Vinay Jain's banner

Vinay Jain

@vinayjain404 • 2,956 subscribers

Your AI growth marketer already shipped ads this morning | Co-Founder @usenotchai | Ex-Meta

Shorts

The secret to making Agentic Video actually work isn't the agent. I'm sharing what it actually is. Everyone's using the same tools now. Same models. Same agents. Same platforms. So why are some teams producing ads that convert and others producing expensive noise? The agent doesn't decide the quality of the output. The brief does. A lazy brief to an agent produces 50 lazy ads fast. A sharp brief — built on real customer language, real objections, real purchase triggers — produces 50 precision instruments. Here's what a sharp brief looks like before you open Notch Agentic Video: → The customer's exact words when they describe their problem. Not your words. Theirs. → The single objection that's stopping the unconverted customer from buying right now. → The awareness stage you're entering. Cold. Warm. Hot. Each needs a different entry point. → The one emotional outcome they're actually buying. Not the feature. The feeling. Feed that into the agent. It asks you more questions — hook type, actor tone, funnel stage. Then it builds. Voiceover, B-roll, subtitles, music. Fifty variants. One session. Agents didn't make strategy irrelevant. They made it the only thing that matters. Comment "BRIEF" below. I'll send the full framework directly. Try it here -

The secret to making Agentic Video actually work isn't the agent. I'm sharing what it actually is. Everyone's using the same tools now. Same models. Same agents. Same platforms. So why are some teams producing ads that convert and others producing expensive noise? The agent doesn't decide the quality of the output. The brief does. A lazy brief to an agent produces 50 lazy ads fast. A sharp brief — built on real customer language, real objections, real purchase triggers — produces 50 precision instruments. Here's what a sharp brief looks like before you open Notch Agentic Video: → The customer's exact words when they describe their problem. Not your words. Theirs. → The single objection that's stopping the unconverted customer from buying right now. → The awareness stage you're entering. Cold. Warm. Hot. Each needs a different entry point. → The one emotional outcome they're actually buying. Not the feature. The feeling. Feed that into the agent. It asks you more questions — hook type, actor tone, funnel stage. Then it builds. Voiceover, B-roll, subtitles, music. Fifty variants. One session. Agents didn't make strategy irrelevant. They made it the only thing that matters. Comment "BRIEF" below. I'll send the full framework directly. Try it here -

29,821 views

just cloned a competitor's 90-day winner into 30 ad variations. never opened meta ad library. signed up. competitors already mapped. their ads already pulled. picked one. hit clone. the entire research → brief → produce → edit workflow just collapsed into one click. here's what the agent does the moment you sign up. → reads your brand. stores it permanently. → maps your competitors automatically. → pulls their running ads. flags anything running 60+ days as proven. → updates daily. no manual scouting. ever. you open the tool. winners are already sitting there. you pick one. hit clone. → agent breaks down the ad. hook. script. pacing. structure. → rewrites 30 variations across cold, warm, and hot audiences. → generates avatars. pulls b-roll. adds voiceover. edits. delivers. one click. 30 finished ads. no brief. no agency. no timeline. you didn't scout. the agent was scouting before you logged in. you didn't script. the agent scripted. you didn't edit. the agent edited. the old loop: scout → screenshot → brief → wait → 3 ads → test → lose money → repeat. the new loop: open the tool → pick a winner already in your feed → clone → launch 30 → read data. same day. the brands that figure this out first won't just move faster. they'll make the old workflow extinct. comment CLONE and i'll send the full setup. (follow for dm)

18,851 views

A TikTok account hit 3M followers in just 9 days. AI Influencer. That. Doesn't. Exists. I spent time reverse-engineering it. It’s an on demand influencer engine. Same human. Dancing. Talking. Unboxing. Unlimited variants. Now here’s what’s quietly happening behind the scenes: Brands aren’t just using this. They are exploiting this. AI influencers are becoming ad infrastructure Here’s what the best teams are doing now: → Create one AI influencer with a distinct personality → Keep the face, tone, voice consistent → Change settings, hooks, scenarios every day → Run it organically to build trust signals → Turn the same character into paid ads Same character. Different contexts. Infinite variations. More variations = faster learning Faster learning = cheaper conversions The brands doing this aren’t talking about it. That’s how you know it’s working. Comment "influencer" and I’ll send the exact playbook.

