This presentation introduces an AI-powered platform, currently in development, that transforms students from passive consumers to active creators of reading material. Learners generate personalized stories with AI assistance, creating a dynamic library of student-led content that can be shared within the learning community. The system incorporates adaptive difficulty scaling to align texts with proficiency levels while maintaining coherence. Real-time tracking of student interactions offers insights into engagement and language challenges, with the potential to reveal patterns in content generation, learning trajectories, and attitudes toward reading. Features such as vocabulary support, AI-generated audio narration, and optional comprehension activities may further enhance autonomous learning. We will focus on how AI-driven analysis of student feedback informs refinements to both the system and pedagogical approaches in general. This presentation will showcase how the integration of AI technology can create an engaging, personalized, and data-informed learning environment while maintaining the core principles of extensive reading.