How to Think About AI So It Actually Helps You

The first time I encountered AI, most people had no idea how much it would change the world in a few years. Neither did I. It felt interesting, almost magical - but I didn’t see how it fit into my daily work.

Then came the shift. And it wasn’t about the tools. It was about how I started thinking about AI.

The Problem Isn’t the Model, It’s the Mindset

The speed at which AI tools evolve is staggering. New models, new features, new platforms - something every week. It feels like you need to follow everything, try everything, and immediately apply it to your work.

You can’t. And you don’t need to.

It’s not about having the latest model. It’s about how you think about it. That’s what separates someone who gets real value from AI from someone who just uses it as a fancy search engine.

Think of AI as a Remote Colleague

This mental model helped me more than anything else. Simple, but powerful.

Picture AI as a real person - smart, always online, ready to work on anything. They work remotely, so you can’t see them. But they’re there.

Now think about how you’d give that person a task.

You wouldn’t just say: “Make me a logo.” You’d say: “Hey, I need a new logo. My website works fine but the logo is outdated - it doesn’t reflect what I do anymore. I’ve shifted focus from XY to XYZ. Here’s what it looks like now, and here’s my website for context. What would you suggest?”

With AI, it’s exactly the same. The more context you give, the better the result.

Context Is Everything

This is the biggest insight. And the most common mistake.

Most people give AI a short command and wonder why the result isn’t what they wanted. Then they call AI “overrated.” But the problem isn’t the model - it’s the prompt.

Try this instead. Before you write a prompt, answer these questions:

• What exactly do I want to be created?
• Who will read or use it?
• What context does the AI need that it doesn’t have?
• What result would be wrong - what do I not want?

The more specific your answers, the better your instructions. And the better the output.

💡 The most important thing is to give good context. That’s what separates a good result from a bad one — not which model you’re using.

Build Your Specialists

Once you see AI as a colleague, the next step follows naturally: build specialized “experts” you go to for specific things.

I have a “developer” for Make.com scenarios. A “copywriter” for content. An “analyst” for working through data. Each has their context, their rules, their working style.

This isn’t about special tools or paid products. It’s about how you approach the conversation - what context you set at the start, how you build on it.

How to Start Thinking Differently

Next time you open AI and start typing - pause for a moment. Ask yourself: if this were a real expert sitting across from me, how would I explain this?

Then write it exactly like that.

Natural language, enough context, clear goal. No prompt engineering tricks, no special techniques. Just natural communication - the same as with a person.

Try it on your first task today. You’ll notice the difference.