12/12/2025
The AI Mistake Almost Everyone Is Making
The Mistake I Didn’t Know I Was Making”
Blessing thought she was using AI…
but she didn’t realize AI was also quietly defeating her.
Every morning before work, she opened her app, typed a few basic commands, grabbed whatever answer popped up, and rushed through her day. She used AI like Google — fast questions, fast replies, no thinking.
She didn’t experiment.
She didn’t ask follow-up questions.
She didn’t personalize anything.
“AI is simple,” she always said. “You just type something and it gives you something.”
Her co-workers believed the same.
Everyone around her used AI like a vending machine.
Until one Tuesday afternoon.
Her workplace, a small printing shop, had just received a large order: 300 branded notebooks for a local school. The customer wanted a short welcome message printed inside each notebook.
Blessing’s boss handed her the task.
“Write something warm, respectful, and simple. Don’t overdo it.”
She smiled confidently.
“No problem, sir.”
She opened her AI app and typed the most basic thing ever:
“Write a welcome message for school children.”
It gave her a paragraph.
She didn’t read it properly.
She didn’t ask for edits.
She didn’t check the tone.
She copied it and sent it straight to the printing machine.
By the time she saw the final print, her heart dropped.
The message sounded like a politician campaigning for office.
Long, dramatic sentences.
Too serious.
Not child-friendly at all.
Her boss read it slowly, then looked at her with disappointment.
“Blessing… this is not what I wanted.”
Her cheeks burned.
Her stomach twisted.
She rushed back to the AI app, frustrated, embarrassed, and confused.
“What’s wrong with this thing?” she muttered. “Why can’t it ever just give me the right thing?”
But then she stopped.
She remembered a recent post she’d seen online:
“The biggest mistake people make with AI is using it like a search engine instead of a conversation partner.”
A conversation.
Not a command.
She took a deep breath and tried again.
This time she typed:
“Rewrite this message for children aged 5–10.
Use simple English.
Make it warm, short, and friendly.
Make it sound like a big sister talking to them.
Avoid big vocabulary.
Keep it playful but respectful.”
The difference was shocking.
She read the new version and almost cried from relief.
It was perfect — simple, sweet, and exactly what the school needed.
For the first time ever, she realized the truth:
AI wasn’t the problem.
Her instructions were.
That day changed everything.
She began asking AI follow-up questions.
She gave it examples.
She explained the tone she wanted.
She asked it to improve, adjust, shorten, rewrite, and refine.
Every answer got better.
Every task became easier.
Her confidence skyrocketed.
A week later, her boss noticed the improvement.
“You’re getting really good at this AI thing,” he said.
Blessing smiled quietly.
She didn’t tell him the real secret:
She had simply stopped treating AI like a microwave — push one button, walk away — and started treating it like a conversation with a smart assistant.
The mistake everyone makes is expecting AI to read their mind.
But the people who get the best results?
They give AI context…
clarity…
details…
and a chance to improve the answer.
Blessing finally unders
tood:
AI is not magic.
It’s collaboration.
And the difference between frustration and brilliance is simply how you ask.