Sima 1.0: A Collaborative Multi-Agent Framework for Documentary Video Production
2026-04-09 • Multiagent Systems
Multiagent Systems
AI summaryⓘ
The authors developed Sima 1.0, a system that helps make long videos more easily by splitting the work into 11 steps. Humans handle the creative parts and filming, while different AI agents do time-consuming tasks like editing and adding captions. This setup reduces the workload and helps one person publish videos more often. The system organizes everything from writing notes to finishing the video.
multi-agent systemvideo production pipelinelong-form videoAI editingcaption refinementcontent creationautomationhybrid workforcescript annotationasset integration
Authors
Zhao Song
Abstract
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.