Getting Started
The most common question I get is some version of: “Where do I start?” And the most common wrong answer is “just start experimenting with tools.” That might generate some excitement, but it doesn’t generate traction. The question underneath the question is actually: who are you, what do you want, and who do you already serve?
This chapter is about getting started in a way that actually builds something lasting. Whether you’re a non-technical person who has never thought much about AI, or a business owner with years of experience in your industry, the path is the same at its core: start with your calling, find your constraint, test it at the smallest possible scale, and build outward from there. The people I’ve seen succeed aren’t necessarily the most technical. They’re the most grounded. They know what they’re building toward and why.
What ties this chapter together is the n=1 principle: before you try to sell anything, before you try to scale anything, prove it on yourself. Your own life, your own business, your own workflow. That’s where the credibility comes from. That’s where the real learning happens. And as you’ll see in the final piece of this chapter, all of that gets dramatically easier when you have a proper command center: a place where AI knows your context and can actually help you make decisions, not just answer questions.