I just dropped a new video breaking down the core nodes you need to understand if you want to build solid, scalable automations in n8n this year . This is based entirely on real experience — from simple CRM automations to complex AI-powered workflows with agents, tools, and sub-flows. In the video, I walk through: - The triggers you’ll use all the time (and why they’re more powerful than they look) - How to properly use Set / Edit Fields to clean and structure data - Why HTTP Request + Code unlock almost any integration - When to use IF vs Switch - The difference between AI Agents vs Message Model steps - Why Sub-workflows are a must once things start getting complex If you’ve ever built something that worked but felt overcomplicated — this video will help you rethink how you design automations. 👉 Watch the full breakdown here: https://youtu.be/LOTsPJplHnA?si=e8u7ka7w7w-vfKJt I’d also recommend revisiting one of your older workflows after watching and asking yourself:“How would I rebuild this today using these nodes?”

If you’ve been curious about AI sales agents but felt overwhelmed by tools, setup, or where to even start, this webinar is for you. In Dapta 101: From Zero to Agent, I’ll walk you through how to build your first AI sales agent from scratch. Live. No-code. Beginner-friendly. What we’ll cover: • How AI sales agents actually work • How to go from a blank canvas to a working agent • A live walkthrough you can follow step by step • How to use the agent in a real scenario By the end, you’ll have a clear mental model and a working foundation you can build on. Stick around until the end for a special opportunity to kickstart your agent journey. Date & Time: Thursday, January 15th, 4:00PM–5:00PM EST Register here: REGISTER

Posting consistently on YouTube gets way easier when you stop doing the repetitive stuff manually. In this video, I show a system that takes a single YouTube link and automatically generates: - A high quality title - A full SEO-optimized description - Clean chapter timestamps - And updates the video directly on YouTube High level flow: 1. Submit a YouTube URL through a form 2. Pull the transcript while the video is still unlisted 3. Use AI to generate timestamps first 4. Use AI again to generate the title and description 5. Update the video automatically via the YouTube API This is the exact system I use to publish my own videos faster without copy pasting prompts every time. If you want to see how it’s built step by step, the full walkthrough is in the video. https://youtu.be/F2mmral8PjU?si=VmZ_0WS7Vp7XUyd3 Subscribe for more practical AI and automation tutorials.

If you run workflows in production, errors are going to happen. The real problem is not knowing when they happen. In this video, I show a simple way to catch *every* failed execution in n8n and get notified instantly with the exact workflow and execution link. High level overview of the setup: - Use an Error Trigger workflow that fires when another workflow crashes - Attach it to any production workflow through the workflow settings - Capture details like workflow name and execution URL - Send a Slack message automatically so you can jump straight to the error This works great if you: - Manage client workflows - Run multiple production automations - Want your team notified the moment something breaks It is a small setup that saves you a lot of headaches. https://youtu.be/hL6ev_vIOjQ?si=cGl-swebTmpU5ZzS Subscribe for more n8n and AI automation tutorials.

OpenAI just dropped GPT 5.2 and their new Image 1.5 model, not long after Google released Nano Banana Pro. So I wanted to do a simple side by side comparison and see where each one actually shines. In the video, I test both models using the same prompts and look at real outputs, not benchmarks. I compare them across a few practical scenarios: - Photorealistic headshots - Infographics with readable text - Image to image generation - Multiple images combined into one - Editorial and design style outputs Short version: Nano Banana Pro still feels ahead when it comes to text accuracy, infographics, and realistic humans. OpenAI Image 1.5 has improved a lot and does especially well with creative layouts and editorial style images. If you are deciding which model to use for your workflows, content, or automations, this breakdown should help. https://youtu.be/Kz2mr798mao?si=D7SeNuF0CiqTNcwZ Subscribe for more model reviews and practical AI automation builds.