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🔒 Q&A w/ Nate is happening in 8 days
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🚀New Video: n8n 2.0 is Here (What You Need to Know)
I just walked through everything new in n8n version 2.0. This update brings a refreshed UI, smoother animations, and a few behavior changes that make building automations feel more intuitive. In the video, I highlight the biggest improvements, show how they affect your workflows, and share what you should expect as you transition to the new version. If you want a quick overview of what’s changing and why it matters, this breakdown will get you up to speed.
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🚀New Video: I Built an AI Voice Receptionist with Vapi and n8n MCP (free template)
I built a full AI voice receptionist using VAPI on the front-end and n8n on the back-end, powered by an n8n MCP server that connects to seven n8n workflows. In this video, I walk through the entire system from scratch and show how the agent gathers info, manages the CRM, books and updates appointments, transfers calls, answers questions, logs every call, and keeps an appointment history. Everything is built with no code and designed to be easy to customize for your own use case. By the end, you’ll understand the full setup and have everything you need to launch your own AI receptionist. GOOGLE SHEET TEMPLATE
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🏆 Weekly Wins Recap | Nov 29 – Dec 5
From new client wins to digital twins and foundation-level breakthroughs - another week of real progress inside AIS+ Here are this week’s highlights inside AIS+ 👇 👉 Kevin Hardin built a job-sorting automation using Apify + n8n to instantly organize Upwork leads - a solid real-world workflow in action. 👉 @Elijah Williams restructured his entire agency model after completing the One-Person Agency course — turning insights into a roadmap. 👉 @Rakshith Gowda solved a Veo 3.1 API error after hours of debugging - a reminder that persistence pays off. 👉 @Simon Cousineau is now featured weekly on Canadian radio as their official AI expert - turning consistency into credibility. 👉 Malek Kilani built an AI-powered language coach in under an hour, shared the PRD, and inspired others to ship faster. 🎥 Super Win Spotlight of the Week: @Lutfiya Miller | From Toxicologist to AI Consultant Lutfiya went from learning AI workflows to landing two new clients at a scientific conference - proving what happens when confidence meets consistency. AIS+ helped her go from fear and uncertainty to building powerful automations and speaking at multiple events in 2025. 🎥 Watch her story 👇 Lutfiya’s journey is proof that when you replace fear with action, everything starts to click. ✨ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where learning turns into confidence and results 🚀
🏆 Weekly Wins Recap | Nov 29 – Dec 5
📊Poll: Which n8n animation do you prefer?
v1 is on the left, v2 is on the right... This should be interesting.
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📊Poll: Which n8n animation do you prefer?
I Extended 9 Community Templates With ONE Pattern (40+ Hours Saved Monthly) 🔥
Spent 10 months extending different community templates with document processing. Pattern I noticed: Most templates assume humans will read documents and feed information to workflows. Personal assistant? You read and brief it. Marketing agents? You read RFPs and brief them. Support? You read attachments. RAG systems? You manually preprocess documents. Templates handle routing, logic, automation beautifully. But document reading? Still manual. The templates aren't missing features. They're missing eyes. THE UNIVERSAL EXTENSION: Add document processing to ANY template. Workflow reads documents automatically. Humans review instead of transcribe. Simple pattern: Take the step where humans read documents → Replace with automated extraction → Feed to existing template logic. TEMPLATES I'VE EXTENDED: RAG systems + document preprocessing. Marketing agents + RFP processing. Support + attachment analysis. Recruitment + resume scoring. Sales + contract validation. Compliance tracking + audit processing. Project management + spec extraction. Expense tracking + receipt OCR. Onboarding + application intelligence. SAME PATTERN EVERY TIME: Template already has great logic. Just add document reading at input stage. Extract structured data. Feed to existing template logic. Template operates with full context now. Build time: 30-90 minutes per extension. Time saved: 5-20 hours monthly per template. THE REALIZATION: Community templates are 90% complete. They're just missing document vision. The orchestration is perfect. The routing is smart. The agents are brilliant. The workflows are efficient. They just can't read PDFs. Small extensions. Massive capability jumps. MY APPROACH: 1. Identify where humans read documents in workflow 2. Add document processing at that step 3. Extract structured data matching template expectations 4. Feed to existing template logic 5. Template operates with full context now 6. Human reviews results instead of doing data entry Every template becomes 10x more useful when it can read documents independently.
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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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