Most people are using AI wrong—and it’s capping what they can do

1 is a fluke. 2 is a coincidence. 3 is a pattern.

Lately I’ve been noticing something.

The problems I’m solving are getting more complex…

while the time it takes to solve them is getting shorter.

At first I thought I just got lucky. Then it happened again.

Now it’s consistent.

Here’s what changed:

Most people treat AI like a tool—something to prompt, extract from, and move on.

That approach works… up to a point.

But it also creates a ceiling. The output feels shallow, disconnected, or incomplete.

I started approaching it differently.

Instead of treating AI like a tool, I started treating it like a collaborator—something to think with, not just use.

Not blindly trusting it. Not handing over the work.

But working with it in a loop—refining, challenging, building.

That shift changed everything.

• Faster iteration • Better problem decomposition • Stronger ideas • Less friction moving from concept → execution 

It’s not about replacing human creativity.

It’s about amplifying it—without losing control of the direction.

AI isn’t going anywhere. But I don’t think the future looks like The Terminator or WALL-E.

There’s a middle ground.

And I think most people are underestimating how powerful that space is.

I’m curious—has anyone else experienced this shift, or is everyone still treating it like a tool?