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Raven Wilson Ⓜ️Ⓜ️T
@RavenWilso68381
Joined April 2023
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75 Followers
81 Posts
A 19-year-old asked ChatGPT how to get his first 1,000 followers on TikTok.
It told him to build one AI girl people could recognize instantly.
He locked the same face, room and visual style, then posted 5 short clips a day.
For 8 days, the account barely moved.
Then he fed everything back into ChatGPT → turned the best hooks, poses and prompts into skill folders → posted 10 more.
One finally broke through.
1,000 followers turned into 12K+ within a week.
He used the same AI girl for paid brand content and made $5,800 that month.
Hollywood can spend $20M+ on a single A-list actress for one movie.
I spent $69 building my own AI actress and turned her into cinematic scenes like this from my laptop.
The same content system made me $14,000 last month through trailers, client work and digital products.
> Claude turns the idea into a story, dialogue and scene beats
> Midjourney builds the actress, locations and cinematic keyframes
> Runway turns those frames into movie-style shots
> ElevenLabs gives the character a consistent voice
> Suno builds the score around each scene
> CapCut turns everything into trailers, Shorts and social clips
> views turn into AdSense, commissions, sponsors and digital products
The real advantage is that I can reuse the same AI actress in every new scene.
Hollywood hires an actress for one production.
I built mine once and keep reusing her.
The full workflow, prompts and monetization system are in the article below.
A 19-year-old asked Claude how to catch his first 1 million views on TikTok.
It told him to stop making random clips and build one repeatable character people recognize instantly.
He created one AI girl, locked her face, outfit and room, then tested 5 short formats a day.
The first 10 videos went nowhere.
Then he fed the results back into Claude > turned the winning hooks, poses and prompts into skill folders > posted 9 more.
One hit 1M.
Three days later, the account was past 4.8M views and 16K new followers.
Brands started asking if the same AI girl could feature their products.
$5,900 in deals that month.
The skill folders are in the article below.
Universal can spend around $8M just to put 30 seconds of a Jurassic World trailer in front of the Super Bowl audience.
I spent $70 making this trailer about the extinction of the dinosaurs from my laptop.
The same AI trailer workflow made me $14,000 last month.
> Claude turns the dinosaur extinction idea into a script and scene beats
> Midjourney generates the cinematic dinosaurs, environments and key shots
> Runway turns those stills into moving blockbuster-style scenes
> ElevenLabs and Suno add the trailer voice, sound and cinematic score
> CapCut turns everything into one fast-paced 60–90 second trailer
> the same format gets pushed to YouTube, TikTok, Reels and X
> views turn into AdSense, client trailers, sizzle reels and digital products
The weird part is you don't need to make the movie anymore.
You only need to make the 90 seconds that make people wish the movie existed.
I broke down the entire workflow, prompts and monetization system in the article below.
@rich_odinn no way bro it's possible
@rimtoln she looks so cute
A 19-year-old asked Claude how to get 1 million views on TikTok.
It told him to build an AI girl around one thing people struggle to scroll past: unfinished actions.
He kept the same face, room and framing, then posted 5 clips a day.
For 10 days, nothing passed 200 views.
Then he ran the workflow back through Claude > organized it into skill folders > posted 8 more.
One exploded.
11.4M views. 34K+ new followers. One AI girl.
He turned the attention into paid brand content and made $6,900 that month.
I spent $49 building my own AI actors and made them star in a film from my laptop.
Within the next 48 hours, clips from it pulled 1.8M+ views across TikTok, Shorts and Reels.
Hollywood can spend millions on actors, sets and VFX before a movie ever reaches the screen.
I created the characters, directed the scenes, animated them and cut everything myself.
The $49 went into the AI tools that handled most of the production.
And once the actors were built, I could reuse the same characters in new scenes instead of starting from zero every time.
What used to need a studio, a crew and a huge budget can now be done by one person with the right workflow.
I broke down the exact tools, prompts and process in the article below.
