Starting a conversation by sharing your context, goals, constraints, and what kind of help you actually want sets up the AI to give more useful responses from the first message. This upfront investment—sometimes called priming or framing—beats repeating yourself or asking for reformatted versions of vague initial outputs.
AI session priming is the practice of front-loading a conversation with the context, constraints, and goals AI needs before you ask your first real question. This includes sharing your background, the purpose of the conversation, your preferred communication style, and any assumptions AI should make throughout the session.
A well-primed session produces more consistent, relevant, and personalized responses from start to finish without requiring you to repeat yourself or correct misunderstandings mid-conversation. It is the difference between treating each AI chat as a blank slate and treating it as a productive working session with a knowledgeable collaborator who is fully briefed.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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