PROMPT
ENGINEERING
A practical guide to crafting better prompts and getting more useful results from AI models.
Prompt engineering is the practice of designing and refining text inputs to AI models in order to get accurate, useful, and relevant outputs.
Think of it as learning to speak the AI's language — the better your instructions, the better the result.
Two people using the same AI can get completely different quality answers based purely on how they ask.
Good prompts unlock deeper reasoning, creative thinking and domain expertise that the model won't show by default.
A well-crafted prompt gets you the right answer on the first try instead of multiple clarifying iterations.
'Churn 5%' → '⚠️ 5% of customers churned this month'
Give simple and clear instructions without examples. Useful for a quick, general response.
Provide a few examples of what you want the AI to mimic. Helps the model learn your desired structure or tone.
Include direct commands using verbs like "write", "explain", or "compare."
Ask the AI to assume a particular persona or viewpoint. Useful for creativity and domain-specific responses.
Include relevant background or framing before asking. Helps the AI tailor responses to a specific audience or setting.
Behind-the-scenes instructions that set the AI's behavior, tone, or scope. Typically used when building your own AI tool.
