Charlie Brewer retweeted
WALL STREET spends millions on quant teams.
I spent $20 on Claude.
Yesterday:
fired.
rent late.
$25 left in my bank account.
I opened Claude and typed:
“Analyze profitable Polymarket wallets from the last 90 days and build me an edge.”
Then went to sleep.
Woke up to:
+$4,237.
While I was asleep, the agent:
• scanned 10,000 wallets
• filtered fake alpha from real edge
• tracked sizing, timing, and conviction
• found traders consistently beating the market
Then it built a fully automated strategy:
→ monitors breaking news
→ maps narratives to active markets
→ detects mispriced odds
→ executes arbitrage
→ sizes positions dynamically
Started at 11:47 PM.
By morning:
94 trades executed.
Zero manual input.
No fear.
No greed.
No second-guessing.
Just data reacting faster than humans can.
People keep asking if AI will replace jobs.
Wrong question.
The real question is:
what happens when one person gets access to tools that used to belong only to Wall Street?
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'AutoPilot'
2. Like and Retweet this post
3. Follow me @techluisenzo
Charlie Brewer retweeted
This Claude prompt can 1-shot articles
We've generated millions of views with articles using this exact prompt and i'm giving it away for free.
RT + Comment "prompt" and i'll send it over
Charlie Brewer retweeted
My dad called Claude “a toy for people who can’t trade.”
He’s been trading for 20 years.
I didn’t argue.
I just turned the monitor toward him.
He read the results twice.
“…That can’t be right.”
27 days.
$200 → $25,400.
74% win rate.
Sharpe 2.47.
While 92% of traders lose money, a tiny fraction quietly extracts millions.
Then I showed him why.
86M+ Polymarket trades analyzed.
Every wallet.
Every entry.
Every exit.
One Claude prompt:
“Find every wallet with 100+ trades and a win rate above 70%. Rank them by profit.”
14,000 wallets scanned.
47 elite wallets found.
The top 20 earned more than the other 13,000 combined.
He looked at me and said:
“That’s not data. That’s a treasure map.”
But that wasn’t the real edge.
Three independent AI agents vote on every trade.
✅ 2 agree → Full position
⚠️ 1 agrees → Half position
❌ No consensus → No trade
That one rule eliminated nearly 40% of losing trades.
Another AI watches for fresh smart wallets entering low-liquidity markets before everyone else notices.
One wallet grew $35K into $442K.
73 live dashboards handle everything:
• Whale tracking
• Insider detection
• Wallet clustering
• Signal scoring
• Arbitrage opportunities
• Smart money monitoring
No emotions.
No guessing.
Just data and execution.
Then he asked:
“How much does this cost?”
“About $25/month.”
Silence.
“I’ve been paying analysts six figures to do half of this.”
The crazy part?
The tools are public.
Most people still think AI is just for writing emails.
Meanwhile, others are quietly using it to build an edge.
🎁 I’m putting together the exact AI trading stack, prompts, and workflow behind this.
Like + Repost + Comment “AI” and I’ll DM it to you.
Follow @NextGenAi5 for More.
Charlie Brewer retweeted
Great vision for the future of the creative industry with AI from the one person who can actually predict these things.
“As the barriers and the costs come down, more films will get made, not fewer. Studios will get to take more risks. There will be more seats at the table, and very soon entirely new forms of storytelling. In the 1980s, animation was dismissed as a niche corner of the business. Today it is one of the most beloved and profitable forms of storytelling in the world. In live action, filmmakers like Steven Spielberg, James Cameron and Peter Jackson embraced new visual tools not as shortcuts, but as instruments, and expanded cinema in the process. Every time storytelling has met a genuine technological shift, from synchronized sound to color to computer animation, it has redefined the boundaries of the medium and grown larger in the process.”
Technology has reshaped the creative industry over and over through the years, and has generally always led to an expansion of opportunity or new approaches as a result.
And even when the techniques or mediums change, the underlying need for creative skills and taste don’t go away. Just more people are able to leverage those skills effectively when a new technology arrived, and users of the tools discover novel new ways to tell stories.
