Working with Professor Lipman, I designed and implemented Isabelle Curve, a conversational AI system that supports students learning biostatistics by walking them through statistical concepts and empirical research article assessments. I built a FastAPI backend that processes PDFs, evaluates article validity, and generates multi-step feedback cycles using OpenAI models. I also developed a frontend interface where students can upload articles, respond to AI-generated prompts, and receive reflection and clarification feedback meant to strengthen statistical communication skills. The project integrates principles from teaching and learning by encouraging iterative reasoning, promoting clarity of explanation, and grounding responses in course materials. Overall, the system aims to serve as an accessible study tool that supplements traditional instruction and gives students structured practice analyzing real research.