Hey Fellow Case Writers!

In this edition I wanted to share a one-time experience where I tried out Claude free version and in one prompt, wrote a case that was good enough for my class to interact with and use.

Yes, one prompt. I was shocked as well but it did happen.

I have shared the link to the conversation and also I will document the case for you to see and download.

This is the claude conversation.. https://claude.ai/share/5eb45750-e379-47e7-8df7-8812d2cada44

Back to the Newsletter…..

So how did I do this?

I used my prompt generator here..https://www.teachingwithcases.com/free-case-study-generator/

Then I copied the prompt into Claude and the magic happened.

The prompt is about 2400 words so I won’t post it but it is available in the claude conversation link above.

Here is the output for you to download. This version has been formatted etc.

Writing Analysis

I put the text into my writing analysis tool you can find here.. https://www.writinganalysis.ca/

Regardless of the writing analysis tool results, I was really impressed how this case was written with one prompt (yes a 2400 word prompt) that was really well done.

Now this is a hypothetical case or Synthetic as I have used many times. If that is a problem then we can adjust it to be as authentic and fact barring as you want. It just takes data and time.

Case Analysis - Summary

The case follows James Mercer, CEO of BlockChain Solutions, as he navigates mounting financial and operational challenges in the Bitcoin mining industry. With rising energy costs, regulatory pressures, and the upcoming 2024 Bitcoin halving, BlockChain Solutions faces an existential threat. To maintain profitability, Mercer considers leveraging AI and predictive analytics to optimize operations and reduce costs.

The case introduces two key innovation tracks:

1. AI-driven mining optimization (hardware efficiency, energy consumption reduction, and predictive maintenance).

2. Predictive text analytics (using sentiment analysis, NLP-driven log analysis, and regulatory risk assessment to inform decision-making).

The executive team debates whether to pursue full-scale AI adoption, a phased approach, or seek external funding. The core dilemma revolves around balancing financial risk against long-term sustainability and efficiency gains.

Topic & Categories

• Topic:
  This case explores the intersection of AI, predictive analytics, and cryptocurrency mining, focusing on how data-driven strategies can provide a competitive advantage.

• Categories:

  • Technology & Innovation – AI-driven mining and predictive analytics

  • Financial Strategy – Investment decisions, risk assessment, and funding

  • Operational Optimization – Efficiency improvements in Bitcoin mining

  • Industry Evolution – Impact of AI and regulatory shifts on cryptocurrency mining

  • Ethical & Regulatory Considerations – Use of predictive analytics in compliance

Main Protagonists

• James Mercer (CEO, BlockChain Solutions) – The central decision-maker who must choose a path for the company’s future.

• Dr. Lisa Chen (CTO) – Advocates for AI-driven mining efficiency improvements.

• Robert Keller (COO) – Cautious about financial risk, favors a phased AI implementation.

• Samantha Rodriguez (CFO) – Highlights cash flow risks and suggests seeking venture capital.

• Rebecca Torres (Data Science Director) – Proposes text analytics solutions for sentiment analysis, predictive maintenance, and regulatory monitoring.

• Mark Johnson (IT Director) – Focuses on the challenges of data integration and governance.

The Decision Dilemma

As the board meeting approaches, James faces critical questions:

1. Should BlockChain Solutions implement all AI and predictive analytics initiatives at once, or should they prioritize specific ones?

2. How can they balance financial risk while ensuring long-term sustainability?

3. What organizational changes are necessary to support AI and data science initiatives?

4. How should they handle the ethical concerns surrounding regulatory monitoring and social media analytics?

5. Should they seek external funding to mitigate financial risks, even if it means dilution of ownership?

The case presents a classic trade-off between innovation and risk, where the company must decide whether to bet big on AI-driven optimization or take a more conservative approach.

Just think of the potential of this tool.

More experimentation for me.

Other Resources and Books

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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.

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