The World is Changing: AI For Creativity
By Jeffrey Katzenberg
A few months ago, I sat in my office in Silicon Valley and watched as a tech founder showed me something extraordinary. On the screen was a fully realized, beautifully lit, well-composed animated scene. It was stunning and it made me feel exactly what I felt in 1986 watching Luxo Jr. That was the first time I watched a computer-animated 3D character take a breath and seem, against all reason, to have life. It left me in awe.
Later that day, I received a text from an artist I've known for thirty years, 350 miles to the south, in the city where I spent most of my career. After seeing a similar video, she texted: "Is this the end of us?" My answer was, "Certainly not.”
I have spent the better part of the last decade in Silicon Valley, but the heart of my career has been in Hollywood. Being deeply connected to both worlds means I have deep loyalties to each and a responsibility to speak honestly to both.
In 2023, I said that these new AI tools would cut the time and cost of producing world-class animation by as much as ninety percent within three years. Some colleagues were alarmed, many were furious.
There is growing fear and resistance surrounding AI within the creative community. I deeply understand it, because I've spent countless hours walking through animation studios watching gifted artists bent over their desks, rebuilding a single second of film for the tenth time because the ninth version wasn't quite right. I've sat in screening rooms where four years of people's labor played out in minutes, and I knew the name of every person that had spent countless hours bringing those images to life. The creative process is a calling, there's really no other way to describe it. From the outside some see resistance. From the inside, it is love.
People do not fight this hard for things they don't care about. The pushback coming out of Hollywood represents the collective effort of people who are deeply passionate about their craft.
Is History Repeating Itself?
The history here is more complicated than either side may realize. In 1906, the most famous composer in America, John Philip Sousa, published an essay titled “The Menace of Mechanical Music." He warned that the phonograph would become "a substitute for human skill, intelligence and soul."
Sousa's fight was not really about the machine, it was about money. The machines were playing his compositions, and the men who built them weren't paying him a cent. His campaign helped create the Copyright Act of 1909. He did not stop the technology. He changed the terms under which it could use his work.
A hundred years ago, sound came to the movies. We remember it now as a miracle, and it was. What we forget is who paid for it. Before sound, tens of thousands of musicians made their living in the orchestra pits of movie houses, scoring every film live, every night, in towns all over the world. When the soundtrack arrived, the work of one composer and one orchestra was recorded for a film that went into thousands of theaters. The union fought back with everything it had, taking out newspaper ads across the country warning against the menace of "canned music," one of them showing a mechanical man tearing the strings out of a harp while an angel wept.
They were not fools, and they were not Luddites. They were right. Those pit jobs did not come back. And yet (this is the part we have to be brave enough to admit), sound gave us the movie musical, the modern score, sfx, sound design, audio engineering, and an art form vastly larger than the one it disrupted. And it helped keep Hollywood in the forefront of world entertainment for the rest of the century and into the next. The loss was real. And yet the art form expanded.
This is a story that has been told over and over again. To resist technology is to risk irrelevance. Just look at Kodak or Blockbuster. To embrace technology is to open doors of new possibility. Just consider Apple and Netflix.
What I Learned From Walt Disney
In the mid-1980s, I was tapped to lead Disney's animation division at a moment when the studio was at an inflection point. Animation wasn't just another business unit. It was the soul of the company, a medium revered because of Walt's genius and his passion. But the production system was cumbersome and unforgiving. A single movie was 125,000 individual hand-drawn and painted cels, photographed one frame at a time. Every revision carried a cost measured in months. These degrees of difficulty shaped the kinds of stories we could tell.
We found our way forward in an unexpected place: Walt himself. The Disney archives held astonishing recordings of Walt explaining his creative process. His own writings. His notes and storyboards. Work product captured at every stage of his process. This was truly a gift. Listening, reading, sitting with the work itself, we heard him talk about character, about emotion, about how an audience feels when a character truly comes alive. He talked about making bold choices and refining a scene until it genuinely moved people. We didn't hear a word about pencils or paintbrushes. In fact, Walt was famous for being a technologist, forever hunting for state-of-the-art tools, often inventing them himself to achieve the images he saw in his head. But he never defined animation by the tools. He defined it by whether the audience believed the character. His principles were timeless. The tools were not.
