ads just a constant stream of ai ugc creatives built to test more angles, find winners faster and scale ecom brands without creative fatigue so i’m giving away the complete system > how i turn product pages into high-converting ugc scripts > the exact prompts i use to create realistic ai creators > how i generate over 100 ad variations every week > my framework for hooks, objections, benefits and demonstrations > how i identify winning creatives before increasing spend > the full workflow from product research to finished ai ugc ad rt + comment "scale" and i’ll send it (follow for dm)

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Google Brain founder, Andrew Ng: "One of the most important skills of the future is the ability to tell a computer exactly what you want so it can do it for you." In this talk, he explains why the biggest opportunity isn't just using AI. It's learning how to turn work into agentic workflows, break tasks into steps, give agents the right tools and context, add evals, and make the whole system reliable. That's the difference between prompting an AI and engineering an agent that actually works. Watch it today, then read the full guide in the article below.

Google Brain founder, Andrew Ng: "One of the most important skills of the future is the ability to tell a computer exactly what you want so it can do it for you." In this talk, he explains why the biggest opportunity isn't just using AI. It's learning how to turn work into agentic workflows, break tasks into steps, give agents the right tools and context, add evals, and make the whole system reliable. That's the difference between prompting an AI and engineering an agent that actually works. Watch it today, then read the full guide in the article below.

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.meow talks to Youtube co-founder steve chen about UGC and UGM: “You’re obviously one of the pioneers of this thing called UGC, right? User Generated Content. And then what we are seeing now in this space is what I call UGM — User Generated Money. In UGC, the value is created from the users. And then in Web3 or crypto, the value is generated from the users too. In UGC, we move from an era of the big studios—the big studios create the content, they monetize the content, and they get the value from the content. But what you did is that you democratized the process. You allowed users to create the content, market the content too, and also get the value from the content. For example, if you’re Netflix, you have to make the content, market it, and run advertising globally. You go anywhere across the world—Japan, Tokyo, Europe—you see Netflix advertisements everywhere. But in this new era, the users are the ones that market their own content. And the same thing is happening in the crypto world. The users are generating the money, marketing the money, and getting the value of the money. There are a lot of nuances to this but generally speaking, it’s fascinating because we are really at the nexus of UGC and UGM.”

.meow talks to Youtube co-founder steve chen about UGC and UGM: “You’re obviously one of the pioneers of this thing called UGC, right? User Generated Content. And then what we are seeing now in this space is what I call UGM — User Generated Money. In UGC, the value is created from the users. And then in Web3 or crypto, the value is generated from the users too. In UGC, we move from an era of the big studios—the big studios create the content, they monetize the content, and they get the value from the content. But what you did is that you democratized the process. You allowed users to create the content, market the content too, and also get the value from the content. For example, if you’re Netflix, you have to make the content, market it, and run advertising globally. You go anywhere across the world—Japan, Tokyo, Europe—you see Netflix advertisements everywhere. But in this new era, the users are the ones that market their own content. And the same thing is happening in the crypto world. The users are generating the money, marketing the money, and getting the value of the money. There are a lot of nuances to this but generally speaking, it’s fascinating because we are really at the nexus of UGC and UGM.”

Jupiter

106,801 görüntüleme • 1 yıl önce

most people use AI to make one video. that’s not the opportunity. the opportunity is building a system that produces an entire channel. instead of starting from a blank page, find Shorts already pulling millions of views. study what’s actually working characters, story structure, opening hook, pacing, visual style, the recurring format underneath it. then turn that into a repeatable workflow: find → analyze → extract → prompt → generate → publish → repeat. find a viral video in the niche you want. extract the storytelling structure not the video, the shape of it. use AI to turn that structure into an original concept and a detailed prompt. generate the scenes. edit them together, add narration, captions, music, sound. publish. do it again. the goal was never to reinvent the internet every morning. it’s recognizing what already holds attention, then building your own original variations inside that pattern. cute animated animals, simple emotional stories, funny situations, repeatable characters one proven format becomes dozens of original variations, not one video. document the process once, and AI handles the repetitive part of every version after. find proven demand → extract the structure → create an original variation → generate → publish → study results → improve → repeat. a single video might make you $5k . a format, run as a system across a whole channel, is what gets you into five-figure-a-month territory. one video is content. a system is a business.

