Google researchers introduce a multi-agent AI framework that autonomously generates long-form coherent video narratives by treating the process as a global optimization problem, addressing issues like character drift and cascading failures in current linear pipelines. The unified framework, built on Gemini and Veo models, uses hierarchical planning and world-state tracking to maintain visual consistency across multi-shot videos while abstracting away technical burdens from creators.