Policy analysis — a central function that supports governmental decision-making — centres on the synthesizing of a range of information sources into concise documents with actionable recommendations commonly called briefing notes. Briefing note writing is a crucial skill for public servants, and a central skill to teach students of public administration. In this presentation, Justin will demonstrate a new approach to teaching briefing note writing in a graduate-level public administration course. The learning activity to be discussed leverages generative artificial intelligence (GenAI) as an initial drafting tool. Students begin by prompting the GenAI tool of their choice to produce a preliminary draft briefing note. This draft is then copy/pasted to a Word document with track-changes enabled where the student is tasked with engaging in a critical evaluation of the GenAI draft, deleting and adding content, contextualizing in the specific political jurisdiction, fact-checking and updating, and editing the language, tone, and format of the draft. The submission also includes all prompts used in producing the original GenAI version and in subsequent prompting, in ideation, in searching for additional information, in checking the information provided, and in improving the language. The evaluation of student performance then centres on the value added to the original GenAI version. A rubric for evaluating this approach to briefing note writing will also be discussed, as well as experience to date in using this approach.