In this video, I show you how to protect your webhooks in n8n so they don’t get spammed, abused, or used to run up your API token costs. There are three simple methods you can use: Basic Auth, Header Auth, and JSON Web Tokens (JWT). I walk through how each one works in n8n, show examples of how to set them up, and explain when you’d want to use each option. It might sound technical, but I break everything down step by step so anyone can follow along. If you're using webhooks in your automations, this is a must-watch to keep your workflows secure.

What started on October 15th, 2024 as a small, free community to share my resources from YouTube… has now turned into one of the most active hubs for AI automation builders on the internet. Over the past 9 months, I’ve heard stories of people: - Finding clients - Hiring developers - Meeting business partners - And just geeking out with others equally obsessed with AI automation It's become a space of real collaboration, growth, and momentum, and none of it would’ve happened without YOU. Thank you for being part of this journey. Whether you’ve been here since Day 1 or just joined last week, I appreciate you more than you know. Let’s keep building. The next chapter is just getting started 🚀 Cheers, Nate

In this video, I walk you through how to use Zep memory to give your AI agents true long-term memory, not just basic context retention, but memory stored in a relational graph. This allows your agents to understand entities, relationships, and even connections between different users, making them far more intelligent and context-aware. But while this unlocks the next evolution of AI agents, blindly adding Zep memory can be a dangerous game, especially as you scale, with costs quickly adding up. So in this tutorial, I break down how to effectively combine short-term and long-term memory, and I share several smart strategies to reduce the cost of running these systems without sacrificing performance. 📚 Try Out Zep: https://www.getzep.com/

In this video, I break down everything you need to know about the newly released Grok 4 — the best AI model yet from xAI. I’ll walk you through why it’s such a big deal, how it stacks up against other top-tier closed-source models, and what the benchmarks reveal. Then, I’ll show you exactly how to use Grok 4 inside n8n to power your AI agents, making them smarter, faster, and more efficient. If you're building with AI and automation, you don’t want to miss this.

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