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
A self-review step can compare an output with explicit domain checks, but it is not independent evidence because the same model may repeat the same error. Use it as one evaluation signal rather than a guarantee of correctness.
External Verification Chains
For high-stakes decisions, use independently testable checks for numerical bounds, schema conformance, permissions, and business rules, plus human approval where required. Passing those checks confirms only the conditions they cover; it does not establish overall correctness or legal compliance.
ActiveMotion Team
AI Research
The ActiveMotion engineering and research team