Prompt priming is loading the AI's context before you make your actual request, much like briefing someone on background before asking them for help. You establish tone, scope, constraints, and assumptions upfront, so the AI isn't guessing at what matters—it already knows the frame you're working inside.
Prompt priming is the practice of opening a conversation with background information, preferred communication style, or situational context before making any actual request, so the AI is calibrated to your needs from the very first response.
This front-loaded approach saves significant time by reducing misaligned outputs, and it is especially useful when you plan to ask multiple related questions in a session and want consistent, personalized answers throughout.
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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