• guardrails — The checks around a model that block bad inputs and outputs — filters, validators, and permission rules the model itself can't override.

Knowing that most failures come from early anchoring, not arithmetic, tells you where to spend guardrails: force source re-reading and hypothesis revision rather than more verification passes. The per-model split also explains why swapping models changes which failures you see.

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