Can you speak the Language of AI??....

Understanding the common mistakes in prompt creation is crucial for generating high quality AI-driven case studies. In this issue, we explore the importance of prompt engineering, providing you with best practices, examples of effective and ineffective prompts, and practical tips for refinement.

The phrase "CRAP IN, CRAP OUT"…. is so important! 

Table of Contents

• Can you speak the Language of AI??....

• As per your request: A weekly Prompt

  • The Importance of Prompt Engineering

  • Characteristics of Effective Prompts

  • Good vs. Bad Prompt Examples

  • Practical Tips for Refining Prompts

  • Practical Steps to Master Prompt Engineering

    • 10 Custom Prompts for modify a Case1. Expand upon …

• So what's next?

• Why do I give you a Huge Prompt Example each week? …

• Wrapping it all Up!

  • If you have a podcast, I would love to speak on it …

  • If you have a newsletter or website, I would love …

  • Your Feedback Matters -

The landscape of digital tools has introduced a unique asset in the form of AI, prompting us to question whether these technologies can truly enhance our writing processes or if they risk diluting the authenticity of human expression or opinion.

The Importance of Prompt Engineering

Prompt engineering is a critical skill for generating high-quality and relevant AI-driven content. By understanding and applying best practices, you can significantly improve the quality of your AI-generated case studies.

Last Monday we talked about how AI can be either a Crutch or Companion and that we need to be aware of when writing with AI for Case studies. (Read Below)

In Layman's terms... It all depends on how you use it. Dependency is a real thing when AI can seemingly write for you.

Here is the Cole's notes Main Take-away for this newsletter....

I value your input so please "Reply to this email" and share your thoughts or opinion! What topics do you want to see covered and what is working/not working with your AI and case writing journey.

If you want to learn how with examples - Continue reading or See you Next Time.

As per your request: A weekly Prompt

The Importance of Prompt Engineering

Prompt engineering is essential in AI content creation. It shapes the quality and relevance of the generated outputs. Understanding this can significantly improve your AI-generated case studies.

Characteristics of Effective Prompts

• Specificity: Avoid vague instructions. Provide detailed and clear guidelines.

• Context: Include background information, desired tone, and target audience.

• Examples: Showcasing both good and bad examples helps set clear standards.

Good vs. Bad Prompt Examples

• Bad Prompt: "Write a case study about marketing."

  • Lacks specificity and context, resulting in a generic output.

• Good Prompt: "Write a detailed case study about a small business successfully using social media marketing to increase brand awareness. Include an introduction, the business background, the marketing strategies used, the results, and a conclusion."

  • Provides specific instructions and structure, leading to a more focused and relevant case study.

Practical Tips for Refining Prompts

1. Iterative Testing: Test and refine your prompts based on AI's output.

2. Feedback Incorporation: Use feedback to improve your prompts.

3. Continual Learning: Stay updated with the latest advancements in AI and prompt engineering.

Practical Steps to Master Prompt Engineering

1. Start with a clear objective. Know what you want to achieve with your case study.

2. Draft a detailed prompt that includes all necessary elements—objective, context, structure, and examples.

3. Test the prompt with the AI and review the output. Identify areas for improvement.

4. Refine the prompt based on the test results and repeat the process until you are satisfied with the output.

5. Document successful prompts for future use and share them with your team to standardize quality.

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10 Custom Prompts for modify a Case

1. Expand upon the contextual background information provided in the case study to provide a more comprehensive understanding of the situation.

2. Analyze the theoretical framework used in the case study and provide insights on how it influences the decision-making process.

3. Develop discussion questions that delve deeper into the key issues and challenges presented in the case study to encourage critical thinking and analysis.

4. Create detailed teaching notes based on the format of the case study, including key takeaways, discussion points, and potential teaching strategies.

5. Generate assessment prompts that assess the learning objectives outlined in the case study, focusing on critical thinking, problem-solving, and application of theoretical concepts.

6. Identify the strengths, weaknesses, opportunities, and threats of the case study, providing a comprehensive analysis of the internal and external factors at play.

7. Propose assignment or project ideas that can further explore the key issues and challenges presented in the case study, encouraging students to apply their knowledge and skills.

8. Enhance the analysis of key issues in the case study by providing additional insights, data, and perspectives to deepen the understanding of the situation.

9. Explore possible outcomes and conclusions based on the information provided in the case study, considering different scenarios and potential implications.

10. Double the length of the case study by adding more detailed information, insights, and analysis to provide a more comprehensive and in-depth exploration of the topic

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So what's next?

Here is an example prompt from my free Case Study Prompt Generator.....

