This presentation shares practical lessons learned from designing and delivering an AI-enhanced library research workshop for students, faculty, and staff across disciplines. It examines how the GUIDE model emerged from instruction, organized around five strategies: (1) selecting appropriate AI tools, (2) using intentional prompting informed by the CLEAR framework, (3) investigating and refining research topics, (4) verifying information using SIFT, and (5) navigating citation practices. Aligned with the ACRL Framework for Information Literacy, the session highlights what worked, unexpected outcomes, and ongoing challenges from teaching AI in practice. Attendees will leave with adaptable approaches for supporting responsible AI use, academic integrity, and research instruction alongside traditional scholarly resources. #AIinResearch #InformationLiteracy #FacultyDevelopment
