Developed a multi-agent framework for content creation, integrating research, generation, review, and publication. Currently extending into multi-modal applications (projects, short videos, anime series).
This innovative multi-agent system orchestrates specialized AI agents to collaborate on complex creative projects, mimicking human team workflows with distinct roles and responsibilities.
The framework coordinates agents across research, content generation, quality review, and publication phases, with each agent optimized for its specific function while maintaining context awareness across the process.
Originally developed for text content, the system has been extended to handle multi-modal projects including video scripts, visual storyboarding, and even anime episode production planning.
Implemented a shared knowledge graph that maintains relationships between concepts, allowing agents to access and update a consistent understanding of the project.
Developed a dynamic workflow engine that adapts process steps based on content requirements and agent feedback, rather than following rigid templates.
Created a 'director' agent that oversees the creative process and ensures all outputs align with the original creative brief and stylistic guidelines.
"The multi-agent system has transformed our content production pipeline. What previously took a team of 12 people two weeks can now be accomplished in two days with higher consistency."
Jason Kim
Creative Director, Digital Content Studios
