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.
Why Your Content Automation System Keeps Failing and How to Build One That Actually Works
Most content automation systems collapse under their own complexity or produce generic noise. This breakdown of a working pipeline reveals why cognitive scaffolding beats simple automation, and how strategic AI orchestration creates consistent, identity-aligned content at scale.