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🔒 Q&A w/ Nate is happening in 3 days
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🚀New Video: STOP Fixing n8n Workflows. Let Claude Code Do It.
In this video, I show you how I built a self-healing automation system using n8n and Claude Code. Whenever one of my n8n workflows throws an error, it automatically triggers an error workflow that calls Claude Code. Claude then uses its n8n MCP server to audit the broken workflow, understand what went wrong, and fix it, all without any manual intervention. I just get a notification that the error was caught and resolved. The next time the workflow runs, it works perfectly because Claude already patched it. It's like having an AI engineer on call 24/7 to maintain your automations.
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Want to get featured in front of 500,000+ people?
If you've sold an AI automation to a client, any tool, any industry, I want to hear about it. I'm collecting case studies to break down on the channel. This is your chance to build authority, get your brand out there, and showcase what you've built. 🎁 Bonus: I'll be analyzing all submissions and sharing the trends with you: what's selling, which industries are buying, and where the opportunities are. So even if you don't get featured, you'll benefit from the data. 👉 Fill it out HERE Takes 5 minutes. You can submit multiple projects.
Want to get featured in front of 500,000+ people?
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🏆 Weekly Wins Recap | Jan 17 – Jan 23
This week inside AIS+ was a reminder of what happens when clarity meets action. From massive client deals to first builds and mindset shifts, members kept stacking real progress - not theory. Here are a few standout wins 👇 👉 @David Kim closed a $385K contract with $25K upfront and a 76% profit margin - a masterclass in value-driven execution. 👉 @Rishi Raj delivered his first paid client project, shipping a complete learning platform end-to-end. 👉 @Krishna A built a lead-tracking automation using n8n + Supabase, then followed it up with his own Voice AI agent in just 3 hours. 👉 @Anthony Caspari saved a client 3+ hours with a small but powerful filtering automation - proof that tiny builds can create outsized value. 👉 @Tetsuo Koyama earned “New & Popular” on Udemy with his Dify × n8n course - global impact unlocked. 🎥 Super Win Spotlight: @Patrick Siewert | From Learning to Real Momentum Patrick joined AIS+ to strengthen his automation skills and learn how to build real-world value around them. Since joining, he’s shipped multiple personal automations, streamlined his LinkedIn content workflow, launched a newsletter and recently started a lead-gen MVP that already landed a client. 🎥 Watch Patrick share his journey 👇 Patrick’s story is a great reminder: consistent building + an active community accelerates progress faster than learning alone. ✨ Want to see wins like this every single week? Join AI Automation Society Plus and start turning learning into real builds, real clients, and real confidence 🚀
🏆 Weekly Wins Recap | Jan 17 – Jan 23
My first lead - but unsure how to charge
Just got my first ever lead, the project is about auto-replying to comments on a linkedin post. The reply is pre-drafted nothing to do with AI. There will be 2 posts every week and this needs to be done for all of them. How should this be charged? How should the pricing be structured - development charge, recurring cost etc. ?
Why Knowing the Tools Still Isn’t Enough in Automation
Many people reach a frustrating stage in automation where the tools are no longer the problem. You know how the platforms work. You understand triggers, actions, webhooks, and conditions. Yet progress feels slow, and every new build feels heavier than it should. This usually means the gap isn’t technical — it’s observational. After the tools are learned, the real leverage comes from noticing patterns in real work. Where does the same decision keep reappearing? Where do humans hesitate before acting? Where does information change hands in predictable ways? When those moments are unclear, automation feels forced. When they’re visible, automation feels obvious. Being stuck after learning the tools is often a signal that it’s time to stop building and start watching the system you’re trying to support. Once the pattern is clear, the automation almost designs itself. At that point, tools stop being the focus and return to what they were meant to be — enablers of clarity.
Why Knowing the Tools Still Isn’t Enough in Automation
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