A 21-year-old asked Claude how to make money with an AI influencer without growing a huge audience.
It told him to sell the content, not the followers.
He built one AI girl, kept the same face and style, then made short fashion clips for small brands.
For 10 days, nobody cared.
Then he ran the process back through Claude > organized it into skill folders > sent 18 targeted pitches.
Four brands replied.
Two booked monthly content packages.
$6,400 that month from one AI model.
No shoots, no travel, no real influencer.
Disney can spend $200M on a single movie just to compete for attention.
A 20-year-old creator can spend $50–70/month making GTA VI clips and turn the same attention into $7,000–$9,000/month.
Just one repeatable content system built around the biggest gaming release on the internet.
> Reddit, Discord and GTA VI news surface the best moments daily
> Claude turns them into hooks, scripts and viral concepts
> visuals get generated and cleaned up in one AI session
> clips get animated, paced and polished in CapCut
> the same format gets pushed to YouTube Shorts, TikTok, Reels and X
> views turn into sponsors, affiliates and digital products
The advantage isn’t spending more money.
It’s finding what GTA VI fans already want to watch, turning it into content fast, and repeating the formats that actually hit.
And if you don’t want to end up like CJ fighting another guy for the last GTA VI copy, follow the workflow instead.
The full system is in the article below.
A 29-year-old from Chattanooga built one AI girl with Claude and sold her to brands.
No audience, no shoot days, no travel. Just product clips delivered in 48 hours.
He pitched 52 hosiery and lingerie brands. Four replied, two signed.
Then he ran the workflow back through Claude and turned it into skill folders.
Same girl, same room, same lighting. Only the product changed.
That gave him one reusable virtual model he could sell again without rebuilding from scratch.
$5,400 for a month of clips made in three days.
A 23-year-old turned one saved tweet about liquidation distance into a live dashboard with Claude.
No alpha. No trading signals. No prediction model.
Just the part of leverage most people only understand after the position is already gone.
He spent 9 days building it and around $60 in Claude API calls.
The idea was simple: show how much price has to move against you at 2x, 5x, 10x, 25x, 50x, and 100x before the exchange takes the trade back.
Then he added the pieces traders usually learn too late:
margin ratio, borrowed exposure, liquidation bands, stop vs liquidation, funding, and cascade flow.
The dashboard doesn't try to guess where price goes next.
It shows the number that already exists the moment you open the trade.
Most trading tools sell certainty.
This one sells arithmetic.
And arithmetic doesn’t need to be bullish or bearish to be useful.
A 22-year-old used Claude to build one AI girl for skincare brands instead of trying to grow her own audience.
He generated short product demos showing the same face, bathroom, lighting and camera angle with a different product each time.
He pitched 36 brands. Five replied, three bought a test batch. The first week brought in $4,200.
Then he turned the workflow into Claude skill folders so he could swap products without rebuilding the character from zero.
Same AI girl, same setup, different client. A full batch now takes hours instead of days.
A 23-year-old built the liquidation dashboard behind ScalpX Intel's most-saved post with Claude and made $9,800 last month.
He wrote it in 9 days for about $60 in Claude API calls.
One tweet started it: the exact % a price needs to move against you at each leverage level before the loan calls itself back.
That tweet outperformed everything else the account had posted.
He gave Claude the leverage table and asked for a live dashboard: margin ratio, liquidation distance, cascade tree.
Claude built it and tracks every number live. He has never placed a trade.
The dashboard doesn't predict price. It shows the number already decided the moment a position opened.
Most trading tools sell a signal and hope. His sells arithmetic that doesn't need to be right, only true.
Every prompt behind the dashboard is in the article below👇
@Shelpid_WI3M i can't believe it
@ScottyBeamIO it's so scary man
@RetroChainer so tiny and usefull
@RetroChainer looks great
@RetroChainer i didn't know how it looks like
@RetroChainer you are so right
@Shelpid_WI3M interesting
@ScottyBeamIO funny robot
@0xRafy usefull lecture
@0xRafy amazing explanation
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