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For a serious performance marketer, finding a winning ad isn't the hardest part. It’s the part where you try to replicate and scale it across all your products without changing anything else. So we built a workflow inside Agent One to scale one winning ad across 100+ products. Here's... show more

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18,177 просмотров • 2 месяцев назад •via X (Twitter)

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The biggest problem with AI clothing ads today is fabric consistency. Most workflows can’t hold the fabric consistent through multiple environmental and human interactions - like sunlight, wind, touch, and motion. So we built a workflow inside Agent One that holds 100% fabric consistency throughout the ad. The full step-by-step workflow along with the cost and time breakdown in the video and the thread.

The biggest problem with AI clothing ads today is fabric consistency. Most workflows can’t hold the fabric consistent through multiple environmental and human interactions - like sunlight, wind, touch, and motion. So we built a workflow inside Agent One that holds 100% fabric consistency throughout the ad. The full step-by-step workflow along with the cost and time breakdown in the video and the thread.

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44,744 просмотров • 2 месяцев назад

For a Microdrama studio, the game isn't only a great script. It's shipping enough of them, fast enough, to find your winner as soon as possible. So we built a workflow inside Agent One that makes the production pipeline 5X faster - whether you're running a studio or an agency taking on series projects. Time, cost, exact steps - all in the video and the thread.

For a Microdrama studio, the game isn't only a great script. It's shipping enough of them, fast enough, to find your winner as soon as possible. So we built a workflow inside Agent One that makes the production pipeline 5X faster - whether you're running a studio or an agency taking on series projects. Time, cost, exact steps - all in the video and the thread.

Invideo

33,938 просмотров • 2 месяцев назад

AI ads have reached a point where it outperforms traditional UGC on both cost AND quality you can create everything and anything with it and the only thing stopping you is your creativity realistic UGC videos, ai animations or mix of both together (this one performed suprisingly well for us last month) for over a year now we've been using it across all my and our clients' offers, 100% legal, without deepfaking anyone or risk of being sued i cracked the code to create videos that look real, stop the scroll, convert like crazy, and are easy to automate i'm finally sharing my FULL system with you, here's what you're getting: - all the prompts im using - full step by step playbook from zero to edited ad - how i create them in less than 15mins and $2 - how to automate full pipeline and scale even more RT + reply 'ADS' and i'll send you the step-by-step system (must follow so i can dm)

AI ads have reached a point where it outperforms traditional UGC on both cost AND quality you can create everything and anything with it and the only thing stopping you is your creativity realistic UGC videos, ai animations or mix of both together (this one performed suprisingly well for us last month) for over a year now we've been using it across all my and our clients' offers, 100% legal, without deepfaking anyone or risk of being sued i cracked the code to create videos that look real, stop the scroll, convert like crazy, and are easy to automate i'm finally sharing my FULL system with you, here's what you're getting: - all the prompts im using - full step by step playbook from zero to edited ad - how i create them in less than 15mins and $2 - how to automate full pipeline and scale even more RT + reply 'ADS' and i'll send you the step-by-step system (must follow so i can dm)

MAX

22,418 просмотров • 1 месяц назад

you've bookmarked 247 winning ads on twitter. you've shipped maybe 2. the gap was never strategy. it was the production cycle between bookmark and live. the workflow that closes it sounds fake until you try it once. here's the workflow. → paste the winning ad into claude. ask for the teardown. → claude returns the hook, angle, offer, and a ready-to-use prompt. → paste into notch ad agent. it doesn't generate. it strategizes and ships. on-brand version renders. → push to meta. same day. no designer. no notion. no waiting. while the teardown thread is still arguing why the ad won, your version is collecting data on meta. drop a winning ad link in the comments. we'll spin one up for you.

