#338 · how to get your first 1,000 users in 2026

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Are no‑code tools like NAD still worthwhile given the rise of agentic AI automation, or should I switch to AI‑agent platforms?

NAD offers fine‑grained control but is far slower than AI‑agent tools like Cloud Code or Codex, which can build the same automation in seconds instead of hours. AI agents are now the preferred method; Claude’s built‑in routines, logging, and debugging already do much of what NAD used to do, and cloud‑code mods now provide visualization too. Unless you specifically need NAD’s visualization, it makes sense to switch to an AI‑agent platform.

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Could you detail the differences between Make and NADN (or other no-code builders) and recommend which program to use for which types of people? Also, as a total beginner with no automation experience, which tool would you recommend?

It makes sense. I focus on getting up and running quickly, moving fast, and breaking things—that's why I always recommend Make.com. If you're more technical, I get the appeal of NADN, but I ask myself whether I actually need that complexity to make money. The answer is no; people have been making money with simpler tools for as long as the internet has existed, so tool complexity isn't the bottleneck.

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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 AI agents do you use daily and have they impacted your business?

The AI agent I use most is Claude, specifically Claude code (cloud code). It handles most of what I need, even though it can be verbose and sometimes requires scrolling through output. I connect Claude to various platforms via built‑in plugins or connectors, give it access to my email and other tools, and use remote control to have a virtual AI assistant on my phone, computer, etc. I also use Codex and occasionally other tools, but Claude remains my primary assistant.

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Should I learn coding (e.g., Python) to build AI automation with Make, and where is the best place to learn it?

I wouldn't really do it. The value of coding is pretty low by the time you can build something worthwhile with Python. Models can handle most tasks via natural language. You can prompt GPT to write scripts. Still, learning programming concepts is useful to steer models. I'd suggest a few hours of a JavaScript tutorial on Codecademy rather than Python, because no‑code builders work better with JavaScript/Node. Take the first three or four hours, then focus on your no‑code skills. For your case, use Make, not Naden, and get your first few customers with this simple toolbox, plus some introductory JavaScript knowledge to understand JSON and basic syntax.

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