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These girls just revealed the AI workflow they use to monetize YouTube while living in Bali Here’s how they explain their workflow in the video: > They find viral kids’ videos on YouTube (in niches where creators can earn anywhere from $1,000 to $5,000 per million views) > They open the video’s transcript and copy it > They paste it into ChatGPT and ask it to generate a prompt for creating a similar video > They take that prompt, paste it into Picsart Flow, choose a video model (they use Sora 2 Pro in the video) and generate the content > They publish the finished video and collect the views They simply took a format that had already proven to work and turned ChatGPT plus an AI video generator into their own content production studio If you want to learn another way to create YouTube videos with AI, check out the article I linked below The author uses a completely different set of tools, so it’s worth a read Save this so you can find it later

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Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.

Simplifying AI

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I think Astra is changing editing in a pretty subtle way. Instead of giving Astra one huge instruction — “make my video” — I can use GPT-6 Astra to create specific, highly customized pieces of the edit, then let CapCut PC bring everything together. That sounds simple, but it changes the whole workflow. #GPT6Astra #CapCutPC

I think Astra is changing editing in a pretty subtle way. Instead of giving Astra one huge instruction — “make my video” — I can use GPT-6 Astra to create specific, highly customized pieces of the edit, then let CapCut PC bring everything together. That sounds simple, but it changes the whole workflow. #GPT6Astra #CapCutPC

SARAH

121,826 görüntüleme • 3 gün önce

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Anatoli Kopadze

301,759 görüntüleme • 15 gün önce

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Andrew Ng and AMD CEO leaked the plan on how anyone becomes a $40k AI engineer from scratch: 00:00 - one engineer with AI replaces 5 employees 14:15 - one day with AI replaces 3 months of work 23:28 - how to build a profitable company for $20 This free 26-minute talk is worth more than a $90,000 Stanford AI degree. Watch it today, then read the full breakdown in the article below.

Noisy

22,295 görüntüleme • 2 ay önce

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SpaceXAI engineer, Lauren Tan: "My 15-25 GrokBot agents can already replace months or even years of SpaceXAI engineers work I just have one Chief of Staff Bot that manages all the other agents. But the cost of Agents is a real problem - and we’re investing a ton in efficiency" In 30-min SpaceXAI engineer (poteto) shows how she uses GrokBot, what she has already built, and how to replicate her agent team Worth more than any course on agent engineering - from the team that is actually building this Watch it now, build your first GrokBot - then read the article and create a full 24/7 agent system for 100% of your tasks ↓

codila

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Build and operate your ICP apps straight from your favorite AI. That is what the ICP MCP connector unlocks. The first thing it gives you: automation. Hand an agent your repetitive, multi-step work and it runs the whole flow for you. Schedule it, batch it, let it connect the steps into one task. Now in preview. Arshavir Ter-Gabrielyan explains how it works. Full conversation below.

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DFINITY Foundation

24,575 görüntüleme • 1 ay önce

your ai agent tested 1,262 trading strategies overnight. by morning it had forgotten every one of them. so tonight it tests some of them again. next week, again. everything it learned is sitting in a log file that nothing reads. every run starts on the same blank page. that's why it keeps handing you the idea that already died in a crash, with a new name on it, and you pay to find out twice. ai agent already does everything a fund does. finds the idea, writes the code, tests it against years of history, puts it live, reads what went wrong afterwards. all of it runs tonight for nothing. the one thing it can't do is remember. what got tried, what failed, in which market. nobody has built that part yet. that's the whole gap. not better models. a notebook. whoever builds it first gets a system that improves every week without them touching it. read the article below and save it. it's the full guide to how an ai trading agent is built, and how to make it remember every strategy it has already tested.

