I use AI almost every day, and most of the time, it is unbelievably helpful.
That’s what made this mistake so easy to miss.
I wasn’t ignoring AI. I wasn’t using it carelessly. In fact, I thought I was being smart by using AI to help me think through my work.
And in many ways, I was.
But a few months ago, I realized I had slowly started giving AI more authority than it deserved. Not because it gave me some obviously ridiculous answer. That would have been easy to spot.
The expensive part wasn’t that AI gave me a bad answer.
It was that the answer sounded good.
That assumption cost me real time, real effort, and real money.
The mistake was giving AI too much authority
Let me be clear: this is not an “AI is bad” article.
I still use AI constantly. It’s one of the most useful tools I’ve ever used.
The problem wasn’t that AI stopped being helpful. The problem was that I slowly started giving it more authority than it deserved.
That’s an easy line to cross because AI is so good at sounding polished. You type in a question, wait a few seconds, and suddenly you get an answer that is clear, organized, confident, and usually pretty convincing.
In the moment, it feels like you’re talking to someone who really knows what they’re doing.
But a polished answer is not the same thing as the right answer.
That’s the part I had to learn the hard way.
Why AI can feel more reliable than it really is
AI has a presentation problem, but not in the way most people think.
The issue is not that it sounds sloppy or confusing. The issue is that it often sounds too smooth.
It’s like watching a well-dressed person speak confidently from a podium. Your brain naturally thinks, “This person must know what they’re talking about.”
And maybe they do.
But maybe they’re just delivering a polished line of nonsense.
The confidence of the delivery creates the impression of credibility. AI can do the same thing. It responds quickly, explains things clearly, and organizes the answer so neatly that your brain starts thinking, “This thing must know what it’s talking about.”
Sometimes it does.
But sometimes it doesn’t have enough real-world context to make the call.
That’s where the trouble starts.
Where I got myself into trouble
The breaking point for me came after several marketing campaigns underperformed.
These were not campaigns I threw together randomly. I used AI to help think through the offer, the lead magnet, the messaging, the ad creative, and the overall strategy. On paper, everything looked good.
AI was giving me green lights too.
So I thought, “This has got to work.”
And then it didn’t.
So I tried again. Then again. Then again.
After going 0 for 4 over several months, I finally got irritated enough to have a very blunt conversation with ChatGPT. I basically asked it, “Give me one good reason why I shouldn’t fire you right now.”
To my surprise, ChatGPT actually helped me identify part of the problem.
It said I may have been treating it more like an oracle than an assistant.
That was the light bulb moment.
I had not stopped thinking. But somewhere along the way, I had started letting AI’s polished confidence carry more weight than it should have.
I was letting AI help me make the final call.
That’s not its job.
AI is great for tasks, but judgment calls are different
There are plenty of things AI is genuinely great at.
If you need help troubleshooting a WordPress issue or a coding problem, AI can often give you a very precise answer. If you need to summarize a messy document, organize a pile of notes, rewrite an email, improve website copy, or spot patterns in a spreadsheet, AI can be incredibly useful.
That’s speed and execution.
You know what you’re trying to accomplish, and AI helps you get there faster.
But judgment calls are different.
Judgment calls are questions like:
Should I hire another employee right now, or wait?
Should I open a second location, or would that stretch the business too thin?
Should we promote this new service, or is it confusing people?
Should we lower our prices because sales are slow, or would that make the problem worse?
Those are not simple task questions. Those are business decisions.
And business decisions are messy.
They involve timing, customers, market conditions, incomplete information, emotional judgment, financial pressure, and details AI simply cannot fully see.
AI can help you think through those decisions.
But it should not be making the final decision for you.
Ask AI to help you think, not tell you the answer
This is the shift that helped me the most.
Instead of asking AI, “What’s the best answer?” I’ve started using it more like this:
“Help me think through this situation.”
That might sound like splitting hairs, but it isn’t.
When you ask AI to give you the answer, you’re quietly handing the decision over to AI. But when you ask AI to help you think through the situation, you’re still the one in charge.
You’re asking the questions. You’re bringing your experience. You’re pushing on the weak spots. You’re looking at the real-world context AI cannot fully see.
AI helps you move faster through that process.
It can help you explore the options, see the trade-offs, and sort through the mess without having to hold every detail in your head.
In many cases, you could probably reach the same conclusion on your own eventually. AI just helps you get there faster, with less mental friction and often a clearer view of the situation.
That’s the better role for AI.
Not the oracle.
The thinking partner.
Use AI to pressure-test your ideas
One of the best ways to use AI is to stop asking it to bless your idea.
That’s a subtle but important shift.
Instead of asking, “Does this look good?” ask questions that force the idea to work a little harder.
For example:
- What am I missing?
- Where could this fail?
