Fact Check

Run this as a separate pass after generation to catch hallucinations in your output. It extracts every verifiable claim, checks each against actual sources, and flags what's confirmed versus what you made up. The key insight is that LLMs can't reliably fact-check while generating because the same weights that produced the error will confirm it. You need fresh attention focused solely on verification. It walks through claim extraction, categorization by verifiability type, source checking, and confidence assignment. Watch for plausible fabrications, precision inflation, and amalgamations where you blend multiple sources into one fictional reference. The checklist ensures you verified against external sources, not just your training data memory.