As generative AI tools become ubiquitous in higher education, instructors across disciplines are grappling with a core challenge:  How do we authentically capture student learning when an AI can generate a polished essay, summary, or response to prompts in seconds? While detector tools often prove unreliable or punitive, pedagogical redesign offers a far more sustainable solution. Rather than focusing solely on detecting AI usage at the point of submission, AI-resilient course design focuses on making the learning process visible, collaborative, and reflective. FeedbackFruits offers a suite of learning tools integrated directly into Canvas that helps shift the focus from final product to active engagement. Read on to learn how you can use FeedbackFruits to build assignments that foster genuine student learning in the age of AI. What Makes a Learning Activity "AI-Resilient"? AI-resilient learning activities tend to share three core characteristics: Assignments that focus...