Why AI systems should use deterministic logic instead of LLMs for some tasks

A blog post published on Vybe's website argues that not every function in an AI system needs to rely on token-based language model processing. The author makes a case for using deterministic, rule-based approaches for certain tasks where predictability and cost-efficiency matter more than generative flexibility. The piece highlights that over-reliance on LLMs for routine operations can drive up computational costs unnecessarily. It suggests developers should carefully evaluate which parts of their systems truly benefit from AI inference and which can be handled by traditional logic.