Vinay Jain

617,739 просмотров • 2 месяцев назад

Here's the tutorial on how I did this "stuff" on Canva. You can use it as a reels/TikTok cover or to showcase your products... Try it and thank me later

Here's the tutorial on how I did this "stuff" on Canva. You can use it as a reels/TikTok cover or to showcase your products... Try it and thank me later

Kaosar Salam ✨

23,695 просмотров • 6 месяцев назад

Kimi CEO Zhilin Yang: "The biggest mistake in agent systems - people trying to build one smarter agent we didn't make one smarter - Kimi made a thousand: one brain, a thousand hands" here's how: step 1 → stop polishing one agent, split the task and run many in parallel - that's the real ceiling-break step 2 → give each agent a long context so it can run for days, not seconds - long context is what lets an agent run long step 3 → give each agent a strong prior, so agent-RL can search for a good solution instead of starting from zero step 4 → don't just add more data - make each token count. they hit the data wall, so they made every token 2x smarter step 5 → don't scale one brain, scale the swarm - many agents working in parallel beat one agent thinking harder he just dropped Kimi K3 - and this 40-min workflow is the best on how to actually use it watch & bookmark - then read the article on saving on agents ↓

Kimi CEO Zhilin Yang: "The biggest mistake in agent systems - people trying to build one smarter agent we didn't make one smarter - Kimi made a thousand: one brain, a thousand hands" here's how: step 1 → stop polishing one agent, split the task and run many in parallel - that's the real ceiling-break step 2 → give each agent a long context so it can run for days, not seconds - long context is what lets an agent run long step 3 → give each agent a strong prior, so agent-RL can search for a good solution instead of starting from zero step 4 → don't just add more data - make each token count. they hit the data wall, so they made every token 2x smarter step 5 → don't scale one brain, scale the swarm - many agents working in parallel beat one agent thinking harder he just dropped Kimi K3 - and this 40-min workflow is the best on how to actually use it watch & bookmark - then read the article on saving on agents ↓

codila

60,826 просмотров • 1 месяц назад

This brand had an ad hit 48x ROAS. The best part. They don't have a marketer who did this. Here's what it did instead. → Overnight, studied the brand doc top to bottom. → Read every competitor ad in the category. → Pitched 10 fresh concepts. Picked the one no human had run. → Launched it. Watched engagement climb. → Started improving the next campaign automatically. By morning, the founder woke up to notifications stacked on her lock screen. That's when she realized. This was all done by an AI growth marketer. One that decides what to make. Creates it. Launches it. All on its own. Marketers used to be people. Your next one won't be. Comment AGENT and we'll set up a free account for you.

Vinay Jain

460,360 просмотров • 1 месяц назад

Scaled Dot-Product Attention by hand ✍️ I explained attention in my recent AI seminar as follows: Step 1 — Compare We take one token as a query and compare it against all keys using dot products. This gives us a grid of similarity scores: every query against every key. Step 2 — Scale We divide those scores by √dₖ to keep the values numerically stable. Step 3 — Normalize We apply softmax to turn raw scores into a probability distribution—values between 0 and 1 that sum to 1. These are the attention weights. Step 4 — Combine We use those weights to compute a weighted sum of the values. Each output token becomes a linear combination of all previous tokens—maybe 37% from one, 23% from another, and a little from the rest. No blackbox. Just dot products, scaling, softmax, and weighted sums—built one row at a time in Excel.

Scaled Dot-Product Attention by hand ✍️ I explained attention in my recent AI seminar as follows: Step 1 — Compare We take one token as a query and compare it against all keys using dot products. This gives us a grid of similarity scores: every query against every key. Step 2 — Scale We divide those scores by √dₖ to keep the values numerically stable. Step 3 — Normalize We apply softmax to turn raw scores into a probability distribution—values between 0 and 1 that sum to 1. These are the attention weights. Step 4 — Combine We use those weights to compute a weighted sum of the values. Each output token becomes a linear combination of all previous tokens—maybe 37% from one, 23% from another, and a little from the rest. No blackbox. Just dot products, scaling, softmax, and weighted sums—built one row at a time in Excel.

