Sima 1.0: A Collaborative Multi-Agent Framework for Documentary Video Production

TL;DR

Sima 1.0 is a multi-agent system that automates and streamlines the documentary video production process, reducing manual effort and enabling weekly content creation.

Contribution

It introduces a novel multi-agent framework that automates key production tasks, combining human input with AI agents for efficient documentary video creation.

Findings

Reduces manual workload in documentary video production

Enables a single creator to produce weekly high-quality videos

Automates tasks from script annotation to asset exportation

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.