Conversations With Machines

The skill that matters most right now — and I truly believe this — is learning how to talk to AI.

I know that sounds strange. We're talking about machines. But the way AI works today, especially conversational AI like Claude, is fundamentally about communication. You tell it what you need. It responds. You refine. It adjusts. It's a conversation, and like any conversation, the quality of what you get out depends entirely on the quality of what you put in.

I've been working with AI tools daily for a while now, and I've learned some things about this process that I want to share, because they've made a massive difference in how much time I'm able to fold.

Be specific about what you want, but explain the why. When I need a proposal drafted, I don't just say "write me a proposal." I tell the AI who the client is, what the project involves, what tone I want, what my pricing is, and what makes this project different from the last one. The more context I give, the less revision I have to do. That's time saved on the back end.

But I also tell it why. "This client is detail-oriented and wants to see that we've thought through the logistics." Or: "This is a referral, so the tone should be warm — they already trust us." That context changes the output in ways that save rounds of revision.

Think of it as a collaboration, not a command. The best results I get from AI come when I treat it like a thinking partner, not a vending machine. I don't just take the first output and run with it. I read it. I react. I say, "This is close, but the tone is too formal for this client" or "Can you expand on the second section and shorten the intro?" It's iterative. It's a back-and-forth. And that back- and-forth is where the magic happens, because you're combining your expertise with the AI's speed.

Know what you're looking at. This is where experience matters more than ever. AI can produce things that look professional and sound reasonable but are subtly wrong — facts that are slightly off, phrasing that doesn't quite fit, a tone that misses the mark. If you don't have the expertise to catch those things, the speed advantage becomes a quality disadvantage.

That's why I keep saying: AI doesn't replace skill. It amplifies it. If you have thirty years of knowing what good looks like, AI helps you produce good work faster. If you don't have that foundation, AI gives you faster mediocrity. The human in the loop is what makes the difference.

The new literacy is prompt literacy. I genuinely believe that knowing how to communicate effectively with AI is becoming as fundamental as knowing how to use a computer was in the '90s. Back then, people who couldn't use a computer were at a massive disadvantage. Today, people who can't work effectively with AI are starting to find themselves in the same position.

This isn't about being a programmer or a tech person. It's about being a clear communicator. If you can describe what you want with specificity and context — the same way you'd brief a talented freelancer — you can get extraordinary results from AI tools.