That realization changed everything. We co-developed the Computer Animation Production System (CAPS) with a young Northern California company called Pixar, replacing hand-painted cels with CGI. In The Little Mermaid, the final scene shimmered with a dimensionality and light that the old process simply couldn't achieve. In Beauty and the Beast, the ballroom sequence moved with a cinematic sweep that placed the audience inside the emotion of the moment. In Aladdin, the Cave of Wonders felt vast and alive, and the Magic Carpet became an intricate, compelling character all its own. In The Lion King, the stampede carried a scale and intensity that raised the emotional stakes beyond anything we'd done before. Technology didn't diminish the craft, it expanded the canvas. It gave artists more room to create.
A decade later, the canvas expanded again. When Disney released Pixar's Toy Story, it wasn't simply a technical milestone. It was proof that a fully computer-animated film could carry real emotional weight, that it could make audiences laugh, cry, and believe. At DreamWorks, we made the difficult decision to sunset hand-drawn animation and become a fully computer-animated studio. It was the right thing to do, but it was not without pain. It cost talented people their place in an industry where they had worked their whole lives. Some made the leap to the new tools and did the finest work of their careers. Some never did.
Tools are never the point. The instruments change with every generation. What endures is taste and imagination. The magical ability to make an audience feel. One of the greatest storytellers of our generation, George Lucas, succinctly captured the eternal essence of this issue: “It’s not the how, it’s the why.”
A Distinction With a Difference
I asked one of the leading AI models a question that has been challenging me for months. What is the difference between reasoning and creating? Its answer changed how I think about almost everything happening in this industry. It said . . .
Reasoning and creating are two distinct cognitive modes, though they also work together. Reasoning is fundamentally evaluative and analytical. It operates on what already exists: facts, premises, evidence. It moves toward a conclusion that was in a sense already implied by the input. Reasoning is constrained by logic and truth. Its goal is to arrive somewhere correct, not to invent somewhere new.
Creating is fundamentally generative. It produces something that didn't exist before. And crucially, there's no single right answer waiting to be found. A blank page has infinite valid responses. Creation involves choices that can't be fully justified by logic alone. Taste, intuition and vision fill the gap where deduction runs out.
Reasoning is what Silicon Valley has been perfecting. Creating is what Hollywood has been practicing for more than a century. AI today operates almost entirely on the reasoning side of the line. It can deduce, evaluate, optimize, and pattern-match brilliantly. And while it can create, there is a real distinction to being creative. What it doesn’t yet have is those things that make us human: empathy, devotion, serendipity, the kind of creativity that comes from a person trying to say something only they could say. When the bot generates a piece of art, it is not trying to communicate anything. It is statistics, not soul; it is emulating things that have been done. By contrast, human creativity isn’t about repeating patterns of zeros and ones; it is about doing something new.
One day, AI may close this gap. Three years ago, the leaders building AI would have called what they are achieving today, improbable, if not impossible. Impossible is no longer improbable.
Today, the line between reasoning and creating is real. Even the leading technologists acknowledge we are not there yet. There is no scientific path to crossing this divide that anyone in the field can articulate today. Understanding that gap is where we will find common ground.
A Path Forward
In 2016, I closed one chapter in Hollywood with the sale of DreamWorks and opened another in Northern California, co-founding WndrCo. We’ve backed more than 50 founders building the next generation of technology and watched how breakthroughs in Silicon Valley emerge, first as experiments, then as platforms, and finally as infrastructure that reshapes entire industries. It's worth remembering that the last great revolution in animation also came from the north. Pixar was a Northern California company, forged not in the conventions of the Hollywood studio system, but in the technological breakthroughs of Silicon Valley. I've spent years on both sides of this bridge. For sure, I don’t have all the answers (take Quibi, for one!). But, from my past and present vantage points of my long career, here is what I see . . .