A TikTok account hit 3M followers in just 9 days. AI Influencer. That. Doesn't. Exists. I spent time reverse-engineering it. It’s an on demand influencer engine. Same human. Dancing. Talking. Unboxing. Unlimited variants. Now here’s what’s quietly happening behind the scenes: Brands aren’t just using this. They are exploiting this. AI influencers are becoming ad infrastructure Here’s what the best teams are doing now: → Create one AI influencer with a distinct personality → Keep the face, tone, voice consistent → Change settings, hooks, scenarios every day → Run it organically to build trust signals → Turn the same character into paid ads Same character. Different contexts. Infinite variations. More variations = faster learning Faster learning = cheaper conversions The brands doing this aren’t talking about it. That’s how you know it’s working. Comment "influencer" and I’ll send the exact playbook.

21,296 views

Videos

Anya Rossi

sweetdream.ai

SweetDream.ai•Sponsored•Livecam

Watch Anya Live

Anya is streaming live right now! Join her private show and enjoy exclusive content.

Exclusive private shows

1.2k viewers online

Private Show

Join now for exclusive access

Free preview available • Premium content

Claude Fable + Notch = your entire growth department. Research, angle, creative, launch. All handled without a single human hand. Your growth team just became a math equation. Here's how the equation solves. → Fable took the brief. Studied the market, competitors, and reviews. Produced a research doc. → Notch took the doc. Picked the angle, wrote the ad, launched it. → From brief to 8x ROAS in 9 hours. No meetings between. Fable is the intelligence. Notch is the growth marketer. Marketers used to be people. Researchers used to be people. Your next two hires won't be. Fable + Notch. Your AI growth team. Comment TEAM to get both set up for your brand.

468,241 views • 21 days ago

agencies leave. freelancers ghost. employees quit. this one stays. notch is an self learning ai ad agent that learns your brand permanently. your voice. your visuals. your audience. what converts. it studies your competitors weekly. remembers every session. gets sharper the more you use it. try finding that loyalty from a $4k/month agency that also handles 11 other accounts. you're not renting a tool. you're training a teammate that never leaves and costs less than lunch.

1,841,051 views • 2 months ago

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.

460,360 views • 29 days ago

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.

617,739 views • 1 month ago

Meet Notch Variants. Engineering 10 distinct ads from one winner used to take 6 weeks. Notch Variants generates 20 in 6 minutes. Each one passes Andromeda's clustering check. Same structure underneath. Distinct ads for different personas. → 20 sub-agents spawn in parallel. → Each varies one surface dimension. Avatar. Environment. Casting. Lighting. → Each inherits the structure lock and your brand memory. Zero drift. → All 20 build simultaneously. One session. 20 distinct ads. It solves two problems at once. Fatigue and clustering. Your top performer stops being a one-shot. Unfair advantage for brands sitting on a winner. Drop your brand URL and your top ad. We'll spin up 20 variants in your brand.

620,022 views • 1 month ago

Memory just landed inside Notch Agents. Brand colors. Voice clones. Do-not-say words. Taste. All read before every generation. On-brand ads. Faster. With brand context. Upload your brand context once. Or teach the agent inline as you chat. Each chat is no longer a re-introduction. It's training. Drop your brand URLs and instructions in the comments. We'll spin ads around your context.

647,024 views • 1 month ago

Today we're introducing Notch Agents. One prompt. A full creative team in one chat. Publishable ad in 10 minutes. Research. Strategy. Casting. Shooting. Voicing. Editing. All agentic. Built by ex-meta ad builders. 9 years inside the machine. Now we're beating the machine. Andromeda raised the bar. 30-50 fresh creatives a month. Your stack ships 6. Notch Agents fixes it. One insight in. team of agents handles the whole ad creation process. 10 minutes later. Publishable ad out. Comment below with your URL and get campaign-ready creatives for free.

Today we're introducing Notch Agents. One prompt. A full creative team in one chat. Publishable ad in 10 minutes. Research. Strategy. Casting. Shooting. Voicing. Editing. All agentic. Built by ex-meta ad builders. 9 years inside the machine. Now we're beating the machine. Andromeda raised the bar. 30-50 fresh creatives a month. Your stack ships 6. Notch Agents fixes it. One insight in. team of agents handles the whole ad creation process. 10 minutes later. Publishable ad out. Comment below with your URL and get campaign-ready creatives for free.

789,584 views • 2 months ago

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.