- If this failed, what would probably be the reason?
- What would this look like to my ideal client?
- How would this sound to them?
- What objections might they have?
Those questions are much more useful than simply asking AI to agree with you.
Because most of the time, you don’t need AI to pat you on the head and say, “Great idea.” You need it to help you see what you may be overlooking.
Not because AI magically knows the future.
It doesn’t.
But it can look at your idea from different angles quickly. That makes it useful as a pressure tester.
Use AI like a time machine
Here’s one of my favorite ways to use AI now.
I ask it to pretend the idea already failed.
Instead of waiting three months, spending the money, launching the campaign, and then asking, “What went wrong?” you can ask before you move forward:
“Pretend this failed. Why did it fail?”
Or:
“Imagine we’re three months in the future, and this idea completely flopped. What were the warning signs we ignored?”
That kind of question changes the whole conversation.
Now you’re not asking AI to encourage you. You’re not asking it to make your idea sound better. You’re giving it permission to look for weak spots, bad assumptions, missing details, and possible failure points.
That’s where AI can be very helpful.
Not because it can predict the future, but because it can help you look at the idea from a less emotionally attached angle.
And when real time or real money is involved, that matters.
Watch out for AI being too agreeable
Another lesson I had to learn was that AI can be a little too agreeable.
To be fair, I don’t want to work with an AI tool that is rude, miserable, and argumentative all day. Nobody wants that from a human co-worker either.
So yes, I want AI to be helpful. I want it to be pleasant and easy to work with.
But there’s a difference between being pleasant and being a yes person.
When you’re making an important decision, you don’t need AI to simply say:
Great idea.
Looks good.
You’re on the right track.
Sometimes you need the opposite.
You need to tell it, “Don’t just agree with me. Don’t flatter me. Don’t tell me what you think I want to hear. Tell me what you think I need to hear.”
You may even need to say, “Play devil’s advocate. If there’s a problem with this idea, tell me flat out.”
That may feel a little weird at first because most of us are not used to talking to software that way.
But if you want AI to help you think clearly, you have to give it permission to challenge you.
The goal is not to feel validated.
The goal is to see the situation clearly.
Voice prompting can help you give better context
Another practical change I’ve made recently is using voice prompting more often.
Not just because talking is faster than typing, although that certainly helps. The bigger benefit is that talking out loud often gives AI better context.
When you type a short, vague prompt, you’ll probably get a short, generic answer.
But when you speak naturally, you tend to explain the situation more like you would to another person. You include the messy details. You explain what you’re worried about. You mention what you already tried. You ramble a little, but sometimes that rambling is useful.
It gives AI more raw material to work with.
That does not mean you should talk forever. But one, two, or three minutes of spoken context can be incredibly helpful, especially when the situation is complicated or emotionally loaded.
Sometimes the best prompt is not a perfectly written sentence.
Sometimes it’s just you thinking out loud.
The healthiest way to use AI
I still use AI all the time.
But I use it differently now.
I do not treat it like an all-knowing answer machine. I treat it like a very fast thinking partner — something that can help me sort through the mess, see options, find weak spots, and move faster.
But it does not get the final vote.
That part still belongs to me.
And I think that’s the healthiest way to use AI in your business and your life.
Use AI to help you think. Use it to create. Use it to execute faster. Use it to pressure-test your ideas before the real world does it for you.
Just don’t confuse a polished answer with the correct answer.
AI can accelerate your execution. It can sharpen your thinking. It can help you see things you may have missed.
But it cannot replace your judgment.
FAQ
Can you trust AI for business decisions?
You can use AI to help think through business decisions, but you should not let it make the final call. AI can help you organize your thinking, explore options, and spot weak points, but it does not fully understand your real-world context.
What is the biggest mistake people make with AI?
One of the biggest mistakes is treating a clear, confident AI answer as if it must be correct. AI can sound polished even when the answer is incomplete, oversimplified, or wrong for your situation.
How should I use AI for important decisions?
Use AI as a pressure tester. Ask what you might be missing, where the idea could fail, what assumptions may be weak, and how the situation might look from another person’s point of view.
Should I ask AI to play devil’s advocate?
Yes. If you’re using AI for anything important, it can be helpful to ask it to challenge your thinking. The point is not to make AI argumentative. The point is to help you see the situation more clearly.
Is voice prompting better than typing?
Voice prompting can be better when you need to give AI more context. Talking out loud often helps you explain the messy details more naturally than typing a short prompt.
Conclusion
AI is incredibly useful.
The mistake is not using it.
The mistake is handing it too much authority.
Let AI help you move faster, think more clearly, and spot problems sooner. Let it help you pressure-test ideas before the real world does it for you.
Just don’t let it replace the judgment you’ve earned through real experience.
That part still belongs to you.
