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Prompt Engineering Explained: How to Write AI Prompts That Get Better Results

August 2, 20266 min read
Prompt Engineering Explained: How to Write AI Prompts That Get Better Results

What Is Prompt Engineering? A Beginner's Guide

Have you ever wondered why you got such a terrible response from ChatGPT? If so, then this article is exactly what you need!

The problem is seldom with the model itself; it is often with the prompt.

What is the prompt?

A prompt is the instruction you provide to the AI language model.

The higher the quality of the instruction, the better the response you will get.

And this is exactly the idea of prompt engineering.

And although it sounds rather scary to some, prompt engineering is not a technique that involves learning complicated codes.

It is just the technique of communicating with AI.

If you've ever wondered why ChatGPT gives different answers to the same question, our guide on Why ChatGPT Provides Different Answers to the Same Question explains how prompts and conversation context influence AI responses.

What is Prompt Engineering?

Prompt engineering is the art of providing clear and well-structured instructions to the AI in order to let it know what exactly you want.

When asking your friend for directions, you should not simply ask "How do I get there?" but say something like "How do I drive from Chennai Airport to Marina Beach avoiding toll roads?"

AI works the same way.

The more context you provide, the better the model understands your request.

Why does prompt engineering matter?

The large language models are trained on vast amounts of data.

They know a lot.

The one thing they do not know is what you want from them.

Prompts are what can solve the problem.

Good prompt decreases uncertainty.

It tells the AI what it should do:

  • What is your goal;
  • Who is your audience;
  • In which format you need the answer;
  • How it should be written (the style);
  • Some additional rules, etc.

If you're using AI for writing, our guide on Best AI Tools for Writing in 2026 shows how better prompts can improve the output from different AI writing assistants.

A Simple Example

Here is a bad prompt:

Write an article about AI.

A lot of assumptions should be made by the AI.

Now look at the following one:

Write a 1,500-word article about AI agents. Explain everything in simple English, include examples, FAQs, and practical tips.

This prompt provides much more information to the AI.

And the response is generally much better.

The Five Elements of a Good Prompt

Usually, most successful prompts include five simple components.

1. Tell the AI What You Want

Start the instruction with the statement of your goal.

Instead of saying "Explain AI," tell the AI "Explain artificial intelligence to a person with no technical background".

2. Add Some Context

The context will help AI to understand the situation.

For example, you can say:

  • "I am writing a blog for beginners."
  • "I am preparing for my job interview."

Little things can make a great difference.

3. State the Format

Tell the AI exactly how you want the answer to be provided.

Some examples of formats are:

  • Blog post
  • Table
  • Checklist
  • Email
  • Step-by-step guide
  • Bullet summary

If you do not provide the instruction about the format, the AI chooses the format by itself.

4. Describe the Audience

You should explain who your audience is because the same topic should be explained in a different way for each audience.

For example, the AI should explain the topic to:

  • A 10-year-old student
  • Software engineer
  • Business owner
  • College student

5. Add the Additional Rules

Tell the AI what should be avoided:

  • Use simple English.
  • Keep paragraphs short.
  • Do not use any technical terminology.
  • Provide real-world examples.

Common Mistakes in Prompt Engineering

One of the common mistakes in prompt engineering is expecting great results from very brief instructions.

For example:

Write something about AI.

Such vague prompts leave too much space for assumptions.

Another common mistake is adding unrelated requests into one prompt.

Instead of asking AI to write a blog, generate social media posts, create images, and write some code simultaneously, split this task into several ones.

Focused prompts will always bring better results.

Is Prompt Engineering the Same as Coding?

Not really.

You don't have to know how to code to start practicing the prompt engineering.

The development of AI applications often uses advanced prompt engineering techniques by programmers.

However, you don't have to be a developer to practice prompt engineering.

If you're building AI applications, you may also like our guide on Best AI API Platforms in 2026 to learn how prompt engineering works alongside AI APIs.

Will Prompt Engineering Remain Relevant in the Future?

Yes, definitely.

The AI models become smarter and understand vague instructions better now.

Nevertheless, the clear prompts always produce better results.

As AI becomes the part of our lives, prompt engineering becomes a valuable skill for writers, marketers, students, designers, developers, and business owners.

It is not learning AI, but how to communicate with it.

Best Practices for Better Prompts

There are several habits that can greatly improve any AI conversation:

  • Try to be specific instead of vague.
  • Give the context whenever it is possible.
  • Mention your audience.
  • Specify the format.
  • Refine the prompt if necessary based on the response.

Prompt engineering is often an iterative process.

Improvements of your prompts can greatly improve the response.

If you use multiple AI assistants, you may also find our comparison of Best ChatGPT Alternatives in 2026 useful to understand how different models respond to prompts.

Conclusion

Prompt engineering is not some trick.

It is just a way of giving the better instruction to the AI.

The clearer the request is, the more useful the response will be.

With ChatGPT you can use prompt engineering for writing, coding, learning, research, business, etc.

And mastering prompt engineering will help you to get the most out of each conversation with AI.

As AI evolves, people who know how to ask the right questions will get the best answers.

To build reliable AI-powered workflows, combine good prompting with AI Workflows and How to Fact-Check AI Answers for more accurate and consistent results.

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