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🔒 Q&A w/ Nate is happening in 7 days
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🚀New Video: Is n8n Dead?
Is n8n dead? This was a HIGHLY requested topic, and the biggest question I've been getting lately, especially as Claude Code has started surpassing n8n in search interest and YouTube views. In this video I share my honest thoughts on what's happening with n8n, whether you should still learn it as a beginner, and how I'm personally thinking about these two tools.
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🚀New Video: I Turned Clawdbot Into the Ultimate Personal Assistant
I turned Clawdbot into my 24/7 executive assistant, and in this video, I'm showing you exactly how to do the same. After spending 100+ hours refining this setup, I've built a system where my Clawdbot, Klaus, proactively manages my tasks, checks in on what I'm working on to offer help, and even builds things while I sleep. I walk you through the custom dashboard I use to track everything it's doing, share the exact setup you can copy, and reveal the hacks I've discovered along the way that most people miss.
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🏆 Weekly Wins Recap | Jan 24 – Jan 30
This week inside AIS+ was all about momentum kicking in. First real client conversations, confidence breakthroughs, retainers locked, and builders finally seeing doors open after consistent effort. Here are a few standout wins inside AIS+👇 👉 @Dion Wang sparked serious interest from a real estate client after sending a Loom - now prepping for a director-level presentation. 👉 @Sarah Swendseid landed her first two clients through warm outreach and is kicking off February with active builds. 👉 Sven Loeffler stacked back-to-back wins with two client calls - one for a lead-gen agent and another for executive coaching automation. 👉 @Wayne Dowden turned years of knowledge into income, landing a retainer deal by finally building what he used to only design. 👉 @Chris Shon booked 5 discovery calls, secured his first testimonial, and is now closing in on a paid engagement. 🎥 Super Win Spotlight | @Dion Wang This week’s standout story comes from a member who went from watching to committing. After joining AIS+, getting comfortable with n8n, and leaning into the community, he finally took the leap - booking his first real business call and realizing: “I can actually do this.” 🎥 Watch his short story here 👇 His journey is a reminder that progress isn’t just about tools - it’s about confidence, support, and choosing to go all-in instead of staying on the sidelines. ✨ Want to see wins like this every single week? Join AI Automation Society Plus and start turning learning into real conversations, real builds, and real opportunities 🚀
🏆 Weekly Wins Recap | Jan 24 – Jan 30
🚀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
AI Categorized 2,400 Expenses Last Quarter - Zero Manual Sorting (8 Nodes) 🔥
Finance team categorizing expenses manually. Every receipt. Every transaction. Someone reads merchant name. Decides category. Types it in. Built 8-node workflow. 2,400 expenses last quarter. Zero manual sorting. AI handles categorization. THE CATEGORIZATION NIGHTMARE: Is Uber travel or transportation? Is that Amazon purchase office supplies or equipment? Starbucks - meals or client entertainment? Every person categorizes differently. Audit comes. Categories inconsistent. Explanation needed for every decision. THE DISCOVERY: Document extraction returns category as enum. AI picks from predefined list. Same logic every time. But AI isn't perfect. Added merchant keyword fallback. Uber always maps to Travel. Starbucks always maps to Meals. Consistency wins. THE WORKFLOW: Google Drive trigger watches receipts folder → Download expense document → Document extraction pulls merchant, amount, date, category → Code processes and applies keyword fallback → Sheets logs to expense tracker → IF checks threshold → Over $500 triggers Slack approval → Under $500 confirms logged. 8 nodes. Categorization automated. THE SMART CATEGORIZATION: JSON Schema includes category enum: Travel, Meals, Office Supplies, Software, Equipment, Marketing, Professional Services, Utilities, Other. AI picks best match. Code validates against merchant keywords. Known merchants get consistent categories regardless of AI interpretation. THE APPROVAL ROUTING: Threshold-based logic. Anything over $500 requires manager approval. Slack notification with full details. Everything else auto-logged. No more $3,000 "office supplies" purchases slipping through. Manager sees it immediately. THE TRANSFORMATION: Before: 15 minutes per expense report reviewing categories. Arguments about what counts as what. Inconsistent across team. After: Zero time categorizing. Consistent logic. Manager only reviews high-value items. THE NUMBERS: 2,400 expenses processed last quarter 9 category types automated $500 approval threshold
AI Categorized 2,400 Expenses Last Quarter - Zero Manual Sorting (8 Nodes) 🔥
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AI Automation Society
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