Why does AI give you average answers? You need better questions, not better AI.

I watched someone argue with ChatGPT the other day. Not a light disagreement. A full back-and-forth.

The AI gave an answer. He said it was wrong. The AI adjusted. He said it was still wrong.

At no point did he realise the problem might be him.

That's the state of AI right now. Everyone wants smarter tools. Very few want to admit THEY might be the limiting factor.

The 4D Framework for AI Fluency, developed through research collaboration between Professor Rick Dakan (Ringling College of Art and Design) and Professor Joseph Feller (University College Cork), identifies four core competencies that, when combined, help you make the most of your AI interactions. Here they are (for free, or as we say in South Africa, for MAHALA):

Direction

Most people talk to AI the way they talk to a waiter when they don't know what they want. "Something nice." "Not too heavy." "Surprise me."

Then they're disappointed when the result is average. AI is not confused. You are.

The moment you get clear, the output changes instantly. It's uncomfortable, because now there's nowhere to hide. If it's bad, it's on you.

Description

Then comes the overcorrection. Suddenly people write prompts that look like legal contracts. Calm down. You're not trying to impress the AI. You're trying to guide it. AI feeds on data: the more, and the more precise, the happier it is and the better it performs. The best users don't write more. They write better. They know what matters and what doesn't. That only comes from actually understanding the problem, not decorating it with fluff. Fluff confuses it. Focus on real, clear data and instructions. (Every major AI provider publishes free guides on how to prompt its models well. There is no excuse for bad prompts anymore.)

Discernment

This is where it gets dangerous. AI is very good at sounding right. Confident. Polished. Clean. So people read something that looks intelligent and assume it is.

The truth is that AI is not nearly as intelligent as we believe it is. It is just really, really good at connecting data points, discerning patterns and delivering results. I hate to break it to you, Susy, but it does not understand the words it is producing.

If you can't judge quality, AI will make you faster at producing things that look good and mean very little.

Development

Most people treat AI like a vending machine. Insert prompt, collect answer, move on.

The people getting real results treat it like a slightly overconfident assistant. You push it. You refine it. You say "this part is off, fix it." Or, for the rebels out there, you abandon ship and accept that this is not a task for AI at all. Yes, I said it out loud: AI is not the solution for everything.

The more you do that, the more you realise you're not just improving the output. You're improving how you think.

AI is not upgrading your intelligence. It is exposing it.

Some people use it and look brilliant. Others use the same tool and look like they Googled confidence. Same system. Different operator.

So before you ask which model is best, ask something more useful. Am I clear? Am I precise? Can I tell the difference between good and average?

Because if you can't, no amount of AI will save you. And if you can, almost any AI will.

P.S. If you understand the mechanisms now, you will own the narrative tomorrow.

Where to start

Generic answers often mean the AI knows nothing about how your business works. The free AI Readiness Check shows how much of your business is still only in your head, and where I'd start.