If you sometimes feel that:

• Results are superficial

• Answers are long without value

• Or completely different from what you want

The problem is usually not with ChatGPT… but with how you write your prompt.

A truth nobody tells you:

80% of result quality comes from prompt quality

In this guide we'll cover:
✅ The 10 most common mistakes users make
✅ Why they lead to poor results
✅ How to fix them immediately
✅ Before/after examples for each mistake
✅ And professional tips to think like prompt engineering experts

Mistake 1: Writing a prompt that's too short

❌ Example

Write an article about marketing

The Problem

• Too generic

• No audience

• No length

• No style

The AI just guesses.

✅ The Solution

Write a 1200-word article about digital marketing for beginners, in simple language with practical examples and subheadings

More details → Better quality.

Mistake 2: Not specifying the output format

❌ Example

Give me a project plan

The Result

A long, disorganized paragraph.

✅ The Solution

Create a project plan in a table that includes: Phase – Tasks – Duration – Owner – Cost

Always specify: table / bullet points / presentation / code.

Mistake 3: Not mentioning the target audience

❌ Example

Explain artificial intelligence

The Problem

Is it for a child? An engineer? A manager?

✅ The Solution

Explain artificial intelligence to a non-technical person using examples from everyday life

Audience changes everything.

Mistake 4: Giving multiple tasks in one sentence

❌ Example

Write an article and make a summary and design a plan and come up with ideas

The Problem

Scattered and weak results.

✅ The Solution

Break it down:

1. Write the article

2. Summarize it

3. Suggest additional ideas

Divide tasks to get higher quality.

Mistake 5: Forgetting constraints

❌ Example

Write a report

The Problem

It might be 3000 words or 3 lines.

✅ The Solution

Write a report of exactly 500 words, concise and direct

Constraints make results precise.

Mistake 6: Using language that's too vague

❌

Give me awesome ideas

"Awesome" is ambiguous.

✅

Suggest 20 creative and actionable content ideas for a tech blog with attention-grabbing titles that are SEO-optimized

Be specific, don't use emotional words.

Mistake 7: Not providing an example

This is one of the most powerful techniques that beginners ignore.

❌

Write a professional LinkedIn post

✅

Write a LinkedIn post with a style similar to this example:
"We started the project with a simple idea… and today we serve 10,000 customers…"

Giving an example = results closer to what you want.

Mistake 8: Expecting it to read your mind

AI doesn't know:

• Your company

• Your project

• Your audience

• Your experience

The Solution

Always add context:
"I own an educational platform targeting university students in Saudi Arabia…"

Every detail helps.

Mistake 9: Not iterating on the response

Many people write a prompt once and give up.

While professionals:

• Ask for improvement

• Ask for rephrasing

• Ask for more examples

• Ask for brevity

Example

Improve the answer and make it more practical and add real examples

Mistake 10: Reinventing the wheel every time

Writing prompts from scratch daily = wasted time.

Why not use:

• Ready-made templates

• A library of tested commands

• Professional phrasings

And that's where Awamer comes in.

Quick summary table

How to avoid these mistakes easily with Awamer?

Instead of:
❌ Trial and error
❌ Rephrasing 10 times
❌ Wasting hours daily

You get:
✅ Professionally written prompts
✅ Organized by category
✅ Ready to copy
✅ Guaranteed results

Meaning:
Less time + higher quality + doubled productivity

The Bottom Line

If your results are poor, don't change the tool…
Change how you ask.

Remember:

AI executes instructions literally

The clearer you are, the better the result.