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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
The Cost of Premature Automation
Premature automation doesn’t usually fail loudly — it fails quietly. It shows up as workflows built around assumptions that were never tested, logic that no longer matches reality, and systems that are hard to change because no one fully understands them. Automating too early often locks in decisions before a process has earned its shape. Instead of creating leverage, it creates maintenance work and hidden friction. A better approach is to let a process run manually long enough to reveal its patterns. Once the trigger, decision points, and outcome are clear, automation becomes obvious — and far more durable. Automation delivers the most value when it follows clarity, not curiosity. When do you usually know a process is ready to be automated?
The Cost of Premature Automation
The Biggest Misconception About Automation
The biggest misconception about automation is that it’s mainly about speed. In reality, automation is first about clarity. If a process is unclear, automating it only makes the confusion happen faster. Many people expect automation to fix messy workflows, poor decisions, or lack of structure. But automation simply exposes what’s already there — good or bad. The real value comes when automation is used to reinforce a well-understood system: clear triggers, intentional decisions, and outcomes that actually matter. Speed becomes a side effect, not the goal. Once that clicks, automation stops feeling magical and starts feeling reliable. Curious — what was the biggest misconception you had about automation when you first started?
The Biggest Misconception About Automation
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AI Automation Society
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