We are using AI the wrong way
Everyone talks about how to use AI better. Nobody talks about what you're doing wrong right now. Let me show you.
In previous article (Using AI the right way), I gave you a complete operating system (OS) for using AI to think clear, write better, and build faster. A lot of you wrote back and said it changed how you work.
But here’s the thing I didn’t say in that article.
Most people reading that article will implement it wrong.
Not because they’re not smart. Not because they’re lazy. But because there are 5 mistakes that most AI users carry around without knowing it. And those mistakes cancel out everything the right system gives you.
Think of it this way.
You can have the best nutrition plan in the world. But if you’re unknowingly doing 5 things that destroy your metabolism, that plan won’t save you.
This week, I want to explain the 5 mistakes clearly. Because knowing what you’re doing wrong is more valuable than adding another tool to your stack.
Why “using AI more” isn’t the answer
Before we get into the 5 mistakes, I want to ground you in one idea.
There’s a difference between using AI heavily and using AI well.
Heavy users of AI churn out more. They produce faster. They have responses for everything. But if you look carefully at their actual thinking, their decisions, their arguments, their creative work, it’s often shallower (basics) than it was before they started using AI.
That’s not a bug in AI. That’s a bug in how people approach it.
The 5 mistakes below all share one root. They treat AI as the starting point instead of the finishing layer. They outsource the part of thinking that actually makes you irreplaceable.
When you finish this article, you should be able to look at your own workflow and catch yourself doing at least one of these. That’s the goal.
