Stop Writing Better Prompts. Start Giving Better Examples.

Most people are trying to teach AI the wrong way.

They write prompts like this:

Don't sound robotic.
Don't use buzzwords.
Don't use emojis.
Don't use filler.
Don't use jargon.
Don't sound like AI.
Don't be repetitive.
Don't be boring.
Don't be too formal.

And then they wonder why the output still feels... artificial.

I've made the same mistake.

The funny thing is that AI isn't failing because it doesn't understand the instructions.

It's failing because we've spent the entire prompt explaining what we don't want while never showing what we do want.

That's like teaching someone to cook by saying:

"Don't burn it."

"Don't make it salty."

"Don't overcook it."

"Don't make it bland."

Eventually they're going to ask:

"Okay... but what am I actually trying to make?"

The biggest prompting mistake

Many people treat prompting like writing a list of restrictions.

The prompt becomes a giant collection of:

• Don't do this
• Don't do that
• Avoid this
• Never say that

The problem is that restrictions aren't examples.

Imagine hiring a new employee.

On their first day, you tell them:

• Don't be late
• Don't make mistakes
• Don't upset customers
• Don't miss deadlines

Have you actually taught them how to do the job?

Not really.

You've only described failure.

You haven't shown success.

AI works exactly the same way.

Why examples beat instructions

Let's imagine I ask two people to paint a house.

For the first person, I say:

Don't use dark colors.
Don't use ugly colors.
Don't make it look old.
Don't make it look boring.

For the second person, I simply show them a photo and say:

Make it look like this.

Who is more likely to succeed?

The second person.

Because examples remove ambiguity.

Humans learn through examples.

AI does too.

The better approach

Instead of spending ten minutes writing rules, provide examples.

For writing, that means sharing your own work.

A much better prompt looks like this:

Read the attached file.
 
It contains examples of my writing.
 
Study:
- Tone
- Sentence length
- Openings
- Structure
- Vocabulary
 
Then use those patterns when writing.

Notice the difference.

Instead of describing your voice, you're demonstrating it.

The AI no longer has to guess.

Why this works so well

Think about how musicians learn.

They don't start by reading:

Don't play the wrong note.
Don't lose rhythm.
Don't sound bad.

They listen.

They observe.

They imitate.

Then they develop their own style.

Writing works the same way.

The fastest way to teach AI your style is not through rules.

It's through examples.

Examples contain information that is difficult to explain:

• Rhythm
• Energy
• Personality
• Flow
• Sentence patterns
• Openings
• Closings

You may not even realize these patterns exist in your own writing.

But AI can detect them immediately.

Build your own reference file

One of the most useful things you can do is create a personal reference document.

Mine would look something like this:

1. Collect 10–15 pieces of writing you're proud of.
2. Include posts, emails, blogs, or articles.
3. Add a short note explaining why each piece worked.
4. Save everything into a single document.
5. Use that document whenever starting a new AI writing session.

Now instead of teaching AI from scratch every time, you're giving it a playbook.

It's the difference between:

Be like me.

and

Here are 15 examples of me.
Learn from them.

The second approach is dramatically more effective.

The chef's recipe book

I like to think of this as a chef's recipe book.

Imagine a famous chef wants to train a new cook.

They could spend hours saying:

• Don't add too much salt.
• Don't overcook the vegetables.
• Don't burn the sauce.

Or they could hand over their recipe book.

The recipe book contains examples.

The examples contain experience.

The experience contains the result.

That is exactly what your reference file does for AI.

It becomes your recipe book.

What changed for me

The biggest shift happened when I stopped treating AI like a machine that needed instructions.

And started treating it like a new team member that needed examples.

The quality improved immediately.

Not because my prompts became longer.

But because they became clearer.

Today, when I want AI to write something in my style, I rarely start with rules.

I start with examples.

Because rules tell AI what to avoid.

Examples teach AI what success looks like.

And in my experience, that single change has produced better results than any prompt engineering trick I've tried.