Do you see chatbots getting so good that the prompt will be as easy as just telling it who they are and giving them a knowledge base — basically "Bob's your uncle" simple?

#33 · non-guru explains how he made $2.4m with AI automation

Do you see chatbots getting so good that the prompt will be as easy as just telling it who they are and giving them a knowledge base — basically "Bob's your uncle" simple?

Yeah, absolutely — it's just a matter of time. We're already getting to the point where you can have really good, seemingly customized conversations with them, just using GPT-4.5 (the new model that just dropped about a week before this recording, and it's very good). I have no doubt that the next generation of models will let you simply say "hey, this is the business, here's some stuff they do, do it" — it'll automatically pick up the tone of voice, automatically pick up what you want it to do, and even ask you a clarifying question when you initialize it, like "do you want me to book appointments? What do you want me to do?" A lot of this is going to get done for you. When that happens, your point of leverage changes — it stops being about actually installing and implementing a chatbot with a bunch of agent features doing function calling or tool calling, and becomes about knowing where the tools are and the simplest, easiest way to deploy them for the customer. So yeah, we'll get there pretty soon — probably not for at least another year, maybe six months to a year — so there's still a lot of value in knowing how to do it manually right now.

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What should I learn first when building chat bots, and how should I position myself when selling them (e.g., as a chatbot expert or AI lead ops)?

When selling chatbots, emphasize the outcome they deliver rather than the fact that they chat in a human‑like way. Position yourself as selling speed‑to‑lead systems that, on average, double a client’s top of funnel or generate about $15,000 for businesses earning $50,000‑$100,000 in the digital‑agency space. This avoids the commodity race to the bottom where chatbots sell for $10/month. For learning chatbots today, it’s all about prompting. You don’t need RAG or retrieval‑augmented generation. Simply take a model like GPT‑4.1 Mini (million‑token context), load the client’s entire knowledge base—articles, PDFs, OCR‑converted text—into the prompt, compress if necessary by telling the AI to remove whitespace and superfluous words, and you can fit roughly thirty books of content in a single prompt.

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I'm starting a small agency in the chatbot and voice agent space, but I think chatbots might be the wrong focus. What are your thoughts?

I used to be negative about chatbots because the technology was unreliable and too flexible for real business use. However, over the last six months things have improved; chatbots can now set meetings at 90‑95% of a human’s quality, making them valuable for high‑volume lead nurturing and booking. I see chatbots as sitting on the flexibility‑reliability spectrum: traditional automation (API calls) is highly reliable but inflexible, while AI trades some reliability for much greater flexibility. Chatbots are even more flexible but less reliable, which can be frustrating because clients often expect you to change their output and think you have full control. In my experience, selling chatbots has been tricky due to that need for constant tweaking. That said, their reliability is improving daily. If you start now, don’t expect quick money, but as the chatbot wave grows, focus on building more reliable and robust chatbots to take full advantage.

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Thanks for answering my question about chatbots. I haven't focused on chatbots because they're not that good and most businesses prefer a humanlike chatbot or none at all. I agree the AI space is changing; could you make a video on building a humanlike chatbot that handles FAQs, appointment setting, etc.?

Thanks for the request—I'd love to make a video on building a humanlike chatbot. Right now, the value of an AI assistant feels small because I can do tasks like scheduling appointments myself in just a few seconds, whereas earlier it would have taken much more day-to-day effort. The question is when the speed gap becomes so tiny that it's worth using an AI, or when the value becomes so high that I'd need an AI secretary. For me, it doesn't make much sense yet because I type extremely fast—about 186 words per minute—thanks to years of RuneScape grinding where I had to type the same thing repeatedly without copy‑paste. I'm also very fluid with computers and know hotkeys, so doing things myself is often faster than telling an AI to do them, especially given the current lag and the few words needed to prompt the model. That said, the landscape is changing: soon we'll be able to chain actions, so a single prompt could trigger dozens of steps like looking up flights, comparing costs, and booking them via APIs. We're approaching that point, but the models aren't there yet, which is why I've held back on chatbot videos. I will definitely build a humanlike chatbot for tasks like this in the future. A community member, Mehmud from Maker School, already sells Vapy chatbots and showed how powerful simple prompts can be, so a Vapy‑focused video might be worthwhile as well.

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Is the free/basic plan of Chat GPT sufficient for AI automation work, or should I learn Make and other tools? Should I sell clients just automations or also offer custom dashboards? How can I practice selling these services as a beginner?

I just use Chat GPT for everything—not because it’s the best, but because all frontier models are roughly at the same level; any edge one gains is only a few percentage points and quickly matched by another. For business use, those tiny differences don’t matter, so sticking with one model helps me avoid shiny‑object syndrome and lets me get fast with its API. Regarding selling automation: think of your offering as having a core service (the AI automation you build) and packaging around it. The client never sees the underlying automation; they only see the packaging. Good packaging lets you add perceived value—you could even wrap a simple automation in a fancy dashboard and charge premium prices. But the real work is still the automation inside the box. To make the package sexy, you can create custom dashboards, or simply make the notification emails or alerts look polished and professional. For practicing sales: the best practice is to actually sell. You learn by doing, earning while you learn, which is far better than just rehearsing. So go out and sell your automation packages; the experience itself is the practice.

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