Anyone have thoughts on when it makes more sense to use n8n versus Zapier (or vice versa)? At first glance it seems that there n8n allows for more powerful solutions, especially when it comes to AI. Thoughts?

Not every problem needs a complex AI agent, and in this video, I’ll show you the simple 5-step method I use to build high-ROI AI systems that actually work for real businesses. Whether it’s a smart automation or a lightweight AI assistant, this strategy is what I use for all of my automations without writing a single line of code. Here’s my 5 step playbook: 1) Learn the Foundations 2) Identify High-ROI Opportunities 3) Map Out the Entire Process 4) Plan the Architecture 5) Get to a POC & Implement Guardrails If you’re new to AI or no-code automation, this will give you a clear path to start building real systems, even if you’ve never written a line of code. Want the full course where I teach this method? Let's chat here

I just released ANOTHER new course. It's the EXACT thinking process we use at my agency when implementing AI systems for clients. Not theory. Not basics. This is the advanced system that turns complex business processes into seamless automations that run themselves. Imagine having the power to: - Transform manual workflows that eat up entire days - Build systems that work while you sleep - Deploy the same automation architecture that companies pay us tens of thousands for For the first time ever, I'm revealing my complete framework, starting from how we pick the right process to automate from day 1. You can get it inside AI Automation Society Plus. Remember, this is the 2nd new course I’ve released in the past week. And this one is MASSIVELY valuable. A price increase is coming. Make sure to lock in your membership soon. Let me know if you have any questions. Cheers! Nate

Is this kind of stuff interesting to you? Let's chat here. Want better visibility into your AI workflows in n8n? In this video, I’ll show you how to track the actions your agent takes, log the outputs, monitor token usage, and calculate the cost of each run. This kind of observability is key when working with AI agents, especially to catch hallucinations and control costs, so you can continuously iterate on the system prompt. If you’re building agentic systems in n8n, this will help you stay in control. Google Sheet Template

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