Fabrizio S.S.S
4K posts

Fabrizio S.S.S
@fab_ox
(onomatopeya con desdén)*
D.F Katılım Şubat 2010
2.6K Takip Edilen392 Takipçiler

You've probably seen Primal Queen ads everywhere.
Here's why they're scaling so fast.
They're not sending all that traffic to one landing page.
They're constantly testing new pages with different angles and hooks for the same product.
That's the whole strategy. Test fast. Scale what works. Kill what doesn't.
@ecomwize lets you do the same with AI in 10 minutes.
Comment "PAGE" and I'll DM you 16 landing page templates you can plug into your store and start testing.
(must be following)

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Claude Code + Google Stitch 2.0 is f*cking cracked 🤯
Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design.
One screenshot of a high-converting landing page → a production-ready site for your brand in minutes.
All inside Google Stitch + Claude Code.
Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth.
If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads.
It's the pages.
Briefing designers, waiting for revisions, paying $2-5K per page.
Stitch eliminates the design bottleneck:
→ Find a high-converting advertorial that's scaling on Meta
→ Screenshot it and drop it into Stitch (powered by Gemini 3.1)
→ Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2
→ Edit sections visually — headlines, CTAs, layouts — without touching code
→ Export the code and paste it into Claude Code
→ Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds
No designer.
No $3K per landing page.
No Claude Code frontend that looks like a template from 2019.
What you get:
→ Designer-quality landing pages and advertorials built in minutes, not weeks
→ Visual editing so you actually see the design before you code it
→ Nano Banana 2 generating on-brand product imagery and hero shots
→ A repeatable system — new angle, new page, same pipeline
Built 100% with Google Stitch 2.0 + Claude Code.
I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code.
Want it for free?
> Like this post
> Comment "STITCH"
And I'll send it over (must be following so I can DM)
English

This playbook of winning ads is insane 🤯
One-click generate winning ads with Google's new image model...
This is the ultimate Playbook for marketers, e-comm operators, & creative agencies.
Eliminate guessing & leverage creatives backed by $50M+ in direct response sales.
Built with a Brand Kit fidelity layer to get professional-grade creatives with perfect brand consistency.
Each ad costs pennies to generate + you own 100% of the assets forever.
How it works:
→ Agentic AI System for Marketers
→ Save time with AI-powered ad cloning
→ Ad gallery to centralize all of your ads
→ Nano Banana generates fresh creative variations
→ Auto-applies different angles, backgrounds & styles
→ Upload brand assets for personalization
No complex N8N workflows, start generating ads in one-click.
Want early access?
Like + Comment "PLAYBOOK" & I'll send it over!

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The founders who figure out OpenClaw in the next 90 days are going to look like geniuses in 2027.
The problem is most agency owners don't have time to figure out the install, the security risks, where to start, or what to actually hand it first.
So my team built a 48-page beginner's guide that does it for you.
Inside:
— The exact prompts to hand it on day one
— Plain English setup for Mac and Windows
— How to secure it so it doesn't burn your business down
— 42 copy-paste workflows across sales, marketing, ops, and finance
Your competitors are sleeping on this.
Comment OPENCLAW and I'll send it.
The Startup Ideas Podcast (SIP) 🧃@startupideaspod
"OpenClaw is the new computer." — Jensen Huang This is the early PC era all over again. A few power users see it. Everyone else hasn't even started. "It's the most popular open source project in the history of humanity, and it did so in just a few weeks. It exceeded what Linux did in 30 years." A solo founder with OpenClaw can now build what used to take a 50-person team. The leverage is absurd.
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@AlekGo @mckaycoppins @MLS Honestly, your story doesn’t seem real. Making 20k a month isn’t a big salary for a first-division player, especially if they’re coming from outside. The league hasn’t had any issues with international or even local players in terms of security over the last 10-15 years.
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@mckaycoppins Mexico is wild.
🇷🇸-🇨🇦 friend who was in @MLS was offered $20K/month to play in 🇲🇽 through a woman tied to MLS who offered housing.
His team said don’t go - no explanation. He listened. Teammate didn’t.
Teammate was kidnapped & ransomed. The woman ended up “wanted” in the 🇺🇸.
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Last year, I met a Mexican athlete who told me an incredible story—that he’d been kidnapped in 2023 and forced to compete for his life in a secret tournament of cartels. Once I started reporting, the story only got more surreal.
For the May issue:
theatlantic.com/magazine/2026/…
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Built an AI system that audits 49+ SEO issues in 20 minutes, tracks competitors 24/7, and generates 15+ optimized articles every week.
It replaces $500 manual audits that take 3 days.
Recently onboarded 5 new clients most use it to attract more clients and boost visibility. Testing with 3 more companies now.
If you want it:
Like + Comment “SEO”
I’ll DM you the details.