Case Category: General Management/Strategy
Case Topic: socio-economic inequities, harassment
Case Style: Legal Consultation

You are a expert case study writer who will take this information and write a complete case based on this information with the category and topic. Main Prompt for Case Generation:

To use a language model like GPT-4 to create case studies, you need to follow a series of steps that involve understanding the case, defining its scope, preparing the data, and finally generating the case studies. Here is a detailed breakdown of the process:

1. Understand the Case: Firstly, understand what kind of case study you want to generate. This might include the topic socio-economic inequities, harassment, the intended audience, the structure of the case study, and the kinds of information you want it to include. These factors will guide your preparation of the data.

>>>>The writing length MUST be detailed, reflective of the content and build upon itself so that the final product is detailed.

1. Generate a Main Theme is General Management/Strategy.

2. The topic is socio-economic inequities, harassment.

3. Type of case: Legal Consultation.

Data for establishing kinds of cases Case studies can be used in various fields to analyze and understand different aspects of a particular subject or situation. They can be categorized in different ways based on the purpose they serve, the approach they take, or the structure they follow.

Here are a few categories of case studies based on the structure or approach:

1. Exploratory Case Studies: These are condensed case studies performed before implementing a large-scale investigation. The primary goal is to help identify questions and select the types of measurement prior to the main investigation.

2. Descriptive Case Studies: These involve starting with a descriptive theory. The subjects are then observed and the information gathered is compared to the pre-existing theory.

3. Explanatory Case Studies: These are often used to do causal investigations. In other words, researchers use these to study how event A leads to event B. These structural categories allow you to decide on the kind of case studies you will be generating. If you are focusing on AI-generated case studies, you might want to keep the structure more streamlined and simple. Descriptive or illustrative case studies might be best suited for AI generation because of their straightforward structure.

>>>>The structure of the case is....Legal Consultation.... When considering your target audience, think about who will be most interested in the topics you are covering in your case studies. This could be businesses looking for insights into specific situations, students learning about particular subjects, or professionals seeking knowledge or understanding of specific phenomena. The type of case studies you decide to produce can definitely affect your target audience. For instance, exploratory case studies might be more useful for academic or research audiences who are planning in-depth investigations. On the other hand, descriptive or illustrative case studies might be more suited for a more general audience looking for a comprehensive understanding of a particular subject.

Your answers to these questions will help define the kind of data you need to effectively write the case study.

1. Case study scope: The industry can be anything, the focus or subject for the topic is your discretion and the issue is yours to decide; this is a business case.

2. Data Preparation: Once you have a clear understanding of the type of case studies you want to generate, you'll need to collect and prepare the data to train the model. You might consider the following steps:

3. Data Formatting: In order for the model to understand your data, you need to format it correctly. This means deciding on a consistent structure for your case studies and making sure all of your data follows this structure. I need some figures and numbers that can add to the case story; you generate them and make them flow.

4. Generating Case Studies: Once the model is fine-tuned, you can generate case studies. You can do this by providing the model with a prompt and asking it to generate the rest of the text. The prompt might include some details about the case study you want, and the model will generate text based on what it learned during fine-tuning.

5. Generate a university-level Case Study that is detailed and consistent in the theme of General Management/Strategy and the topic is socio-economic inequities, harassment. The writing needs to be complete, straightforward, and not biased towards any one player in the case. The topic is socio-economic inequities, harassment, and have enough detail in the scenario that students have enough time to read the case (3 pages in length) and then take their knowledge and apply that critical thinking to the case questions that we will create after. Here is some information on why people use cases...

:::::::Why are case studies used? A case allows (the student) to step figuratively into the position of a particular decision-maker. Cases allow students to put themselves in the place of actual leaders and decision-makers. Students are able to analyze situations, develop alternatives, choose plans of action and implementation, and communicate and defend their findings in small groups and in class. Cases are used to test the understanding of theory, to connect theory with application, and to develop theoretical insight. Cases are one of the best ways to enable students to learn by doing. The Case study you generate needs to follow the this format EXCLUSIVELY - Legal Consultation.

:::::::Business Case Study Format A typical case study begins with a paragraph describing the problem facing a manager, leader, or executive. The case often gives background information on the industry, the organization, and the stakeholders involved. Much of the background information for a case is in the public domain. The case then typically returns to the dilemma faced by the protagonist. At this point, it is helpful to include comments from company executives. Their perspective, management style, and deliberations bring realism to the case. The case concludes with a recap of the problem addressed at the outset of the case. Depending on the focus of the case, it may include financial statements, organization charts, process flow charts, and other related information.

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Why do I give you a Huge Prompt Example each week? 

I hope that is gives you some ideas as to how to prompt AI to get the most out of it for Case Study Writing.

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Wrapping it all Up!

If you are interested in trying out the Free Case Study Prompt Generator .. Click the image below.

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Thank you for being a part of our community. Together, we're shaping the future of education, one case study at a time!

Warm regards,

Matthew 

The Teaching with Cases Team