Prompting is the art of communicating effectively with a generative AI language model. When you write a prompt, you give GenAI an instruction, a question, or a context that the model uses to generate a response. The quality of GenAI’s output depends heavily on the quality of your input.
Think of it as assigning a task to a highly competent colleague who has never worked with you before: the more precise you describe the task, the context, and your expectations, the better the result will be.
As a student, the best prompt is the one that makes you think more – not less. Use generative AI as a patient learning partner, not as a shortcut. Your future career is built on understanding, not on the ability to get the right answers from a machine.
The five basic principles of good prompts
Before diving into specific techniques, here are five principles that apply regardless of which technique you use.
- Be specific and clear
Avoid vagueness. Write exactly what you want.
“Write a draft for a welcome email to new employees” is better than “write an email."
- Provide context
Tell GenAI who you are, who the recipient is, and what the purpose is. Context makes the response relevant and precise.
- Specify format and scope
Do you want a short summary, an in depth explanation, a table, or a bullet list? State this explicitly.
- Iterate and improve
The first prompt is rarely perfect. Use the responses to refine your prompts. Prompting is a conversation, not a single command.
- Give examples when possible
Examples of the desired output are often more effective than long descriptions of what you want.
