Prompt Patterns — Role, Context, Constraints, Examples

In the previous lesson, you learned the basics of writing clear prompts. Now we are going to level up. This lesson covers structured prompt patterns — specific techniques that give you fine-grained control over AI output.

Think of these patterns as tools in a toolkit. You do not need to use all of them in every prompt. But knowing what is available means you can reach for the right tool when you need it.

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Pattern 1: Role Prompting (System/Role Instructions)

One of the most powerful ways to shape AI output is to assign the model a role. When you tell the model who it "is," you activate a cluster of patterns in its training data associated with that role's expertise, vocabulary, and communication style.

How It Works

"You are an experienced secondary school physics teacher. Explain Newton's three laws of motion to a Year 9 class. Use everyday examples and avoid mathematical notation."

By assigning the role of "secondary school physics teacher," you are telling the model to:

• Use age-appropriate language
• Prioritise clarity over technical precision
• Include relatable examples
• Adopt an encouraging, educational tone

More Examples