Prompt Engineering: 7 patterns will change AI model results!

Prompt Engineering patterns - أنماط هندسة الأوامر

Delve into prompt engineering, the transformative technique powering AI breakthroughs. Discover its most famous patterns. Unleash the untold potential, crafting prompts that breathe life into intelligent machines. Join our journey to harness AI’s true capabilities and embrace the future. Welcome to the realm of prompt engineering’s magic. Let’s unlock the boundless potential together.

What is Prompt Engineering?

Prompt engineering is a problem-solving approach that emphasizes quick and effective solutions to various challenges. It involves employing specific techniques and tools to tackle problems promptly, ensuring minimal delay and maximum productivity.

Why You Should Learn Prompt Engineering?

Prompt engineering(PE) is a valuable skill that can benefit individuals across various professions and industries. Here are some compelling reasons why you should consider learning PE:

  1. Boost Efficiency: Prompt engineer equips you with strategies to swiftly identify and address issues, streamlining workflows and maximizing productivity.
  2. Effective Decision-Making: With prompts techniqe, you learn to make informed decisions promptly, reducing the risk of delays and costly mistakes.
  3. Enhanced Problem-Solving Abilities: By mastering prompt techniques, you can approach complex problems systematically and resolve them with ease.
  4. Adaptability and Resilience: PE fosters adaptability, enabling you to handle unexpected challenges efficiently and bounce back quickly from setbacks.
  5. Time and Resource Management: Learning prompts techniqe helps you manage time and resources effectively, optimizing outcomes in time-sensitive situations.
  6. Career Advancement: Employers highly value professionals who possess prompts techniqe skills, as they contribute significantly to organizational success.

Prompt Engineering Patterns and Techniques

What is prompt pattern?

It is a method by which we document a particular structure of statements in order to solve a specific problem using a large language model.

We may have specific words that we want. For example, we might want a large language model to tell us yes or no. We may want to summarize something, we may want to ask questions. We may always want to include certain things in their output.

Best 6 Patterns you should use

We are now going to explain the most common patterns that you can use to improve the results provided by the AI model and in our examples we will use the ChatGPT tool (GPT3 model).

1.Cognitive Verifier Pattern

Here you give the model a set of rules and ask him to follow them when he gets a specific question.

Format: when I aske you X, follow y rules.

Example: When you are asked to writes an article, follow these rules. Generate a number of additional questions about the article objectives, target audience, focus keyword, main titles, the tone of article . Combine the answers to these questions to help write the article.

2.Persona Pattern

Here we make the artificial intelligence model characterized by the personality of an expert or a professional, etc., and it is not necessary to give the character to something sane.

Format: Act as {persona character} or you are a {persona character}

Example: Act as  nutritionist provided a healthy system that helps a person who weighs 100 kilos lose weight within 30 days

Persona Pattern - Chatgpt

3. Audience Persona Pattern

Here I explain my personality to the language model so that it gives me answers that are compatible with my age and thoughts, It will be useful to get ideas for how to communicate ideas to different personalities.

Format: Explain X to me.Assume that I am Persona Y.

Example: Explain what is prompt engineering to me. Assume that I am a 9 years old.

Audience Persona Pattern - Chatgpt

4. Flipped Interaction Pattern

Here we ask the model to provide us with questions so that it has sufficient information to achieve a specific goal.

Format: Ask me questions to achieve X./ You should ask questions until condition Y is met


Ask me questions to achieve X./ You should ask questions to achieve this goal.

Example: I would like you to ask me questions to help me diagnose a problem with my Website SEO. Ask me questions until you have enough information to identify the two most likely causes. Ask me one question at a time. Ask me the first question.

Look now to the outputs! Here it will try to understand the problem in depth and with just one question by time.

Flipped Interaction Pattern

5. Game Play Pattern

Do you want to play with GBT Chat or create a useful game that can use AI model? There are a lot of ideas that this pattern will offer you.

Format: We’re going to play a game , descripe the game in detailed


Create a game for me to , descripe the game in detailed

Example: We’re going to play a game, you’re going to give me a simple task that

can be accomplished via prompting you. 

your task should all have a reasoning or programming component to them although they shouldn’t require source code.

I will try to write a prompt to solve the task. You will give me the output of

the prompt and tell me how well it solved the task. 

Ask me questions until I tell you to stop.

You will ask me a question, wait for my response, and then ask me another question after telling me how I did. Ask me the first question.

Output: Look to the picture! Funny and useful..

Game Play Pattern - cahtgpt pattern ai
Game Play Pattern - cahtgpt pattern ai

6. Template Pattern

Here you can give the model a specific template to return output according to this template.

Format: I am going to provide a template for your output ./X is my placeholder for content ./Try to fit the output into one or more of the placeholders that I list ./Please preserve the formatting and overall template that I provide  ./ This is the template: PATTERN with PLACEHOLDERS

You will need to replace “X” with an appropriate placeholder, such as “CAPITALIZED WORDS” or “<PLACEHOLDER>”. You will then need to specify a pattern to fill in, such as “Dear <FULL NAME>” or “NAME, TITLE, COMPANY”.

Note: *** The title appears bold , ### show h1

Example: Create a social medei posts for linkedin and twitter to educate people about cybersecurity. I am going to provide a template for your output . CAPITALIZED WORDS are my placeholders for content. Try to fit the output into one or more of the placeholders that I list. Please preserve the formatting and overall template that I provide. This is the template: POST TITILE, POST CAPTION, POST INFOGRAFIC IDEA, HASHTAGS

Output: it’s incridible doesn’t it?

Template Pattern

7.     Few-shot Pattern

Here we develop a pattern for the model to follow with examples, whether the format is specific to the director or something else.


Input: The experience is very bad

Sentiment: negative.

Input: Beautiful, fast and worth a try

Sentiment: positive.

Input: I don’t know, slow but good

Sentiment: Neutral

Now where ever we write

Input: …The model will give us Sentiment look to the picture

 Few-shot Pattern

Note: When the examples are inputs and outputs, the possibilities may be many. The examples and information that we give to the model are considered insufficient and may allow room for thinking about many things.

When you provide your examples of the model, consider the following:

  • Are your examples detailed enough?
  • Is the prefix for these things meaningful?
  • Do they give additional contexts that the large language model can use to figure out the next thing in the sequence.

One of the good things that you can do is to explain the reason for the answer or the way out in your examples and the way to think about it, and so the model will learn to think in the same way and give you the best answers.

In the following example, we explain to the model how to think about solving problems and complaints received by a restaurant.

Note: The more and more examples, the better the results.

Few-shot Pattern- Chatgpt pattern ai


Prompt engineering, a problem-solving approach that prioritizes quick and efficient solutions, empowers individuals across various professions and industries. Mastering prompt engineering brings numerous benefits, including increased efficiency, effective decision-making, and enhanced problem-solving abilities. This skill fosters adaptability, excellent time and resource management, and opens doors to career advancement.

The article introduces key patterns and techniques that unlock the potential of large language models. These patterns include the Cognitive Verifier, Persona, Audience Persona, Flipped Interaction, Game Play, and Template patterns. Each pattern offers unique ways to extract valuable insights and engage in interactive experiences with AI models.

By understanding prompt engineering’s core principles and applying its most famous patterns, readers can tap into the true potential of AI language models, leading to more effective and innovative problem-solving in diverse contexts. So, whether you’re an AI enthusiast, a professional seeking to enhance your skill set, or simply curious about the possibilities of prompt engineering, this article will equip you with the knowledge and tools to embrace the world of AI-driven problem-solving.

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