Brilliant people in Northern California building this technology have made something extraordinary. They have earned the right for the rest of us to be, if not believers, at least optimistic that what comes next will be remarkable. But they have not made an artist. The tools are powerful, but they are not what makes a story matter. That knowledge lives 350 miles to the south, inside people whose life's work has informed the very models you are building. The right path forward includes them by design, with credit, with consent, and with compensation. Build this with the storytellers. Not on top of them. Taste is not something that can be synthesized, it is uniquely human.
At the same time, Hollywood needs to accept that AI is not going away. The energy they are spending trying to make it disappear is energy they are not spending deciding the terms on which it will exist. And the terms are everything. The north needs something from it that they cannot build and cannot buy: creativity. The kind that takes a blank page and conjures a single right answer where there was none and has held audiences for a century. Without it, the most powerful reasoning engine ever invented will still be missing the only thing that makes a story worth telling.
The artists who learn to wield these new instruments will do things the engineers never dreamed of. They always have. Edison invented the motion picture but made terrible movies. It took Chaplin, Lloyd, Keaton and so many others to make movies emotional. Now, the canvas is about to expand yet again. We should decide now that we intend to paint on it.
There are so many valuable lessons in history. This has happened many times before, and it was never settled by the technology. It was settled by the terms. Sousa did not stop the phonograph; he helped write the law that made sure composers got paid. And two years ago, when the writers and the actors walked out, they were fighting for the very things Sousa was fighting for in 1906. Consent, compensation, the basic recognition that human creative work has a price that must be paid. The terms of that fight are still being negotiated, but the principle is older than any of us.
The tools-versus-no-tools argument is a trap. First, we must all agree that there should be terms. Then we can have the crucial debate about what fairness requires.
What I Learned From Steve Jobs
Years ago, Steve Jobs said, "It's in Apple's DNA that technology alone is not enough. It's technology married with the liberal arts, married with the humanities, that yields us the result that makes our hearts sing." He was describing a device. But he could just as easily have been describing this tale of two cities.
What I See Coming Soon
As the barriers and the costs come down, more films will get made, not fewer. Studios will get to take more risks. There will be more seats at the table, and very soon entirely new forms of storytelling. In the 1980s, animation was dismissed as a niche corner of the business. Today it is one of the most beloved and profitable forms of storytelling in the world. In live action, filmmakers like Steven Spielberg, James Cameron and Peter Jackson embraced new visual tools not as shortcuts, but as instruments, and expanded cinema in the process. Every time storytelling has met a genuine technological shift, from synchronized sound to color to computer animation, it has redefined the boundaries of the medium and grown larger in the process.
Assuredly, I don’t have all the answers, but I am confident that the creative opportunities will expand yet again. How we come through this is a choice. The north has the new tools. The south has the creative soul. The best future will draw on the best of both worlds.
Charlie Brewer retweeted
I went to a conference of over 100+ people selling digital products, each person making 7 to 9 figures per year (in Miami)
I've never felt so behind and broke even tho im making millions already
people were making millions with ebooks and courses on a variety of topics/niches: Ecom, Tik Tok shop, websites, etc
I've gathered some secret business methods including :
1) how they're getting millions of views per week
2) converting those views into $3K+ sales daily
3) how to automate the entire thing and build systems
4) breakdown example of posts and products sold
5) show you how many sales, sales calls, entire funnel
6) case studies : how complete beginners scaled to $100K+ per month within 8 months with the right methods
7) and how you can get started :)
comment "HOW" if you want this
must be following + retweet to receive
Charlie Brewer retweeted
You can build a profitable DTC ecom brand with under $50K upfront and be doing $1M+/month within 18 months and nobody talks about how repeatable the actual formula is.
Here's the exact sequence:
Month 1: Pick a category with 80%+ gross margin potential. Supplements, vitamins, wellness. Validate demand before spending a dollar on product.
Month 2: Find a manufacturer with under 8 week lead times. Non-negotiable. Long lead times kill your cash flow before you ever scale.
