You will focus on using generative AI to draft policy content without sacrificing editorial trust. Learners explore why undocumented AI use creates risk, then practice a structured prompting approach that treats prompts as editorial decisions rather than shortcuts. Through hands-on drafting, logging, and redaction, learners build a first-draft workflow that is transparent, compliant, and defensible—one they can clearly explain to editors, standards teams, or legal reviewers.

In this lesson, you will explore the shift from drafting to verification and accountability. They examine the types of AI hallucinations editors actually flag, then apply a source-first verification method that compares AI-generated summaries against multiple primary documents. Learners practice flagging and correcting subtle meaning drift and use diffs to make their editorial judgment visible. By the end of the lesson, learners can defend verification decisions with evidence, not instinct, using workflows editors trust under scrutiny.