Member-only story
Prompt Engineering 101: Examples & Case Studies
Learn from examples and case studies
Welcome back, prompt enthusiasts! As you continue to explore the world of ChatGPT, it’s time to step up your game and learn from real-life examples and case studies. In this part, I will take you through various scenarios where others have successfully reverse-engineered the prompt engineering process.
We’ll evaluate their effectiveness and uncover the strategies they used to overcome challenges. So, grab your favorite snack, and let’s dive in!
The business proposal: Clarity and focus
Case study:
Sarah, a small business owner, needed ChatGPT’s help to create a business proposal for a potential partnership. Instead of overwhelming the AI with a long and complex prompt, she broke it down into smaller, specific questions. She asked about market analysis, target audience, potential benefits, and other relevant factors. By doing so, Sarah received concise, focused responses that she could easily combine into an effective proposal.
Lesson:
Break complex queries into smaller, more manageable questions. This approach will keep the conversation focused and help you receive more accurate, relevant responses.