Tom Yeh

31,114 просмотров • 7 месяцев назад

AI animated videos are converting harder than anything i've tested this year - and they look insane spent months figuring out the exact system, finally got it dialed in and sharing it ALL with you here's everything you get: - the animation prompting framework that gets cinematic results first try - how i keep characters & scenes consistent across unlimited clips - the method i use to scale to 30+ creatives a day without losing quality - script writer to write best scripts on autopilot rt + reply 'ANIMATE' and i'll send you step-by-step playbook (must follow so i can dm)

AI animated videos are converting harder than anything i've tested this year - and they look insane spent months figuring out the exact system, finally got it dialed in and sharing it ALL with you here's everything you get: - the animation prompting framework that gets cinematic results first try - how i keep characters & scenes consistent across unlimited clips - the method i use to scale to 30+ creatives a day without losing quality - script writer to write best scripts on autopilot rt + reply 'ANIMATE' and i'll send you step-by-step playbook (must follow so i can dm)

MAX

64,407 просмотров • 3 месяцев назад

$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)

Florin

11,098 просмотров • 20 дней назад

You don’t need a studio to make a product ad. Take a photo. Drop it into SeaArt Flow. Plan the shots and connect the frames. From static images to 3D, high-end ad visuals — all built in one workflow on SeaArt.

You don’t need a studio to make a product ad. Take a photo. Drop it into SeaArt Flow. Plan the shots and connect the frames. From static images to 3D, high-end ad visuals — all built in one workflow on SeaArt.

SeaArt.Ai🐋

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That competitor ad that's been running for 6 weeks? It's been compounding data you don't have. The physics behind it is still yours to clone. We used to watch winning ads and try to reverse engineer them manually. Screenshot. Stare. Write something similar. Never quite landed the same way. Then I realized I was copying the wrong thing. It wasn't just the visuals or the influencer . It's the creative physics. The exact second the hook lands. Where the emotional trigger sits. How the pacing holds attention through to the click. So we built a workflow around an agent that does it for you in minutes. → Competitor link dropped → Hook timing extracted → Emotional trigger identified → Scene pacing mapped → Rebuilt for your product Every week that ad runs without a clone is a week of data you're handing them for free. Comment "clone" and I'll send the exact workflow.

That competitor ad that's been running for 6 weeks? It's been compounding data you don't have. The physics behind it is still yours to clone. We used to watch winning ads and try to reverse engineer them manually. Screenshot. Stare. Write something similar. Never quite landed the same way. Then I realized I was copying the wrong thing. It wasn't just the visuals or the influencer . It's the creative physics. The exact second the hook lands. Where the emotional trigger sits. How the pacing holds attention through to the click. So we built a workflow around an agent that does it for you in minutes. → Competitor link dropped → Hook timing extracted → Emotional trigger identified → Scene pacing mapped → Rebuilt for your product Every week that ad runs without a clone is a week of data you're handing them for free. Comment "clone" and I'll send the exact workflow.

Vinay Jain

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Not all marketers are built the same. We built the Marketing Persona Agent so you can finally put a label on how you operate, and share it. Try yours via the link below, and drop your card in the comments ↓

Not all marketers are built the same. We built the Marketing Persona Agent so you can finally put a label on how you operate, and share it. Try yours via the link below, and drop your card in the comments ↓

Lunar Strategy

22,996 просмотров • 5 месяцев назад

I just built a Claude Code plugin that runs your entire Meta ads workflow 🤯 5 skills, one plugin: it spies on competitors, maps your whole category, writes your ad copy, grades it before launch, and audits your live ad account like a $10K agency. All inside Claude Code. And now, with Claude Fable 5, it's even more insane. Perfect for DTC brands, media buyers, and agencies tired of paying for 5 different ad tools that don't talk to each other. If you're spending hours scrolling the Ad Library by hand, exporting CSVs from Ads Manager every Monday, staring at a blank doc trying to write ad variation #14, launching creative and praying it converts... This plugin eliminates the entire loop: → /spy pulls every active ad a competitor is running, ranked by run-time (longevity = proven winners) → /competitors-extractor maps 3-5 brands head-to-head and finds the angles nobody's running → /bulk-creative spins 20 on-brand copy variations off the winning angle → /ad-score grades every ad 0-100 across 6 dimensions before you spend a cent → /ad-matter audits your live Meta account through Meta's official MCP and hands you a prioritized fix list No more Ad Library scrolling. No more $300/mo spy tools. No more launching blind. What you get: → Competitor intel ranked by what's actually been running longest → The open angles in your category nobody is using yet → 20 ad variations in your brand voice, on command → A 0-100 health score on your live ad account with a fix-this-week list Built 100% in Claude Code. I wrote a free step-by-step Playbook that walks you through building this entire plugin yourself: every skill, every script, every scoring rubric. Want access for free? >Like this post > Comment "SCALE" And I'll send it over (must be following so I can DM)

