YES! FireCrawl is now a game-changer for competitor research! 🤯 This AI scraping system extracts landing page data in plain English: → Input competitor URLs from Facebook ads → Request specific data: headlines, CTAs, social proof → Auto-populates Google Sheets with clean results → Skips all the HTML mess traditional scrapers give you Built 100% in n8n. Fully automated competitor analysis. You can find the template over in the Classroom!

Multi-agent systems can completely change your AI workflows. 1 orchestrator agent + specialized sub-agents = ideal setup in n8n. For example, instead of one agent juggling 25 tools w/ a massive prompt, you can create: -- An orchestrator that routes all the requests -- An email agent that handle all communication -- A content agent that creates and researches -- A calendar agent that manage scheduling And give your Main Agent access to all these sub-agents as specialized "tools". This way, each agent uses the ideal model for its specific task + the components are reusable across multiple workflows.

Help me figure out the type of videos I should be making! I see all these crazy builds on YouTube — which seem cool! — but I'm not sure how relatable they are to the average person trying to learn AI automations. So let me know — how experienced are you in AI automation? (This will help me with the type of content I create going forward!)

Building anything cool in n8n or Gumloop?

Hi all, just taking a poll so I can help adjust what type of content I create. Why are you mainly interested in learning AI automations & AI agents? Is it so you can be an AI consultant and start your own agency? Or are you building them for yourself, for your own business?