Month 3: Launch with influencer cohorts of 25-50 creators. Expect 10% to convert profitably. Kill the rest fast. Whitelist the winners as paid ads.
Month 4: 20-40% of your paid budget runs behind influencer-sourced creative. Your CAC drops. Your ROAS climbs.
Month 6: Build your subscription model. Lock in recurring revenue. Every subscriber is compounding LTV you don't have to re-acquire.
Month 12: You have 80% gross margins, a retention machine, and a repeatable acquisition system.
Month 18: $1M+/month is not a prediction. It's math.
Results from applying this exact system:
Without it: Random influencer outreach, no whitelisting, no subscription. Revenue flat. Margins crushed.
With the full system: 50 long term influencer partners on retainer. 20-40% of paid budget behind whitelisted creative. Subscription revenue compounding monthly.
$103M ARR. $260M exit.
The formula isn't complicated. Most people just never see it laid out clearly.
Comment "PLAYBOOK" and I'll DM it to you
**must be following + retweet
Charlie Brewer retweeted
i just wrote the entire system for scaling an offer on X in 2026
it's better than 99% of the paid "courses" you clowns keep buying
giving it away free because watching you post into the void every day is genuinely painful
inside the Inbound OS:
→ why "just post more" is the worst advice on this app
→ the positioning that makes buyers stop scrolling (yours is probably trash rn)
→ content that pulls money, not likes from other broke creators
→ how to get seen with 50 followers
→ how to turn a reply into a paid client instead of fumbling it
comment "OS" and i'll send it
(must be following + RT. i'm not chasing you.)
Charlie Brewer retweeted
i built a way to generate realistic AI influencer vlogs without ever touching a camera.
this was supposed to stay internal but f*ck it, i'm leaking the entire production system.
pick any topic.
or paste in a script.
a few minutes later you've got a finished influencer-style vlog with:
> a consistent AI character
> cinematic shots
> natural dialogue
> realistic iPhone footage
> b-roll
here's how it works:
the workflow first breaks your script into a complete scene-by-scene storyboard with timestamps, camera directions, dialogue, environments, pacing, and shot planning so every clip has a purpose instead of feeling randomly generated.
each scene gets its own reference image prompt for Higgsfield that locks the character's identity, clothing, camera angle, lighting, and environment to keep the person looking the same across the entire vlog.
those reference images are then animated in Seedance 2.5 using scene-specific prompts that control movement, lip sync, ambient audio, dialogue, camera motion, and timing so every clip feels like it was filmed on an iPhone instead of generated by AI.
finally everything gets assembled in CapCut with b-roll, subtitles, transitions, music, pacing, and final polish into a complete vlog that's ready to upload.
you're not filming,hiring actors or recording voiceovers.
the whole thing goes from idea → finished AI influencer vlog.
the document i'm sharing includes:
> the complete scene breakdown framework
> every Higgsfield image prompt
> every Seedance 2.5 animation prompt
> dialogue for every scene
> b-roll prompts
> editing workflow inside capcut
> structural notes that make the vlog feel real instead of AI
RT + reply "AI VLOG", i'll DM you the entire production blueprint.(must be following so i can DM.)
🤝 Paid partnership
this is f*cking insane
you can use Seedance 2.5 UNLIMITED for the next 33 days..
Seedance 2.5 is not some random model. this is genuinely one of the best AI video models on the market right now..
> 30 second vidoes in a single generation
> 50 input references
> automated video editing
we're seeing insane results with this model.. the quality is genuinely on another level compared to what most people are using
33 days of unlimited access means you can stress test every single workflow you have. you can pump out hundreds of videos. you can build an entire content library at zero cost
i put together everything you need to get started..
RT + comment "SEEDANCE" and i'll send you the link for where to access it for free (must follow so i can dm)
🤝 Paid partnership
Charlie Brewer retweeted
Most people want to become AI Engineers
Very few know what to learn next
That's why I'm giving away one of the best Agentic AI Engineer Roadmaps for FREE to the first 4500 people only
Inside you'll learn
✅ Python Fundamentals
✅ LLM Fundamentals
✅ LangChain LangGraph CrewAI AutoGen
✅ LCEL Runnables & Workflows
✅ Memory Systems
✅ Tool Integrations
✅ RAG Systems
✅ Multi Agent Systems
✅ Real World AI Projects
✅ Interview Questions & Answers
72 Hours Only
How to get
Follow me (so I can DM you)
Like + RT
Comment "ROADMAP"
Once the limit is reached I'll stop sending it.
