LLM Agents Interview Questions, issue 4, Feb 25, 2026
The Evaluator-on-Evaluator Trap
Senior AI Engineer interview at OpenAI, and the interviewer asks:
“Your math tutor LLM consistently nails the final answer, but silently hallucinates logic flaws in step 4 or 5. You are operating at scale and cannot afford human-in-the-loop verification. What fundamental architectural shift guarantees 100% intermediate correctness?”
Stacking one LLM to judge another doesn’t eliminate hallucinations - it multiplies correlated uncertainty unless you shift correctness into a deterministic proof engine.
The full answer, with the mechanism and the arithmetic, is for paid subscribers on Substack.