410,004 views • 1 month ago

You sent your team a competitor's ad and said "make ours like this." That was nine days ago. In those nine days, their ad ran 100+ comments, 50 reshares, and never left rotation. That's not a viral fluke; that's a format that's scaling. The longer it runs, the more you know it's printing. Yours is still a brief. Here's how Notch competitor clone delivers the proven format in your brand style, fast. It opens your category's ad library in front of you. Every active ad, how long each has run, which ones are scaling. → Scroll the wall. Statics and video. → Pick the one working. The agent reads it the moment you select. → For statics it maps layout and copy. For video it goes deeper. Hook timing, pacing, script, cut rhythm, cta cadence. → Then it spins a variant in your brand. Structure preserved, your product, colors, and assets wrapped around every beat. The screenshotting doesn't make you money. Shipping does. Comment below your brand URL. We will share the competitors' insights and build an ad for you.

585,265 views • 1 month ago

i spent 7.5 years inside meta. built facebook lead ads to $1b. here's what i saw build, what no advertiser has adjusted to. before your ad hits the auction, andromeda narrows tens of millions of ads to 1,000 candidates. miss the cut, nothing else matters. andromeda rewards distinct volume. clones get clustered as one. that's why your 15-variant test ran as 1 ad. here's how to break past andromeda with notch. → one prompt in notch. 15 distinct concepts out. each varied on every dimension andromeda clusters on. → notch handles production. existing footage cast where it fits. new shots generated. brand memory keeps it all on-brand. → ship all 15 to meta. andromeda surfaces the survivors. you find winners in days, not weeks. → clone the winning structures with competitor clone. spin them into new variations. compound the wins. it's the unfair advantage for media buyers. feed andromeda diversity. or get filtered out before the auction even starts. drop your brand url. we'll spin up a distinct campaign in your brand. one andromeda actually rewards.

452,621 views • 1 month ago

Notch Clips. every other ad tool ignores the footage sitting in your dropbox and generates new clips from a prompt. notch opens your library instead. it watches every clip you have ever shot and understands what is inside each one. the mood. who is in frame. what they are doing. the quality. so when you ask it to build an ad, it does not start from scratch. it reaches into your past shoots, finds the clip that fits, and slots it into the exact moment that needs it. here is what that looks like. you had thirteen versions of one reaction shot. notch picked the one that worked and left the other twelve. not by filename. not by guessing from a reference image. it watched all thirteen and could tell the difference. that is the whole idea. the right clip was already in your library. every other tool was about to make a worse one. footage you already shot, turned into every ad you still need. drop your site and a few clips you have. notch builds the first ad from them.

Notch Clips. every other ad tool ignores the footage sitting in your dropbox and generates new clips from a prompt. notch opens your library instead. it watches every clip you have ever shot and understands what is inside each one. the mood. who is in frame. what they are doing. the quality. so when you ask it to build an ad, it does not start from scratch. it reaches into your past shoots, finds the clip that fits, and slots it into the exact moment that needs it. here is what that looks like. you had thirteen versions of one reaction shot. notch picked the one that worked and left the other twelve. not by filename. not by guessing from a reference image. it watched all thirteen and could tell the difference. that is the whole idea. the right clip was already in your library. every other tool was about to make a worse one. footage you already shot, turned into every ad you still need. drop your site and a few clips you have. notch builds the first ad from them.

406,286 views • 2 months ago

if we fuck up the ad, why should you pay? notch is the one place that doesn't charge for regenerations or edits. one price. one ad. however many tries it takes us to get it right. every "generate" is a slot pull. miss = re-roll = more credits gone. these tools don't sell you ads. they sell you chips. and the house wrote the odds. here's the math nobody runs before they load their card. a 30-second ai ad is never one generation. it's 30 to 40 pulls. → wrong face. re-roll. → hands melt. re-roll. → lip sync drifts a frame. re-roll. → b-roll doesn't match the brand. re-roll. every pull bills you. the winning clip and the garbage clip cost the exact same. you're not paying for the ad. you're paying for the misses on the way to it. the casino model (higgsfield, runway, kling, every per-credit tool): → buy credits up front → pull the lever → pay whether the clip is usable or trash → the agent loops to fix itself? your meter runs faster → you ration generations like chips at a table the finished-ad model (notch): → you direct the ad, not the generations → the agent re-rolls, iterates and fixes itself on its own dime → the misses are our cost, not your wallet → one price for the deliverable. however many pulls it took. per-credit pricing isn't pricing. it's a casino floor. the meter is the product. the ad is just the bait. you should pay for the thing you can actually run. not for the privilege of pulling the lever 40 times to find it. comment your brand below. i'll ship you 10 winning ad variations. on us. no credits. no meter. no catch. or try notch for free today.

