Chain-of-Thought Verification: Beyond Simple Prompting

The Limits of Naive Chain-of-Thought

Chain-of-thought prompting was a breakthrough for model reasoning, but in production settings it is not enough. Models can produce fluent but incorrect reasoning chains, and without external verification there is no way to catch these failures before they propagate.

Self-Critique as a First Pass

We add a self-critique step where the model reviews its own reasoning chain against a set of domain-specific invariants. This catches obvious logical errors and inconsistencies without requiring an external tool call.

External Verification Chains

For high-stakes decisions, self-critique is not sufficient. We route the reasoning output through deterministic verification functions that check numerical bounds, schema conformance, and business rule compliance. Only outputs that pass all verification stages are returned to the user.