Joined June 2010
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mfs after automating 80% of their clipping infrastructure with claude opus 4.8:
Claude Opus 4.8 is insane for clipping After generating 1B views for brands with it, I thought I knew everything about it But this model opened up a whole world that I didn't know existed So I documented all my findings: - Why transcript-based clipping is dead and what replaced it - The raw-pixel detection system that finds viral moments human clippers miss (facial reactions, product reveals, visual tension, pattern interrupts) - The exact workflow we use to identify high-retention moments before clipping even starts - Automated market research via claude cowork (fable 5 scrolls TikTok, Reels, Shorts and X on your behalf and returns breakdowns of what's actually going viral) - The system for reverse-engineering winning formats in any niche - The complete AI production stack (Opus 4.8 → Higgsfield MCP → ChatGPT Images 2.0 → Seedance 2.0) - The personal brand case study where starting clips 2 seconds earlier dramatically improved views - The mobile gaming case study where visual triggers were driving conversions and trained clippers were completely missing them - The iGaming framework that replaced manual content selection with visual engagement scoring - The full infrastructure behind campaigns generating 1.1B views across gaming, iGaming and personal brands If you're still manually clipping from transcripts, you're already behind Like comment "OPUS" and i'll send you the ENTIRE system (Must be following RT for priority access)
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John retweeted
sweetgreen's stock jumped almost 45% in may 2026, mostly off ugc campaigns hundreds of creators started posting the new chicken caesar wrap, millions of views across all of them and it moved sales like crazy, the wraps are bringing in new customers and getting the regulars to come back more often some locations are seeing sales up around 20% and here's the smart part, the wrap is a cheaper price point than the build-your-own bowl, so the viral product is also the value play that gets people in the door management basically confirmed it on their last call, they're going all in on ugc creators and influencers going forward so this is a public, multi-billion dollar company moving real numbers off a creator army yes, the right ugc campaigns can move hundreds of millions
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- "yo bro i'm at $10k/mo" - "really? what are you doing" - "clipping the world cup"
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John retweeted
another cal ai copycat just did 7.4M views from a single video it's a faceless slideshow of Pinterest images and this is not a cal ai thing, the same format works for almost any app, you just apply it to your niche so reverse engineer it back into your own app, the viral part is already proven
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clippers thinking whether they should quit or go all in with claude fable 5:
claude fable 5 just made it possible to post 100 AI UGC videos per day across 4 platforms in JUST 30 minutes of production everything else runs 100% autonomously clippers might be cooked 😭 this mythos model watches raw video footage and finds viral moments transcripts would miss it scrolls tiktok while you sleep and builds trend reports, generating 100 production packages and renders them through higgsfield MCP without you touching another tab. so i documented the ENTIRE machine with every prompt, every setup instruction, and every workflow step here's what's inside: → the overnight market research system that runs while you sleep (cowork scrolls 5 platforms, analyzes 60-80 pieces of content each, returns a trend intelligence report with 10 specific content ideas by the time you wake up) → raw-pixel clip identification that finds moments human clippers miss (facial expression shifts, product reveals, body language peaks, visual incongruities. all timestamped and ranked by predicted virality.) → batch script and asset generation: 20 complete production packages per prompt, run 5x for 100 total (6-shot scripts, character prompts, product frame prompts, voice direction, platform captions. 15-25 minutes total.) → the higgsfield MCP pipeline that renders all 100 videos automatically (fable 5 calls seedance 2.0 directly. character reference locked. lip sync aligned. zero human involvement.) → the virality predictor that filters your top 20 candidates before posting (hook score, hold rate, brain region activation. bottom 5 get diagnosed and revised automatically.) → the CPM math: 400 platform-posts/day × 3,000 avg views = 36M views/mo = $180k/mo at $5 CPM → all 6 copy-paste prompts that run the entire machine all from my personal experience in looking behind the scenes on how Rizz App Looksmax AI Memix scaled past 7-figures with this method like comment "100" and i'll send you the ENTIRE system (must be following RT for priority access) will stop sending these out in 24h...
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claude fable 5 just made it possible to post 100 AI UGC videos per day across 4 platforms in JUST 30 minutes of production everything else runs 100% autonomously clippers might be cooked 😭 this mythos model watches raw video footage and finds viral moments transcripts would miss it scrolls tiktok while you sleep and builds trend reports, generating 100 production packages and renders them through higgsfield MCP without you touching another tab. so i documented the ENTIRE machine with every prompt, every setup instruction, and every workflow step here's what's inside: → the overnight market research system that runs while you sleep (cowork scrolls 5 platforms, analyzes 60-80 pieces of content each, returns a trend intelligence report with 10 specific content ideas by the time you wake up) → raw-pixel clip identification that finds moments human clippers miss (facial expression shifts, product reveals, body language peaks, visual incongruities. all timestamped and ranked by predicted virality.) → batch script and asset generation: 20 complete production packages per prompt, run 5x for 100 total (6-shot scripts, character prompts, product frame prompts, voice direction, platform captions. 15-25 minutes total.) → the higgsfield MCP pipeline that renders all 100 videos automatically (fable 5 calls seedance 2.0 directly. character reference locked. lip sync aligned. zero human involvement.) → the virality predictor that filters your top 20 candidates before posting (hook score, hold rate, brain region activation. bottom 5 get diagnosed and revised automatically.) → the CPM math: 400 platform-posts/day × 3,000 avg views = 36M views/mo = $180k/mo at $5 CPM → all 6 copy-paste prompts that run the entire machine all from my personal experience in looking behind the scenes on how Rizz App Looksmax AI Memix scaled past 7-figures with this method like comment "100" and i'll send you the ENTIRE system (must be following RT for priority access) will stop sending these out in 24h...