Charlie Brewer retweeted
i just figured out how to get flawless generations in Seedance 2.5 every single time
every generation costs real money and one vague prompt means you're paying for a clip that goes straight to trash
i burned through more credits than i want to admit before i figured out the fix, a single prompt template that comes back CLEAN every time, 30 second continuous shot, character locked, camera doing exactly what i wrote, nothing random in the frame
the difference is structure, the model reads timestamps, reference assets and constraints way better than loose descriptions, so i stopped describing vibes and started scripting seconds
i packaged my entire template and i'm giving it away today:
-prompt template for full 30-second videos (first try output, no rerolls)
-the reference asset setup that keeps characters locked across the whole clip
-my negative prompt list that kills 90% of weird AI artifacts
-how to run 2.5 without torching your budget
RT + reply "SEEDANCE" and i send it over (must follow so i can dm)
it’s coming soon to higgsfield, so bookmark this, you’ll need it
🤝 Paid partnership
Charlie Brewer retweeted
I spent 65 hours creating a NEW Miro board which shows you exactly step by step how I made $15M with my digital products business
it includes case studies of 8+ accounts on X doing $100K/month profits each
( including full funnels )
Comment “Miro” and I’ll send it to you via DM
**must be following + retweet to receive
Charlie Brewer retweeted
Yang Mun is sold. $170K. He's not mine anymore.
Which means I can finally give away the exact playbook that built him.
→ how I picked a character that hit 6M
→ the 3 script formulas behind 70M views
→ the 5-tool pipeline (5 min per video)
→ the 5 income streams that made $500K
I was going to charge $500 for this but he's sold now so F*ck it its FREE
RT + reply "ROADMAP" (must follow so I can DM you)
Charlie Brewer retweeted
You can start an AI digital products business with $0 upfront and be making $15K–$80K/month within 90 days and nobody talks about how simple the actual setup is
here's the exact sequence:
Day 0: Pick a niche and audience. Women 35–65. Ecom operators. YouTube creators. Doesn't matter. Takes 3 minutes.
Day 1: Use AI to generate a 200-page ebook on that niche's #1 pain point. Takes 15 minutes. Price it at $300.
Day 2: Create an X theme page for that niche. Faceless. AI-generated content. Takes 10 mins to set up.
Day 3: Use AI to generate 300 tweets in 15 minutes. Schedule them out. Page runs on autopilot.
For 30 days, post 3–5 times per day. Educational value. No selling yet. You're building what Twitter's algorithm rewards: consistent activity and engagement signals.
Day 30: Turn on the auto-DM software. Every person who likes or comments gets an instant personalized DM with a link to buy.
AI bots handle the entire conversation. Objections. Follow-ups. Closing. 24/7 without you touching it.
Results from one of my pages targeting women 35–65:
Without the system (random posting, no automation):
Sales: 0
Followers gained: minimal
Revenue: $0
Same niche, WITH the full system running:
Less than 5,000 total views on 1 post
17 sales at $300 each
$5,100 from a brand new page with almost no reach
The cost to build this entire operation: under $45/month in tools
The AI generates the content. The AI generates the product. The bots do the selling. You collect the money.
Here's the full sequence for maximum output:
Week 1: Set up page, generate ebook, load 300 tweets into scheduler
Week 2: Page posts automatically while you do nothing
Week 3: Layer in auto-DM software, connect to sales page
Week 4: First sales start hitting. Optimize the DM sequence.
Month 2: Add a second page in a second niche. Stack the income. then third. keep repeating.
Month 3: You have 3–5 pages each generating $15K–$80K/month
Total time investment after setup: 3-7 hours per week
Every "make money online" guru tells you to grind content manually, build an audience slowly, and hope something converts. Nobody mentions that AI can do 95% of the work and the pages that win aren't run by humans at all.