Mike Futia

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We made 'Agent One' Uniqlo's Campaign Manager and trained it to create 4-5 performance ads daily. Across 3 formats – product films, UGC ads, and BTS studio shoots. For ~$124 per ad, end-to-end. The full 15-min breakdown and final ad outputs in the video and the thread. If you run an e-commerce brand and you want to ship performance ads this fast, at this cost, this is the only agentic workflow you’ll ever need

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I just vibe-coded a Meta ad research app in Claude Code 🤯 One keyword search → winning ads analyzed, creative briefs generated, trends mapped, and 10 ad variations written for your brand. All inside Claude Code. Perfect for DTC brands and agencies who are still doing competitor ad research manually inside the Meta Ad Library. If you're clicking through ads one by one, watching videos, taking notes in a Google Doc, trying to reverse-engineer what's working, and then rewriting briefs from scratch every time... This app eliminates the entire loop: → Search and filter winning Facebook ads by niche, country, language, and performance tier → Watch video ads inline without leaving the app → Fetch top-performing ads and generate a full creative brief tailored to your brand → Run a trend radar across 100+ ads to see which formats, CTAs, and landing pages are dominating your niche → Pick any winning video ad and Gemini watches it, reverse-engineers the creative DNA, and generates 10 new ad variations for your product No scrolling the Ad Library for hours. No manual note-taking. No rewriting briefs from scratch. What you get: → Creative briefs generated from real winning ads in your niche → Trend analysis with format distribution, top CTAs, landing page intel, and AI insights → 10 brand-specific ad variations from any winning video — with hooks, scripts, and Nano Banana prompts → A full app you host in Replit and customize for your team Built 100% in Claude Code with the gethookd.ai API + Gemini. I put together a free playbook with every prompt I used to build this app from scratch, so you can build it yourself. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

53,409 просмотров • 4 месяцев назад

this facebook ad spy + n8n workflow is 🔥 it scrapes your competitors’ top 5 video ads, breaks down exactly why they’re working, and sends you a full report before you even wake up no manual checks no spreadsheets no guessing what’s winning the ai agent runs through each ad and analyzes: - the hook - the script structure - emotional triggers - why it works you get a morning report ready to brief your creative team before coffee perfect for agencies and e-com brands who want to stay one step ahead built 100% in n8n want the full facebook ad spy workflow? comment SPY + like this post (must be following so i can dm you)

this facebook ad spy + n8n workflow is 🔥 it scrapes your competitors’ top 5 video ads, breaks down exactly why they’re working, and sends you a full report before you even wake up no manual checks no spreadsheets no guessing what’s winning the ai agent runs through each ad and analyzes: - the hook - the script structure - emotional triggers - why it works you get a morning report ready to brief your creative team before coffee perfect for agencies and e-com brands who want to stay one step ahead built 100% in n8n want the full facebook ad spy workflow? comment SPY + like this post (must be following so i can dm you)

J.B.

30,757 просмотров • 9 месяцев назад

To the dedicated civil servants at USAID and across the government, we are with you and we have your back. Today it’s USAID, tomorrow it will be something else. We will fight for you and with you at every step.

To the dedicated civil servants at USAID and across the government, we are with you and we have your back. Today it’s USAID, tomorrow it will be something else. We will fight for you and with you at every step.

Senator Chris Van Hollen

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the best ads from notch customers. with the prompts that made them. copy a prompt. paste it into notch. ship your brand's version tonight. the prompts are in the comments. here's how each ad was made. → drop the input. a brief. an idea. a winning ad to recreate. → notch ad agent loads brand memory. strategizes the angle. produces the ad. → on-brand version renders. live to meta in one click. study them. copy them. modify for your brand. ship yours.

Vinay Jain

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0x 🤝 Coinbase We’ve published a case study on how 0x helped Coinbase 🛡️ integrate onchain markets across its products as a step toward building the Everything Exchange. This is how we did it 👇

0x 🤝 Coinbase We’ve published a case study on how 0x helped Coinbase 🛡️ integrate onchain markets across its products as a step toward building the Everything Exchange. This is how we did it 👇

0x

35,936 просмотров • 6 месяцев назад