If your LLM keeps making things up, the problem isn’t the model alone—it’s the frame you hand it. Treating AI like a teammate invites confident nonsense; treating it like a lens turns language into leverage. This piece shows how to calibrate prompts, anchor meaning, and design the process so you get reliable, useful output. Fix the frame and the hallucinations drop.
Stabilizing the Coreprint: Beyond Propositional Value
For entities whose core signal is already coherent, the challenge shifts from discovery to durable structural expression—architecting resilient frameworks that translate settled value into adaptive, digitized presence.