My Aentic Workflow course is text‑only; should I learn N82 to visualize triggers/results or just talk in the air? How do I sell this to clients?

#256 · how people charge $1000s for automations claude builds in 15 mins

My Aentic Workflow course is text‑only; should I learn N82 to visualize triggers/results or just talk in the air? How do I sell this to clients?

You should definitely get on NAN or another visual platform to show your workflow. If you prefer not to, a stop-gap is to visualize the system with a simple diagram--such as a Mermaid diagram or a workflow chart made with GPT-image--so clients can see how it works. The downside is that these visualizations aren't always consistent or as precise as a true drag-and-drop builder like NAND, where you connect procedural nodes. Nevertheless, I recommend learning both quad code and NAN, because the real advantage lies in the pre-built market for these skills on freelance platforms like Upwork, Freelancer.com, and Fiverr, where clients actively seek people who can deliver visualised automation work.

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How should I learn AI right now? Should I learn AI workflow tools like Hermes, Claude, Codex, or go the old way like NAN or make or mix them both?

My recommendation is to start with one of my NAND courses to get up to speed on visual processes and how automation works in those flows. Immediately after, take a big cloud‑code course to learn how to apply Claude to that foundation. It's important to understand basics like JSON and how data moves through nodes on a graph; once you have that, Claude code becomes capable of handling a lot for you.

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Nick, I want to start working in the AI sector and I'm thinking of beginning with AI automation. The problem is that everything changes so fast. New tools keep coming out, so I'm confused about where to start. At first, I planned to learn NA. Then I started seeing agentic workflows everywhere. Now there's AIOS as well. Over the last 3 to 4 months, I watched videos on different topics, but instead of getting clarity, I'm just become more confused. Since you work on advanced AI project yourself, I'd appreciate your guidance to hit $10,000 per month. If you starting from scratch today, what would you learn first? When would you start offering services? And how do you get your first few clients?

First, I’d join a community like Maker School—not just to use my own products but because membership gives you deep discounts (often a 10x return) on AI platform credits and payment‑processing fees. With those savings I’d start by learning a visual drag‑and‑drop automation builder (such as the n platform) for about four to six hours; that teaches you the fundamentals of systems, workflows, JSON, HTTP requests, etc., which accelerates everything else. Next I’d spend another four hours on a Claude‑code course that covers the technical setup, agent communication, model selection, and so on—roughly ten hours total. After that foundation, I’d devote virtually all remaining time to acquiring customers; the first 90 days would be less than 1% spent on learning and the rest on outreach. You need a customer to actually enter the arena, so I’d use Maker School’s day‑by‑day accountability to hit call and outreach targets, then loop back to upsell from any lower tier to higher ones as the relationship grows.

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What are your thoughts on using Claude and NADN MCP to create workflows in minutes? Will it kill learning NAND the standard way by building workflows from scratch? Do you personally use it?

I believe it will eventually eliminate the need to build NAD (or Make.com) workflows from scratch, though the NAD tool itself will remain. It will further lower the technical barrier so you won’t need to know data structures, inputs, outputs, or looping logic. I don’t use it myself because dragging and dropping modules is still faster for me than having AI generate something I’d never build and then have to debug and maintain. My current leverage is sufficient, but I can see this being very valuable over the next year for people lacking technical or systems experience.

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What is the difference between an n8n workflow and a Claude skill made with Claude code, and what are the pros and cons of each?

The main difference between n8n workflows and Claude skills is that n8n is visual while Claude skills are written in text. People who learn visually often struggle with Claude because they can't see the whole workflow on a canvas. n8n is procedural and requires dragging and dropping nodes, unless you use its AI tool, which is still more manual than Claude, where you can simply tell it to build a workflow and it does a good job. This gives you both the ability to build and visualize the workflow. Some people wonder why I still recommend visual tools like n8n when Claude can be faster; while Claude is faster, you may end up with a bunch of things you don't understand. Building fast is great, but you need to understand the workflow. n8n, as a visual drag‑and‑drop builder, is already fast—what used to take weeks can now be done in 30 minutes. I prefer spending 30 minutes to understand the workflow rather than 5 minutes and not understand it, because later I’ll spend extra time figuring out what I built. So, if n8n works for you, keep using it. No problem with that.

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