Example Conversations

Learn from real examples of effective AI interactions. See the difference between poorly-engineered and well-engineered prompts, and how to build context iteratively.

Poor vs. Good Prompting

See how adding context and specificity transforms AI responses

Poor Prompting Example
This approach is too vague and doesn't provide enough context for useful results
Student

Explain heart failure

AI Response

Heart failure is a condition where the heart can't pump blood effectively. It can be caused by various factors and leads to symptoms like shortness of breath and fatigue.

Why This Doesn't Work:
  • Too generic and textbook-like
  • Doesn't specify learning level
  • No context for why you need this information
  • Response lacks depth for nursing students
Good Prompting Example
This approach provides clear context, specifies the level, and states the desired outcome
Student

I'm a senior BSN student preparing for my cardiac exam. I understand the basic definition of heart failure, but I'm struggling to understand the pathophysiology of left-sided vs right-sided heart failure. Can you: 1. Explain the mechanism of each type 2. Describe how the symptoms differ and why 3. Give me a memory trick to remember which symptoms go with which type 4. Explain what this means for nursing interventions I need this at a level appropriate for NCLEX preparation, not oversimplified.

AI Response

Great question! Let's break down left vs. right-sided heart failure with the detail you need for NCLEX... **Left-Sided Heart Failure - The 'Backup into Lungs' Problem** When the left ventricle fails, it can't pump blood forward effectively into systemic circulation. This causes blood to back up into the left atrium, then into the pulmonary veins and capillaries... [Detailed explanation continues with mechanisms, symptoms, memory tricks, and nursing implications]

Why This Works Better:
  • Specified learning level (senior BSN, NCLEX prep)
  • Stated existing knowledge to avoid repetition
  • Requested specific format and depth
  • Explained the 'why' behind the question
  • Got a detailed, clinically relevant response

Ready to Try It Yourself?

Use these examples as inspiration for your own AI study sessions