299,225 views • 2 months ago

a tiktok account pulled 6.8M views, 312k followers, and $41,847. now brands are fighting to book her. she was built on a tuesday in 43 minutes. and no, this isn't another ai clip tool with a face on it. → before a single frame is made, the agent researches what's winning in skincare right now. then writes the script and generates the video. researched ads, not generated clips. → she's not a content play. she's a conversion engine that happens to look like a creator. → the system doesn't stitch, it strategizes. hooks, scripts, structure, tone, competitor research. think claude code, but for your entire ad pipeline. → every video that wins organically becomes the paid ad. $0 creator fees. 5.1x roas on first push. → one operator. one chat window. three personas. the brands hiring 6-person creator teams are being outperformed by someone who typed one direction and went to get coffee. comment skin for the workflow. (follow for dm) Try it here -

a tiktok account pulled 6.8M views, 312k followers, and $41,847. now brands are fighting to book her. she was built on a tuesday in 43 minutes. and no, this isn't another ai clip tool with a face on it. → before a single frame is made, the agent researches what's winning in skincare right now. then writes the script and generates the video. researched ads, not generated clips. → she's not a content play. she's a conversion engine that happens to look like a creator. → the system doesn't stitch, it strategizes. hooks, scripts, structure, tone, competitor research. think claude code, but for your entire ad pipeline. → every video that wins organically becomes the paid ad. $0 creator fees. 5.1x roas on first push. → one operator. one chat window. three personas. the brands hiring 6-person creator teams are being outperformed by someone who typed one direction and went to get coffee. comment skin for the workflow. (follow for dm) Try it here -

108,289 views • 3 months ago

$10,247/day. 30 ads. one sitting. your production team isn't slow. your production model is dead. andromeda doesn't count your ads. it counts how many look different. every ad gets an entity ID — a visual fingerprint. similar ads cluster under one ID. one ID = one auction slot. 30 "variations" with headline swaps? meta sees 3. the other 27 are ghosts. the data: → under 8 unique entity IDs = algorithm starvation → 5 creatives in rotation = 35-45% CPA spike past $3k/day → fatigue onset: 9.2 days. down from 14 last year. → top DTC brands ship 50-70 unique ads/week = $40k/month in production most brands can't touch that. so they run 5 until they die, spend 3 weeks rebuilding, and watch the next 5 die in 9.2 days. the cycle repeats. the CPA climbs. the ceiling holds. one prompt broke it: "30 video ads. each a completely different film. no two should look related." → 30 scripts — different structures, not one remixed → different talent per ad — no face appears twice → different scenes, formats, b-roll. one session. no exports. 30 creatives. 30 entity IDs. 30 auction slots. shipped before the last batch fatigues. the $40k/month production line replaced by a chat window. comment PIPELINE for the workflow.

$10,247/day. 30 ads. one sitting. your production team isn't slow. your production model is dead. andromeda doesn't count your ads. it counts how many look different. every ad gets an entity ID — a visual fingerprint. similar ads cluster under one ID. one ID = one auction slot. 30 "variations" with headline swaps? meta sees 3. the other 27 are ghosts. the data: → under 8 unique entity IDs = algorithm starvation → 5 creatives in rotation = 35-45% CPA spike past $3k/day → fatigue onset: 9.2 days. down from 14 last year. → top DTC brands ship 50-70 unique ads/week = $40k/month in production most brands can't touch that. so they run 5 until they die, spend 3 weeks rebuilding, and watch the next 5 die in 9.2 days. the cycle repeats. the CPA climbs. the ceiling holds. one prompt broke it: "30 video ads. each a completely different film. no two should look related." → 30 scripts — different structures, not one remixed → different talent per ad — no face appears twice → different scenes, formats, b-roll. one session. no exports. 30 creatives. 30 entity IDs. 30 auction slots. shipped before the last batch fatigues. the $40k/month production line replaced by a chat window. comment PIPELINE for the workflow.

