Figure 8: Seven principles separate a robust hybrid classifier from a naive “just ask the model” approach. Each row contrasts the failure mode (left) with the design choice that fixes it (right) — favoring richer context, replayable decisions, honest metrics, an uncontaminated reference set, quality-gated coverage, distillation into rules, and a controller that knows when to stop.