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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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4d •
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.
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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 🚀
16m •
So You Wanna Switch to a Mac from PC?
I've been on Mac for 15 years, but after watching so many automation pros struggle with Windows, I put together a guide on what actually changes when you switch (especially for Claude Code, n8n, and MCP servers): The TL;DR: If you're running Claude Code with MCP servers, building n8n workflows, or doing serious automation work, Mac's Unix foundation saves you hours every week. No more WSL translation layers, no more path separator nightmares, no more "why does this work on the server but not my dev machine" debugging sessions. What actually got better: - 🖥️ MCP servers just work - filesystem server, database connectors, API tools - they all assume Unix paths and execute natively on Mac - 💻 Claude Code runs seamlessly - bash scripts, file operations, terminal workflows - zero translation needed - 🐳 Docker stopped being painful - no more WSL2 overhead, memory limit tweaking, or random performance crashes - 📦 Homebrew = game changer - brew install n8n, brew install docker, done. No installer archaeology - 🧠 16GB feels like 32GB - unified memory architecture handles Claude Code + n8n + browsers better than traditional RAM - ⚡ Dev = production - your Mac terminal IS Unix, just like your Linux servers - Real talk on downsides: - ❌ Gaming performance tanks - ❌ Zero hardware upgrade path - ❌ Keyboard shortcuts break your muscle memory for 1-2 weeks - ❌ Higher upfront cost - I wrote a complete guide for the transition (mental models, technical differences, what to actually expect) - PDF attached. Worth considering if you're tired of debugging WSL and path translation issues instead of actually building automations. What's been your experience with automation tools across platforms?
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Help
I have two main goals: * I want to automate my social media content for platforms like YouTube, LinkedIn, Instagram, and Facebook. * I want to build an app for pharma marketing field staff to submit their daily reports, track client-wise sales in detail, capture location, mark attendance, and share all this data automatically. Can you please guide and help me to build this?
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A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
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