I built an AI system that automates product video creation for entire e-commerce catalogs.
(Saves ~$30K per collection shoot and boosts on-site conversion rates by ~20%)
Here’s how the automation actually works:
→ Firecrawl scrapes product images directly from any e-commerce collection page
→ Google’s Veo 3.1 generates realistic model videos showing fit, movement, and drape
→ Each video begins and ends on the original product image for perfect looping
→ Videos are auto-named, organized, and stored in Google Drive
→ Everything runs in batch—no manual work while it processes
The result: fashion brands can showcase every SKU with video, not just hero products—and engagement jumps immediately.
Static product photos aren’t enough anymore.
Shoppers want to see how clothes move before they buy.
If you want the full blueprint, do this:
1️⃣ Like & RT this post
2️⃣ Follow me (so I can DM you)
3️⃣ Comment “FIT”
I’ll send you the full n8n workflow, all prompts, and a step-by-step setup video—for free.
No more $30K shoots.
No more guessing if your product pages convert.
Everyone should learn Claude Code!
So I made a FREE course for non-coders! 🎉
[⚠️ Comment "Claude" & I'll DM you the link]
By now, you've probably heard:
→ Claude Code is not just for code.
It's a powerful AI agent that can help you with basically anything you do on the computer.
I really mean anything.
Writing, research, design, building, emails, life stuff – Claude Code helps you do all these things better and faster than ever.
I personally use Claude Code all day, every day.
And I've never even been nearly as productive as I am now. This is the future.
Over 2000 PMs have completed my Claude Code for PMs course.
People keep saying – "it's aimed at PMs but useful for everyone."
So I'm launching... 🥁🥁🥁
Claude Code for Everyone!
🔹 Complete guide for non-technical people
🔹 Analyze files, run research, build systems
🔹 Free! Other courses literally charge $1,000+
The most awesome part:
→ Learn Claude Code IN Claude Code!
You'll work through realistic files directly IN Claude Code, so everything is applicable.
It's really cool. People have literally called CC for PMs a masterpiece 💅
Even if you are completely non-technical, this guide helps you at every step of the way.
Here's exactly what's in the course:
Module 1: Claude Code Core Features
🚀 1.1: Introduction
🔍 1.2: File Exploration
📁 1.3: Working with Files
⌨️ 1.4: Commands
🤖 1.5: Agents
🎭 1.6: Sub-agents
🧠 1.7: Project Memory
⚡ 1.8: Power Features Intro
And this is only the beginning:
Coming Jan 15: Vibe Coding 101
→ Actually build and deploy something!
→ Vibecode guides NEVER teach deployment
→ Zero coding background needed
Coming next:
→ Connect AI to Everything (MCPs & APIs)
→ Complete Guide to Skills
→ Advanced Vibecoding
Plus – this will become THE Claude Code community for sharing:
→ Definitive resources
→ Creative use cases
→ Proven prompts
Claude Code has changed my life.
I bet it will change yours.
⚠️ Do these things to get it:
1. REPOST this post
2. FOLLOW me so I can DM
3. COMMENT "Claude" & I'll DM you!
f*ck it, i'm leaking my complete app building system...
for only 24hrs, you get access to:
- my full vibe coding setup with Anything AI & Max
- 10 validated app ideas i was gatekeeping
- how to go from 0 to $10k/month with the setup
basically the entire workflow for building apps with an autonomous AI engineer
reply "MAX" + RT & like and i'll send it over (must be following so i can dm)
Gemini 3 has a capability most people don't even know exists.
it's not the 1M tokens.
it's not the multimodal processing.
it's something else entirely.
And it's the reason I built 3,000+ prompts specifically for Gemini 3.
Everyone talks about Gemini's specs:
→ 1 million token context
→ Native multimodal inputs
→ Deep Think mode
→ Agentic workflows
But they're missing what happens when you combine these features.
The secret is persistent systems thinking.
Gemini 3 doesn't just process large contexts.
It maintains coherent reasoning ACROSS those contexts while simultaneously:
- Analyzing images
- Reading documents
- Planning multi-step workflows
- Adapting based on previous outputs
This creates emergent capabilities that don't exist in other models.
I built 3,000+ prompts that exploit this.
Each prompt is built around this core insight:
Gemini 3's real power isn't WHAT it can process.
It's HOW it connects everything together.
The library includes:
✓ 3,000+ production-ready prompts
✓ Organized by difficulty (beginner → advanced)
✓ Real use cases for each prompt
Like, RT + reply "GEMINI" and I'll DM you the guide.
(Must be following so I can DM)
Skip this and keep wondering why your Gemini results feel the same as ChatGPT.
Or grab the library and start using the capability everyone's missing.