Sima 1.0: A Collaborative Multi-Agent Framework for Documentary Video Production
This addresses the challenge of content creation for video-sharing platforms, though it appears incremental as it builds on existing multi-agent and automation concepts.
The paper tackles the problem of manual labor in long-form documentary video production by introducing Sima 1.0, a multi-agent system that optimizes the production pipeline, resulting in reduced workload and enabling a single creator to maintain a weekly publishing schedule.
Content creation for major video-sharing platforms demands significant manual labor, particularly for long-form documentary videos spanning one to two hours. In this work, we introduce Sima 1.0, a multi-agent system designed to optimize the weekly production pipeline for high-quality video generation. The framework partitions the production process into an 11-step pipeline distributed across a hybrid workforce. While foundational creative tasks and physical recording are executed by a human operator, time-intensive editing, caption refinement, and supplementary asset integration are delegated to specialized junior and senior-level AI agents. By systematizing tasks from script annotation to final asset exportation, Sima 1.0 significantly reduces the production workload, empowering a single creator to efficiently sustain a rigorous weekly publishing schedule.