Beyond Prompting: Why LLMs Need Hybrid Reasoning for Real-World Logic

This article highlights a critical flaw in current LLMs: they generate fluent but logically flawed answers that violate real-world constraints. By proposing a 'hybrid reasoning' approach where LLM outputs are rigorously inspected by specialized non-LLM tools, it offers a robust framework for AI reliability. This shift from simple prompting to structural verification is essential for deploying AI safely in complex enterprise environments.