The comparison below between the “before” and “after” prompts shows how a small change in wording can make a big difference to the quality of the AI’s response. In the first prompt, the AI gives a useful outline of the binomial theorem’s structure. In the improved prompt, adding details such as the student’s study level, a request for step-by-step explanation, and a worked example allows the AI to provide a much richer and more tailored answer. This highlights the importance of being specific about context and learning needs: the clearer and more directed the prompt, the more helpful and actionable the response will be.
“Hello! I’d like your help in improving the way I write prompts. Here’s the last prompt I used with you:
"Hello! I am a student studying Maths and I'm struggling to understand binomial theorem. Could you outline the main steps so that I can understand the structure first? Thank you!"
Could you tell me:
Great job — you’ve already written a really strong prompt! Let’s look at it step by step.
“Hello! I am a first-year undergraduate studying Maths, and I’m struggling to understand the binomial theorem. Could you outline the main steps in a clear, step-by-step way, and then give me a simple worked example so I can see how the structure applies in practice? Thank you!”