38,850 views • 2 months ago

2025: team, timeline, budget, 8 ads/week 2026: one agent, full brand context, 100 ads/session. Nobody killed the old workflow. It just stopped fitting the speed of the market. The brief takes a day. The strategy takes a day. The production takes two. The revisions take another. By launch the signal you were chasing has moved. One agent loaded with your brand context doesn't chase signals. It catches them through right creative direction. Brief in. 100 engineered ads out. 10 minutes. On brand. Built to convert. Every format. Ready now. The market didn't slow down for the old workflow. The new one doesn't need it to. Join the waitlist

36,145 views • 4 months ago

We gave 1 product to 4 different AI actors inside Notch. The data was hard to ignore. Actor 1 — 24-year-old with acne scars. Actor 2 — 38-year-old mom with tired skin. Actor 3 — Dermatologist in a white coat. Actor 4 — Gym guy. Post-workout recovery. The dermatologist had the highest CTR. The mom had the highest AOV. The gym guy unlocked an audience segment nobody was targeting. The 24-year-old had the lowest CPA on cold. Same product. Same offer. 4 completely different winners for 4 completely different buyers. Here's what that taught us: Meta doesn't find your customer. It finds the version of your customer that recognizes themselves in your ad. 1 actor = 1 identity signal = 1 audience pool. 4 actors = 4 identity signals = 4 audience pools Meta now knows how to fill. You're not running 4 ads. You're telling Meta your product is for 4 different people. And Meta goes and finds all 4. 1 product. 4 actors. 4 audiences unlocked. Same afternoon. Drop "Notch" in the comments. I'll send the exact workflow.

We gave 1 product to 4 different AI actors inside Notch. The data was hard to ignore. Actor 1 — 24-year-old with acne scars. Actor 2 — 38-year-old mom with tired skin. Actor 3 — Dermatologist in a white coat. Actor 4 — Gym guy. Post-workout recovery. The dermatologist had the highest CTR. The mom had the highest AOV. The gym guy unlocked an audience segment nobody was targeting. The 24-year-old had the lowest CPA on cold. Same product. Same offer. 4 completely different winners for 4 completely different buyers. Here's what that taught us: Meta doesn't find your customer. It finds the version of your customer that recognizes themselves in your ad. 1 actor = 1 identity signal = 1 audience pool. 4 actors = 4 identity signals = 4 audience pools Meta now knows how to fill. You're not running 4 ads. You're telling Meta your product is for 4 different people. And Meta goes and finds all 4. 1 product. 4 actors. 4 audiences unlocked. Same afternoon. Drop "Notch" in the comments. I'll send the exact workflow.

25,675 views • 4 months ago

The $1B one-man company the The New York Times just profiled runs a system that got him to 833x growth. 300 users → 250,000. In 12 months. Everyone read the article and picked a side: “It’s fraud.” “It’s genius.” “It should be illegal.” I read it and saw a blueprint. Not the fake doctors. Not the AI-generated faces. Not the testimonials from people who don’t exist. I saw the layer underneath. A production system that turns one brief into hundreds of ad variants — no creative team, no studio, no media agency. One input. Hundreds of outputs. All running at once. That’s not marketing. That’s on-demand ad infrastructure. And it comes down to 5 steps. Step 1 is the architecture decision most brands skip because it doesn’t feel like “marketing.” Get it right → the other 4 become completely mechanical. That’s why he runs 800 ads while most brands struggle to ship 20 a week. Comment “Notch” and I’ll send you the full 5-step breakdown.

The $1B one-man company the The New York Times just profiled runs a system that got him to 833x growth. 300 users → 250,000. In 12 months. Everyone read the article and picked a side: “It’s fraud.” “It’s genius.” “It should be illegal.” I read it and saw a blueprint. Not the fake doctors. Not the AI-generated faces. Not the testimonials from people who don’t exist. I saw the layer underneath. A production system that turns one brief into hundreds of ad variants — no creative team, no studio, no media agency. One input. Hundreds of outputs. All running at once. That’s not marketing. That’s on-demand ad infrastructure. And it comes down to 5 steps. Step 1 is the architecture decision most brands skip because it doesn’t feel like “marketing.” Get it right → the other 4 become completely mechanical. That’s why he runs 800 ads while most brands struggle to ship 20 a week. Comment “Notch” and I’ll send you the full 5-step breakdown.

20,786 views • 3 months ago

We're excited to bring Sesame Labs out of stealth and announce our seed funding of $4.5M led by Wing VC and Our mission is to "enable people and dApps to engage with trust in a decentralized world". How did we get here?

