Lesson Summary

This lesson equips you with concrete methods to verify AI outputs: claim typing (factual, numerical, policy, causal, strategic), triangulation techniques (primary source, independent source, system-of-record), and assumptions/uncertainty prompts that force AI to reveal hidden premises and confidence gaps. These tools transform vague "check this" into repeatable workflows. You'll apply all three techniques in the hands-on lab to audit an AI-generated course draft, identifying which claims are verifiable, which need SME approval, and which should be removed before publishing.