Topic and Scope Restrictions

AI models are trained to be helpful and comprehensive. Left unconstrained, they will often include context, background, alternatives, and caveats that you do not need for your specific use case.

Scope restrictions in prompts tell the model to stay within a defined boundary — a topic, a domain, a perspective, or a set of considerations. Without them, you often get answers that are broadly correct but too wide to be directly useful.

The most direct scope pattern is "Focus only on X":

• "Focus only on the security implications — do not discuss performance."
• "Cover only the onboarding process, not the full product feature set."
• "Discuss only open-source tools. Do not mention commercial products."

This pattern works best when X is a clearly defined, bounded category. Vague focus instructions ("focus on the important things") are too subjective to be useful.