Hybrid rule plus AI seems stable

A hybrid approach often works well because rules handle the predictable cases while AI handles the messy ones. That balance reduces risk and makes the overall system more stable than relying on a model alone.

Rules give structure, and AI gives flexibility. Together they can create a system that is easier to control, easier to explain, and easier to trust in production.

For many products, the best architecture is not fully automated or fully rule-based. It is a careful blend that uses each layer where it is strongest.