Originally published on AI Tech Connect.
Why a prompt that works does not travel A prompt that has been in production for a year is not a piece of text. It is a negotiated settlement between what you wanted and how one specific model behaves: every clause in it exists because somebody observed a failure and added a sentence to stop it. Move that prompt to a different model and roughly half those clauses now solve a problem the new model never had, while a set of problems you never encountered are entirely unaddressed. Put more precisely: a production prompt encodes an implicit contract with one model's instruction-following calibration. How strictly it obeys a negative instruction. How verbose it is when you say nothing about length. How much weight it gives a constraint buried on line 40 of a long system prompt versus the same…
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