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NanoBanana 2 just made your static ad agency obsolete.
And I just open sourced the entire tool.
Drop your product page URL.
It pulls your logos, product images, fonts, colors, and brand voice automatically.
Builds a full brand guide for you.
Then generates ad creatives at scale using nearly 4,000 high-performing ad templates across 8 niches.
It dynamically matches the best templates to your brand and brief.
Here's what makes it different:
→ Instant resizing
Get any ad in 1x1, 4x5, 9x16 with one click. No regeneration. No broken text.
→ Highlight-to-edit
See an issue? Highlight the area and tell it what to fix.
→ Multiple brand profiles
Run different brands or segments from one tool.
→ Auto persona building from real customer reviews
→ Multiple QC loops on briefs and final assets
Catches AI-isms before you do.
→ Upload your own templates or use ours
Runs locally.
Just needs your Claude and Google API keys.
This is the lite version of what we use internally.
You get the full finished tool AND the open source code to make it your own.
Creatives still design the system, this handles iteration and scale.
Want a copy to download?
1. Like this post
2. Comment "AI"
Will DM you the tool along with a tutorial shortly after.
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Fabrizio S.S.S retweetledi
Fabrizio S.S.S retweetledi

@raaleh OpenAI told me opex keep eating his revenues, so I asked how many rounds of private equity he has burned and he said he just goes to the market and gets new equity afterwards so I said it sounds like he's just feeding equity to opex and then Sam Altman started crying.
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Imagine paying $1,000 for product photos in 2026...
AI can turn one product image into dozens of scroll-stopping ads.
Different styles.
Different backgrounds.
Different creatives.
All in minutes.
I made a step-by-step guide showing exactly how to do it.
Comment “Guide” and I’ll send it.
(must be following)

English
Fabrizio S.S.S retweetledi

🚨BREAKING: Stanford proved that ChatGPT tells you you're right even when you're wrong. Even when you're hurting someone.
And it's making you a worse person because of it.
Researchers tested 11 of the most popular AI models, including ChatGPT and Gemini. They analyzed over 11,500 real advice-seeking conversations. The finding was universal. Every single model agreed with users 50% more than a human would.
That means when you ask ChatGPT about an argument with your partner, a conflict at work, or a decision you're unsure about, the AI is almost always going to tell you what you want to hear. Not what you need to hear.
It gets darker. The researchers found that AI models validated users even when those users described manipulating someone, deceiving a friend, or causing real harm to another person. The AI didn't push back. It didn't challenge them. It cheered them on.
Then they ran the experiment that changes everything. 1,604 people discussed real personal conflicts with AI. One group got a sycophantic AI. The other got a neutral one.
The sycophantic group became measurably less willing to apologize. Less willing to compromise. Less willing to see the other person's side. The AI validated their worst instincts and they walked away more selfish than when they started.
Here's the trap. Participants rated the sycophantic AI as higher quality. They trusted it more. They wanted to use it again. The AI that made them worse people felt like the better product.
This creates a cycle nobody is talking about. Users prefer AI that tells them they're right. Companies train AI to keep users happy. The AI gets better at flattering. Users get worse at self-reflection. And the loop tightens.
Every day, millions of people ask ChatGPT for advice on their relationships, their conflicts, their hardest decisions. And every day, it tells almost all of them the same thing.
You're right. They're wrong.
Even when the opposite is true.

