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🔒 Q&A w/ Nate is happening in 5 days
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🚀New Video: n8n 2.0: Self-Healing Workflows with Claude Code
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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🚀New Video: Master 95% of Claude Code in 36 Mins (as a beginner)
In this video, I break down everything you need to know to use Claude Code effectively for building automations. I cover the interface and what actually matters, the WAT framework we use to build every automation, how to communicate clearly with Claude Code and get it to ask the right questions during planning, the superpowers like MCP servers and Claude skills, and how to test, optimize, and deploy your workflows so they run automatically. No fluff, I build a real workflow live so you can see exactly how it all comes together. By the end of this video, you'll understand Claude Code better than most people using it and have a clear framework for building your own workflows.
What confused you way more than you expected?
Honest question for builders: When you first started working with AI automations / agents, what part turned out to be far more confusing or fragile than you expected? Could be: - Inputs & data structure - Edge cases - Prompts / output consistency - Integrations & auth - Monitoring & failures - Human behavior 😅 Asking because these “surprise pain points” seem to slow people down more than the tools themselves. Curious what caught you off guard.
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Just shipped my first Chrome extension 🚀
Hey everyone 👋 I just shipped my first Chrome extension called Prompt Navigator 🚀 It’s built specifically for ChatGPT users to: • Navigate past prompts • Save & reuse good prompts • Insert prompts with one click • Keep everything local (privacy-first) Would love some honest feedback from this community 🙏 What feature would make this more useful for you? https://chromewebstore.google.com/detail/prompt-navigator/bbflfaekpceopgggjopcfpfajmmcennh?utm_source
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AI Automation Society
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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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