#295 · how to structure a guarantee with zero data

youtube ↗AI & Automation

How did you build your AI agents and what do they cost to run?

They’re essentially free to run—about $20 a month plus any token usage. If you want to replicate the setup, just follow one of my courses from start to finish. The agent is just the harness with connectors and context for your environment. Platforms like Grockbot abstract away credential management, making it easy to connect everything and unlock more value.

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Related answers

youtube ↗Sales

What are the steps to sell an AI agent (Legion AI) as a beginner, including how to frame the offer and whether to guide clients through the setup process?

I don’t actually sell these AI agents myself; I don’t find them super valuable right now. I don’t think they’re more valuable than a traditional linear left‑to‑right automation, and the agency aspect doesn’t make my clients’ lives better or solve a unique problem I couldn’t just build easier with a linear flow. In general, what you should do is first try to sell the thing before you’ve built it. Go out, hear what people have to say, learn their pain points and what they want, and assemble enough validation or proof that the service is in demand. Only then should you actually go about building it. AI agents are a bit special because they’re very easy to set up—you literally just drag and drop an agent node and say a couple of magic words and it works about 80 % of the time. If you’ve already built it, I get it, but for future reference, sell first. When you sell it, tell them your goal is to make the process as easy as humanly possible, that you don’t want to lock them into anything, and you want to give them maximum freedom and autonomy. Walk them through setting up NADN (the no‑code drag‑and‑drop platform I used) on their account. Have them sign up with their credentials, then use those credentials to access the account—this makes handoff easy if they later choose not to work with you. It also makes managing everything simple and gives them total control, which I think is fundamentally important. Have them sign up for the cloud plan, don’t self‑host, and run the NNA agent on that cloud plan for them. On the kickoff call, make sure you get all credentials, handle any two‑factor authentication, and take care of Google console access if needed (with make.com you just need Google account access). When you do the implementation, hold their hands: make them open the browser, open NADN, sign up, and then get the username and password. Ensure any accounts you use for this purpose aren’t created with OOTH, otherwise you’ll have Google‑based 2FA, which is a pain. Confirm they can sign in, then you’re building it all on their account. Don’t sweat the building before you sell—sell first, then build after.

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youtube ↗AI & Automation

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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