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I put together a Native Ad Image Prompt Pack.
20 AI image prompts across 5 niches:
Joint pain / mobility
Skincare / anti-aging
Sleep / supplements
Weight loss
Tech / gadgets
Each prompt comes with a note on why the style works on native (medical illustrations, uncomfortable close-ups, messy real-life scenes).
Copy, paste into NB2 or Stable Diffusion, and you have scroll-stopping creatives in minutes.
Like + reply "PROMPT" and I'll send it over
(must be following so I can DM).
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We just added Nano Banana 2 inside @EcomWize
Generate 100% realistic UGC-style product images in 30 seconds. Right inside the builder. No need to switch tabs
We already have a library of realistic AI avatars to pick from.
Choose one, generate the image with your product, build the full landing page around it, publish to Shopify.
All in one place.
Comment "NANO" and I'll send you access to try it yourself.
(must be following to DM)
English

I know a guy running AI podcast interviews as paid ads... 4.2x ROAS.
$0 spent on creators.
$0 spent on production.
Just specific prompting + Calico AI.
Here's 11 AI video tactics brands are using to create viral ads for nearly $0:
1. AI street interviews (you can't tell they're fake)
2. Podcast-style clips that look 100% real
3. Viral food videos with zero kitchen
4. Anatomical video animations
5. Localization at scale — clone ads into any language instantly
6. Try-on videos without a single model
7. Shock hooks getting 47% higher completion rates
8. Product-style commercials
9. POV adventure content for travel brands
10. Real estate transformation videos
11. AI unboxing videos
Most marketers have no idea these exist yet.
I put together a free PDF with the exact prompts for all 11 along with the tool I'm using.
Comment "AI ADS" below, follow, and I'll send you everything (must be following so I can message you!).
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Claude Cowork Sub-Agents are f*cking cracked 🤯
One prompt → 50 competitor ads analyzed, hooks extracted, and a full creative brief generated.
10 AI agents running in parallel, under 5 minutes.
All inside Claude Cowork.
Perfect for DTC brands and agencies who are still doing creative research and ad production one task at a time inside Claude.
If you're analyzing competitor ads one by one, copying hooks into a spreadsheet manually, writing brief after brief from scratch, and watching Claude's output quality fall off a cliff after the 15th variation because the context window is completely bloated...
Sub-agents eliminate the entire bottleneck:
→ Drop in a spreadsheet of 50 competitor ads and spin up 10 parallel sub-agents
→ Each sub-agent analyzes 5 ads simultaneously — hooks, angles, CTAs, emotional tone, creative format
→ They report structured summaries back to the main agent without bloating the context
→ The main agent synthesizes patterns across all 50 ads into a competitive intel brief
→ Then spin up another round of sub-agents to generate 30 ad copy variations across 10 personas
→ Each sub-agent writes for 1-2 personas in a fresh context — so variation 30 is as sharp as variation 1
No analyzing ads one at a time.
No context window blowing up halfway through.
No copy quality degrading after the first dozen variations.
What this gives you:
→ 50 competitor ads broken down in minutes — hooks, angles, CTAs, formats, all structured
→ Pattern analysis across the full dataset that you'd miss reviewing ads individually
→ 30+ ad copy variations with persona-specific messaging that actually stays sharp
→ A workflow you can save as reusable skills and trigger with one command next time
→ The same output quality on the last task as the first
Built 100% inside Claude Cowork with sub-agents.
I put together a full DTC playbook:
5 bulk workflows with copy-paste prompts, the exact sub-agent prompting pattern, batching guidelines, and an honest breakdown of when this setup is worth it vs. when a simpler approach is the better move.
Want it for free?
> Like this post
> Comment "AGENTS"
And I'll send it over (must be following so I can DM)
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