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2d •
🚀New Video: How I'd Learn n8n if I had to Start Over in 2026
If I had to start over and learn n8n from scratch today, this is the exact path I’d follow. The skills to focus on, the mistakes to avoid, and the fastest way to go from beginner to building real workflows that clients actually pay for. This is one of my most valuable videos yet, so I hope you guys enjoy!
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4d •
🚀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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24m •
🏆 Weekly Wins Recap | Dec 6 – Dec 12
From five-figure months to first clients and real-world AI builds - this week inside AIS+ showed what happens when people stop waiting and start executing. Here are this week’s highlights inside AIS+ 👇 👉 @Sef El is collecting $25K this month from client invoices - built solo, step by step, through consistency and patience. 👉 Jan Goergen-Makinson launched his first voice agent, “Kora,” handling appointments using Retell - a big leap into real client-facing AI. 👉 Prakhar Dubey built his first client workflow for a UK-based NGO supporting SEND children - turning learning into meaningful impact. 👉 @Eduard Friesen broke into the All-Time Top 10 leaderboard and landed his first paid client - momentum stacking fast. 👉 @Abel Alvarado shipped an AI Social Media Intern - from research to auto-image generation and multi-platform posting, all automated. 🎥 Super Win Spotlight of the Week: Nick Mohler | Partnerships Through Community Nick didn’t join AIS+ just for tools - he showed up, participated, and shared openly. That single decision led to meeting a business partner, multiple collaborations, and new client opportunities - all through community connection. 🎥 Watch his quick story 👇 Nick’s journey is proof that when you put yourself out there, the right connections find you. ✨ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where consistency, community, and action turn learning into real results 🚀
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Oct '24 •
Welcome! Introduce yourself + share a career goal you have 🎉
Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊
47m •
Title: Build a Voice AI Receptionist That Books Appointments With MCP in n8n
Voice AI agents have come a long way. What used to take a bunch of custom tools and webhook wiring can now be done much faster using MCP. In this video, I show how to build a simple AI receptionist that: - Answers calls - Collects customer info - Checks availability - Books appointments into Google Calendar - Saves the customer record into Google Sheets - Sends a confirmation email Here is the flow, step by step: 1. Set up the voice agent in Vapi - Use GPT 4.1 mini for lower cost and faster responses - Make the assistant speak first - Add a system prompt with identity, tone, and tool instructions 2. Connect Vapi to n8n using MCP - Add an MCP Server Trigger in n8n - Build your tools as sub workflows - In Vapi, create an MCP tool and paste the MCP server URL - Add an Authorization header using your n8n API key 3. Create the sub workflows (these become your tools) - Get user - Search the Google Sheet by email - If not found, return “new client” so the agent knows to create them - Create user - Append a new row with name, phone, email, and call date - Get available slots - Pull calendar events for the requested date - Return busy times between business hours (example 9:00 AM to 5:00 PM) - Book appointment - Create the Google Calendar event - Update the user row with service type and appointment time - Send a confirmation email 4. Let the model fill tool parameters automatically - In the MCP trigger inputs, use “defined automatically by the model” - This avoids extra agents and reduces latency and cost 5. Test the full experience end to end - Call the number - Book an appointment - Confirm the data shows up in Sheets and Calendar - Confirm the email is sent If you want to build this exact setup, I included the resources and workflows in the description. Subscribe for more tutorials on voice AI agents, MCP, and real automations you can deploy. https://youtu.be/IiTV70i-2zA?si=IQAZEllSWNTqoPyH
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