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John retweeted
i did $1M ARR with a looksmax ai app now face debloat is blowing up with girls and ecom founders are capitalizing hard one ai slideshow account did tens of millions of views but it's mainly ecom products, not an app, so a debloat app built for girls with killer distribution would do crazy
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John retweeted
an ai slideshow account is doing 15M views alone for a cal ai copycat tons of comments asking for the app name, so it's converting but they never name the app in the content, and there's no pinned comment the viral part is already done, so these two small fixes would turn it into a ton of downloads
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how it feels to run your ENTIRE AI UGC production pipeline inside just ONE chat box...
i've been testing Claude Opus 4.8 Higgsfield MCP to run our entire AI UGC production pipeline inside 1 conversation... and it has been ABSOLUTELY cooking so i've decided to document the ENTIRE system... covering the research, scripting, image gen, video animation, and closed-loop optimization that takes you from blank page to 15-25 platform-ready videos per day in 3-4 hours as a content operator (agency, brand, affiliate, solo creator, etc) here's what's included inside the guide: → parallel research in one prompt (3 sub-agents scrape Meta ad library, TikTok Creative Center, and competitor profiles simultaneously. one prompt returns one unified creative brief. replaces an entire morning of manual work) → phase 1, visual anchor creation with ChatGPT Images 2.0 (character references with identity consistency across angles, product mockups that pass the authenticity test, readable text overlays. all generated before you touch a single video tool) → phase 2, video production with Higgsfield MCP Seedance 2.0 (Claude routes the right references to the right shots automatically. no tab switching. no manual uploads. full 6-shot video produced inside one conversation) → phase 3, scripting stack inside the same chat (hooks written against the angles from your brief. platform-specific variations per video. zero context switching between research and copy) → phase 4, the closed-loop optimization that runs itself (performance data feeds back into Claude. retention drops get diagnosed automatically. new variants get generated through MCP without you touching anything. content improves every day on its own) all backed by everything i learned from seeing RIZZ APP and Looksmax AI make MILLIONS with this AI UGC method inside @affiliatenw like comment "AIUGC" and i'll send it over (must be following RT for priority access)
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i've been testing Claude Opus 4.8 Higgsfield MCP to run our entire AI UGC production pipeline inside 1 conversation... and it has been ABSOLUTELY cooking so i've decided to document the ENTIRE system... covering the research, scripting, image gen, video animation, and closed-loop optimization that takes you from blank page to 15-25 platform-ready videos per day in 3-4 hours as a content operator (agency, brand, affiliate, solo creator, etc) here's what's included inside the guide: → parallel research in one prompt (3 sub-agents scrape Meta ad library, TikTok Creative Center, and competitor profiles simultaneously. one prompt returns one unified creative brief. replaces an entire morning of manual work) → phase 1, visual anchor creation with ChatGPT Images 2.0 (character references with identity consistency across angles, product mockups that pass the authenticity test, readable text overlays. all generated before you touch a single video tool) → phase 2, video production with Higgsfield MCP Seedance 2.0 (Claude routes the right references to the right shots automatically. no tab switching. no manual uploads. full 6-shot video produced inside one conversation) → phase 3, scripting stack inside the same chat (hooks written against the angles from your brief. platform-specific variations per video. zero context switching between research and copy) → phase 4, the closed-loop optimization that runs itself (performance data feeds back into Claude. retention drops get diagnosed automatically. new variants get generated through MCP without you touching anything. content improves every day on its own) all backed by everything i learned from seeing RIZZ APP and Looksmax AI make MILLIONS with this AI UGC method inside @affiliatenw like comment "AIUGC" and i'll send it over (must be following RT for priority access)
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I'M GIVING AWAY THESE 4 GUIDES FOR FREE i posted them as 4 individual giveaways but they went so viral that i couldn't send them all manually you have links to all 4 notion docs in the comments below like this post so that it gets shown to everyone who didn't get it 💪
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life after you print $10k/mo off Clash Royale clips 💀
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we live in a period where you can make up to $10k/mo by clipping League of Legends... actually crazy
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