How to Recreate ANY YouTube Workflow 🔓 🤖 Just dropped a video showing you how to reverse-engineer and build ANY n8n workflow from YouTube tutorials - even if the template is behind a paywall or unavailable! I know we've all been there - you see an awesome automation in a video, but the creator doesn't share the template or it's locked behind a membership. Well, not anymore 👀 Here's what the video covers: 🔹 Finding and selecting the automation you want to replicate 🔹 Using Apify to scrape the FULL video transcription (not just summaries) 🔹 Removing timestamps with Claude for clean input 🔹 Setting up Claude Projects with the perfect prompt 🔹 Auto-generating importable n8n JSON workflows 🔹 Fine-tuning and customizing the results I walked through recreating Nate Herk's newsletter automation workflow as an example (shout out to Nate - obviously he shares his templates, but this shows you the power of the method). The best part? Claude builds you a downloadable JSON file that imports directly into n8n. You get about 80-90% of the way there automatically, then you just add your own tweaks and API keys. This is a total game-changer for learning from other creators and building your automation library without waiting for template drops or paying for access. Pro tip: Add n8n documentation and a few example workflows to your Claude Project for even better results! Peace ✌️ 📺 Watch the tutorial: https://youtu.be/wNYrp8DNQ7o

Just dropped a video showing you how to use Nano Banana in Google AI Studio, OpenRouter, and n8n I know these videos have been overdone, but I thought I would make my own! I've been seeing Nano Banana everywhere - it generates consistent characters across images and apparently it's taking over 👀 Here's what the video covers: 🔹 Using it completely FREE in Google AI Studio 🔹 How to install Google AI Studio as a Mac app 🔹 Setting up and using it in OpenRouter 🔹 Building a simple n8n workflow from scratch (way less complicated than other tutorials) I tested it with prompts like "robot walking through Medellin, Colombia" and "cool anime character walking through Toronto" - takes about 13 seconds per generation. For the n8n part, I show you the complete workflow: form submission, prompt enhancement with a basic LLM chain, HTTP request to OpenRouter, and converting the response to an actual viewable image. Most tutorials overcomplicate this stuff. I just wanted to show you the simplest way to actually get it working across all three platforms. Peace ✌️ 📺 Watch the tutorial: https://www.youtube.com/watch?v=glMQfCvgwrw