Cortex is a digital discipline and productivity engine designed to help students and young professionals stay focused, reduce digital distraction, organize their learning, and build long-term habits. It integrates AI-powered planning, journaling, automated opportunity discovery, and a task-to-XP system that supports real-life behavior change.
During the Fellowship, Cortex grew from a conceptual idea into a functioning early-stage product with clear direction, institutional support, and meaningful validation. I built the core backbone of the system, including the discipline engine, task system, journaling structure, XP tracking logic, and the AI-assisted features. These were implemented within a full-stack environment using Next.js, Convex, Clerk, and a custom-designed interface.
User testing throughout the semester revealed patterns of digital distraction, inconsistent habits, and overwhelming mental load among students. These insights shaped nearly every iteration of the system. The project was also presented to the DKU Innovation & Entrepreneurship team, receiving substantial feedback that directly influenced the next iterations. I later pitched Cortex to the DaChuang funding program, where it was approved and received financial support.
A significant part of the progress also involved shaping the theoretical foundations of the project. Through ongoing discussions with Behavioral Science professors, I integrated psychological models of habit formation, reinforcement, and environmental design into the app. This gave Cortex a clearer scientific basis and strengthened its long-term direction.