By skyforbes 
And how to do it the right way
Even if you are just a casual user of AI chatbots, you probably have heard by now the term “prompt priming.” Priming, in fact, is absolutely essential to get anything other than a generic answer from AI.
In emergent AI terminology, priming is a somewhat ill-defined term, and in the typical “10 best ways to prompt AI,” it gets conflated with other methods to guide and influence LLMs.
And some of those things can be helpful; some are misguided.
If you were to type in Google search “AI priming,” you would probably get an answer similar to this one:
“AI priming is the process of providing context, information, or guidance to an AI model to influence its subsequent responses, leading to more relevant and accurate output. This can be done by setting a specific persona, providing examples, or giving a series of preliminary instructions before the main prompt. It’s a form of prompt engineering that improves AI performance by helping it better understand the user’s intent and desired output format.”
This is, in fact, not a bad definition of priming, but it is somewhat fluid and ripe for misinterpretation, and, as a result, it is quite useless advice.