Sof developed the Egocentric Video Mapper documentation feature for the pupil-labs/pupil-docs repository, focusing on enabling researchers to map gaze data onto alternative egocentric video streams from third-party cameras. The work involved integrating AI-powered synchronization guidance and providing a detailed, step-by-step integration guide for Neon-enabled eye-tracking experiments. Using Markdown and Web Components, Sof enhanced the Alpha Lab documentation to support specialized camera setups and streamline experimental reproducibility. The technical writing demonstrated a clear understanding of both AI integration and practical workflow needs, resulting in comprehensive documentation that addresses the challenges of aligning gaze data with diverse video sources.