I got tired of chasing freelancers for UGC.So I built a system instead. UGC works insanely well for e-commerce, but the production process is painful:brief → freelancer → revisions → waiting → high costs.The moment you want to scale, everything breaks. That’s why I built Sirac AI — a controlled UGC automation system. It works as a 7-step production pipeline: 1. Create & refine the model 2. Integrate the product 3. Generate AI product visuals 4. Generate product videos 5. Create UGC A-ROLL scenes 6. Create UGC B-ROLL scenes 7. Merge everything into one final UGC ad video Why this matters: - Unlimited UGC variations from the same product - Built for testing & scaling - Less dependency on freelancers - A repeatable system, not a messy process I also recorded an 8-minute video where I show the full workflow and the final output. Curious question for the community:What’s the hardest part of UGC production for you right now — cost, revisions, speed, or scaling?

I just dropped a new video breaking down the core nodes you need to understand if you want to build solid, scalable automations in n8n this year. This is based entirely on real experience — from simple CRM automations to complex AI-powered workflows with agents, tools, and sub-flows. In the video, I walk through: - The triggers you’ll use all the time (and why they’re more powerful than they look) - How to properly use Set / Edit Fields to clean and structure data - Why HTTP Request + Code unlock almost any integration - When to use IF vs Switch - The difference between AI Agents vs Message Model steps - Why Sub-workflows are a must once things start getting complex If you’ve ever built something that worked but felt overcomplicated — this video will help you rethink how you design automations. 👉 Watch the full breakdown here: https://youtu.be/LOTsPJplHnA?si=e8u7ka7w7w-vfKJt I’d also recommend revisiting one of your older workflows after watching and asking yourself:“How would I rebuild this today using these nodes?”