Because the gurus are selling you their time-for-money model. This is the leverage model. Completely different game.
if you want the full gameplan, then
comment "X" and I'll DM it to you
**must be following + retweet
the system our agency uses to produce ad creatives for paying b2b clients is now written down in a free doc.
it's a claude code build. one intake form takes the icp, pain, offer and cta, and it returns 100+ finished meta statics, each one a different concept with the message designed inside the artwork.
the doc is the full build, not a summary:
> all 20 prompts in build order, each a complete brief you paste as written
> the 80-entry template and visual metaphor library, with the seed entries claude code expands for you
> the fire-and-forget layer, so batches finish with the laptop closed and archive themselves before provider links expire
> a worked example from a real ad copy to a folder your media buyer can upload straight to ads manager
the wall in this video came off one run. the whole build takes about 2 hours.
like + comment "ENGINE" and i'll dm you the doc. (following + rt for priority access)
Charlie Brewer retweeted
We’ve officially hit the point where AI UGC is cheaper AND better than real UGC.
This video is 100% AI and cost under $1. (And no, it’s not Sora, Veo, or Kling).
My system is built for mass-scale organic across thousands of accounts. Here is why it wins:
- Hyper-realistic visuals: Natural physics and movement look flawless.
- Insane cost efficiency: Costs pennies compared to traditional UGC programs.
-Consistent audio: High-quality, rock-solid voiceover throughout.
- Infinite scaling: Videos can run to any length cost-effectively.
This changes everything.
Want the WORKFLOW? Check the comments!
i should never be sharing this but f*ck it
Gemini Omni + GPT Images 2 + tiktok is THE best combo for AI videos
i cracked the formula for generating videos that look hyper realistic & make your audience feel like "holy shit this person gets me"
i'm finally sharing my FULL system with you..
here's what you're getting:
- my prompting method for realistic voices (works every time)
- my realistic human movements & breathing trick (this is key for realistic videos)
- my exact method on how to make infinite length videos that maintain consistency
- how to get AI tools for dirt cheap (90% off)
RT + reply 'OMNI' and i'll send you the step-by-step system (must be following so i can dm)
Charlie Brewer retweeted
Opus 4.8 just turned Claude Code into a $200K content team.
(the same system behind 30M+ views and 90K followers on my own content)
→ No more $5K/month ghostwriters who can't calibrate to your voice
→ No more AI that forgets your business the second you close the chat
→ No more content that dies after 5 posts with zero pipeline to show for it
→ No more 40 hours and 5 people to ship a week of posts
Just your voice, your buyer language, your top hooks loaded → 5 agents
running in parallel, 50 posts shipped in one Claude Code session.
Here's how it works:
→ Content Production Engine (drafter + auditor + 3 hook variants + visual brief, all parallel)
→ Buyer-Voice Corpus Builder (50 sales calls distilled into the language every post loads before drafting)
→ Verbatim Objection Extractor (buyer pain turned into your next 10 post angles)
→ 50-Source Research Brief (thought leadership synthesized from 50 sources in one session)
→ 100K-Line Codebase Migrator (architect + audit stack, same parallel architecture)
Built on the infrastructure I run for Fortune 500 operators.
Runs 30+ agents in parallel. Zero ghostwriters.
One session. 50 posts in your voice.
Results on my own content:
- 30M+ organic views
- 90K+ collective followers
- 30 AI agents running in production
- Zero ghostwriters. Zero burnout.
Want the complete build?
Like + comment "OPUS" + repost, and I'll DM it to you.
(must be following)
Charlie Brewer retweeted
I've never shared this before, but screw it.
I'm finally sharing my Claude Cowork Workflows that makes me $50,000 per month selling eBooks.
Like, RT and Comment ‘NEED’ & I’ll DM you the full guide for FREE.
Follow me first so I can DM.
FREE for 48 hours only.




























