Feedback is essential for language acquisition and writing development, helping students assess performance, identify weaknesses, and refine their skills (Papi et al., 2024; Hyland, 2019). This has led to a push for self-assessment (Lee, 2016), and recognition of the necessity of timely feedback (Fu & Li, 2022). Providing only personalized, self-sought feedback can be challenging for teachers—a challenge that Generative AI can help address. This interactive workshop explores how to integrate AI-driven feedback into L2 writing classes by guiding students in developing effective feedback-seeking behaviors. While AI tools provide accessible feedback, students need support in asking effective questions, evaluating AI responses, and refining their writing based on relevant feedback. Participants will experience activities designed to establish expectations about AI’s role as a feedback companion and examine how students interact with AI versus peers and instructors. The discussion will also explore how this approach can be adapted to different learning contexts. Through discussion and suggested instructional materials, this session highlights the importance of teaching students how to be feedback-seekers in the era of Generative AI. Participants will leave with concrete strategies for helping students engage with AI feedback effectively and become more independent writers.