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

What a crazy week in the AI space... In this video, I break down Google’s new NanoBanana Pro image model, and it is hands down the most detailed image generator I’ve used so far. I’ll show you how to plug it into n8n to level up your AI agents and automation workflows, and how to get it running cheaper than the official price with no watermarks. We’ll walk through text to image, image to image, and using multiple input images so you can test different prompts right away. The setup is simple, there’s no code needed, and you can follow along step by step as we build this workflow together.

Just Found something interesting for n8n I wanted to share with all enthusiast of n8n. https://n8nboy.kenkais.com/ more here: https://www.skool.com/ia-lab-8166/about?ref=bd01ae9e365f4c81aff9d57b53bb6d42

In this video, I break down four real client projects we sold this year, what each agent did, why it was valuable, and exactly how I priced and closed them. You’ll also get a 7-step roadmap you can follow to start selling your own AI agents, avoid the traps I hit early on, and position yourself as a strategic partner instead of just a freelancer.

In this video, I walk you through how to use parallelization in n8n to significantly speed up your workflows by processing multiple executions at the same time. I’ll show you step-by-step how to set up a subworkflow, send data to it, and run those executions in parallel, making your automations far more efficient. But we don’t stop there. I also break down why subworkflows are useful beyond just speed, like making your workflows more modular, reusable, and easier to maintain over time. Whether you're looking to optimize performance or simply clean up your n8n builds, this video will give you a practical foundation to start using subworkflows the right way. For a deeper discussion on workflow architectures like this, let's chat here