Detect hallucinations in an answer by extracting claims and checking entailment against the sources.
Asking a model 'is this answer hallucinated?' barely beats a coin flip. This is the build: claim extraction, a judge forbidden from using world knowledge, a denominator that excludes hedges, and one model call per claim, which decides where the check can run at all.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Asking a model 'is this answer hallucinated?' barely beats a coin flip. This is the build: claim extraction, a judge forbidden from using world knowledge, a denominator that excludes hedges, and one model call per claim, which decides where the check can run at all.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
