A short how-to on prompt engineering: defines prompt engineering as crafting better questions for generative AI, contrasts a vague request with a detailed engineered prompt (example: a sales email offering a limited-time 20% discount), and gives actionable tips — be clear, specific, provide background/context, and personalize prompts. Ends with a pointer to an AI glossary for further reading.
Prompt engineering might sound complicated, but trust me, you definitely don't need a degree for this one. It basically means figuring out how to ask generative AI questions to get the answers you need. The better the prompt, the better the response. For instance, let's look at this generic prompt here. Compose a sales email for our special offer. Now compare it to an engineered prompt. Write a compelling sales email announcing a limited time 20% discount on a premium subscription plan to entice existing customers to upgrade. See the difference? Specificity and context matter for the best results. So when you're creating prompts, keep these tips in mind. Be clear and specific. Add tons of background info, context, and details. Don't forget to personalize your prompt with these tips, you're ready to prompt like a pro. For more on generative AI, explore our AI glossary.