your ai agent tested 1,262 trading strategies overnight. by morning it had forgotten every one of them. so tonight it tests some of them again. next week, again. everything it learned is sitting in a log file that nothing reads. every run starts on the same blank page. that's why it keeps handing you the idea that already died in a crash, with a new name on it, and you pay to find out twice. ai agent already does everything a fund does. finds the idea, writes the code, tests it against years of history, puts it live, reads what went wrong afterwards. all of it runs tonight for nothing. the one thing it can't do is remember. what got tried, what failed, in which market. nobody has built that part yet. that's the whole gap. not better models. a notebook. whoever builds it first gets a system that improves every week without them touching it. read the article below and save it. it's the full guide to how an ai trading agent is built, and how to make it remember every strategy it has already tested.

cvxv666

48,867 görüntüleme • 29 gün önce

Andrew Ng and AMD CEO revealed the plan How anyone can become a $40k AI engineer from scratch: 00:00 - one engineer with AI can replace 5 employees 14:15 - one day with AI can replace 3 months of work 23:28 - how to build a profitable company for $20 This free 26-minute talk is worth more than a $90,000 Stanford AI degree Bookmark and watch it today Then read the article below

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rari

57,158 görüntüleme • 2 ay önce

2 weeks → 2 minutes. I've been building a system that creates 20 UGC video variations from a single direction. UGC works because it feels like a real recommendation But the turnaround was 2 weeks. So we tested this workflow for a brand. It turned out to be one of the best performing ads for them. All of the direction was given to agentic video that we've been building. This is what the system does: 1️⃣ You give it a direction → product, angle, format (UGC, problem-solution, testimonial) 2️⃣ It handles the heavy lifting → hooks, scripts, structure based on what’s working 3️⃣ It builds the videos → avatars, scenes, voiceovers, edits 4️⃣ You refine in chat → faster hook, new angle, different tone 5️⃣ It outputs multiple variations instantly So your loop becomes: → 1 idea → 20 variations → test → iterate → scale That’s why some brands suddenly dominate the feed. Not better creatives. Shorter feedback loops. In paid ads: Faster iterations → faster learnings Faster learnings → better spend allocation Better allocation → higher ROAS If you want the workflow, comment “UGC” 👇

Vinay Jain

13,585 görüntüleme • 6 ay önce

The interesting part isn't just generating a product. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. It's going from a draft → real-looking product → product page in one continuous workflow. I started with a simple product concept in Dreamina. Then GPT-6 Astra interpreted the draft, built out the actual product, and used it to create the final product detail page. Dreamina's pricing also makes it practical to generate a bunch of early concepts instead of overthinking the first one. This workflow is definitely worth experimenting with. #Dreamina #DreaminaPartner

The interesting part isn't just generating a product. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. It's going from a draft → real-looking product → product page in one continuous workflow. I started with a simple product concept in Dreamina. Then GPT-6 Astra interpreted the draft, built out the actual product, and used it to create the final product detail page. Dreamina's pricing also makes it practical to generate a bunch of early concepts instead of overthinking the first one. This workflow is definitely worth experimenting with. #Dreamina #DreaminaPartner

Md Riyazuddin

61,601 görüntüleme • 2 gün önce

the V2 system is my best work yet.. i literally spent $1 to create this AI ugc video. it's actually hilarious watching people defend paying ugc creators $500. every single day you cry about it, your competitors: - test more hooks - find more winners - scale harder than you this isn't a "nice to have" skill anymore. it's the gap between scaling and dying... it's never been easier to generate content and print

the V2 system is my best work yet.. i literally spent $1 to create this AI ugc video. it's actually hilarious watching people defend paying ugc creators $500. every single day you cry about it, your competitors: - test more hooks - find more winners - scale harder than you this isn't a "nice to have" skill anymore. it's the gap between scaling and dying... it's never been easier to generate content and print

Miko

15,675 görüntüleme • 5 ay önce