We're excited to bring Sesame Labs out of stealth and announce our seed funding of $4.5M led by Wing VC and Our mission is to "enable people and dApps to engage with trust in a decentralized world". How did we get here?

101,240 views • 3 years ago

a 23-year-old cloned a competitor's best ad. made $52,140. the competitor made $11k from the same ad. with a 6-person team. over 4 months. the clone took 47 minutes because his girlfriend texted "where are you." that text was the real deadline: → spotted a competitors ad running 60+ days. spend trending up. confirmed winner. → fed it to the agent. → agent read the hook structure. authority figure. taboo claim. pattern interrupt at 3 seconds. → rebuilt it for cold, warm, hot. 30 creatives. → hit launch. grabbed his jacket. gone. the competitor had a 6-person creative team. the junior had a dinner reservation and notch agentic video. the ad printed $52k in 3 weeks. the competitor's original is still running at $11k. the most dangerous person in media buying right now isn't the veteran with 10 years of data. it's the junior who doesn't know enough to overcomplicate it.

a 23-year-old cloned a competitor's best ad. made $52,140. the competitor made $11k from the same ad. with a 6-person team. over 4 months. the clone took 47 minutes because his girlfriend texted "where are you." that text was the real deadline: → spotted a competitors ad running 60+ days. spend trending up. confirmed winner. → fed it to the agent. → agent read the hook structure. authority figure. taboo claim. pattern interrupt at 3 seconds. → rebuilt it for cold, warm, hot. 30 creatives. → hit launch. grabbed his jacket. gone. the competitor had a 6-person creative team. the junior had a dinner reservation and notch agentic video. the ad printed $52k in 3 weeks. the competitor's original is still running at $11k. the most dangerous person in media buying right now isn't the veteran with 10 years of data. it's the junior who doesn't know enough to overcomplicate it.

12,603 views • 2 months ago

$27k in 8 days from a sentence buried in a 3-star review. this is the most annoying gadget i have ever bought — written by a customer at 11pm. your best hook is already written. you just haven’t read it. the script: 60-year-old. back pain for decades. accepted it as normal. buys a posture corrector. it buzzes every time she slouches. annoying. every line came from reviews. → most annoying gadget i have ever bought → i was slouching constantly → standing straight without even thinking about it → i wish i had found this decades ago then stitched them into one story arc: → open with contradiction (annoying + best possible way = curiosity loop) → pain identification (slouching constantly, 60 years old, accepted it) → result that feels accidental (without even thinking about it) → emotional regret hook (wish i had found this decades ago) → product name last. not first. the workflow: → agent mines every review source — amazon, reddit, app store, support tickets → extracts sentences where customers describe the problem in their own words → extracts sentences where they describe the moment it worked → maps sentences to a story arc: contradiction → pain → result → regret → product → scripts the ad using their exact language. no polishing. no copywriting. → generates 30 variations. different customer sentences. same arc. controversial take: a copywriter writes: fix your posture in 7 days. a customer writes: this is the most annoying gadget i have ever bought. one sounds like an ad. one sounds real. guess which one people watch. rt + comment "REVIEW" i’ll send the workflow

$27k in 8 days from a sentence buried in a 3-star review. this is the most annoying gadget i have ever bought — written by a customer at 11pm. your best hook is already written. you just haven’t read it. the script: 60-year-old. back pain for decades. accepted it as normal. buys a posture corrector. it buzzes every time she slouches. annoying. every line came from reviews. → most annoying gadget i have ever bought → i was slouching constantly → standing straight without even thinking about it → i wish i had found this decades ago then stitched them into one story arc: → open with contradiction (annoying + best possible way = curiosity loop) → pain identification (slouching constantly, 60 years old, accepted it) → result that feels accidental (without even thinking about it) → emotional regret hook (wish i had found this decades ago) → product name last. not first. the workflow: → agent mines every review source — amazon, reddit, app store, support tickets → extracts sentences where customers describe the problem in their own words → extracts sentences where they describe the moment it worked → maps sentences to a story arc: contradiction → pain → result → regret → product → scripts the ad using their exact language. no polishing. no copywriting. → generates 30 variations. different customer sentences. same arc. controversial take: a copywriter writes: fix your posture in 7 days. a customer writes: this is the most annoying gadget i have ever bought. one sounds like an ad. one sounds real. guess which one people watch. rt + comment "REVIEW" i’ll send the workflow

13,007 views • 3 months ago