Webtoon improves the story of story with Langgraph -based AI Workflor

The webtoon entertainment, famous for its innovative approach to digital storytelling, has made a big leap forward by integrating the Langgraph -based AI Workflow to improve the story understanding. This development aims to support various internal teams, such as marketing, translation and recommendations, to better handle the vast content libraries managed by the company.

Webtoon understanding AI scales to understand stories

The introduction of WCAI (Webtoon Comprehension AI) is a pivotal moment of the company. The WCAI, which built an agent workflow through Langgraph, allows the AI ​​agent to understand the context of characters, stories and webtoons in size. This system can now operate in several departments to replace manual episodes with sophisticated natural language queries that provide immediate insights and summaries.

WCAI continues to expand Webtoon’s global influence by automating deep story understanding, allowing the team to focus on creativity and strategic plans.

Technology Foundation: The role of Langgraph

The architecture of the WCAI utilizes the Vision-Language Models (VLM) combined with the workflow-based AI agent promoted by Langgraph. This hybrid setting was selected after strict evaluation of multiple frameworks, and Langgraph appeared as an optimal choice due to modularity and precision. You can integrate the knowledge of each domain in a variety of workflows, such as visual understanding and story summary.

Integration with Langsmith in Langgraph provides powerful tracking and debugging functions essential to expanding development and distribution processes.

Core Agent Workflow

WCAI consists of a special agent workflow designed to manage certain aspects of Webtoon understanding. This includes:

• Character identification: Analyze the visual and text data to extract the character profile.
• Speaker identification: Using VLMS and Computer Vision Technology, speaking balloons are made by characters.
• Narrative extraction: In the visual scene, the core plot points and emotional beats are captured.
• Course Expert (SME) Application: Create an important insight into a quantitative KPI and output, such as the CTR (Click-Strough Rate).

Such workflows convert un structured stories into executable data to simplify the process and improve productivity.

Why Langgraph is chosen

After a wide range of production tests, Langgraph has been selected as the ability to provide controllable workflows, which is important for scenarios related to collaboration with SMEs. Architectures allow transparency and reliability, which is essential for internal work. In addition, the integration with the distribution function that can be prepared for the production of Langgraph and the integration with LANGSMITH for data creation and problem identification was a decisive factor.

conclusion

The integration of agent AI Workflow through the Langgraph of Webtoon Entertainment has seriously improved internal operation. The automation of the story understanding process not only increased productivity, but also allowed the content team to focus on more strategic and creative work. WCAI’s continuous development, including the evaluation of workflow and the improvement of human agent interaction, promises to further strengthen Webtoon’s leadership in understanding extended stories.

Webtoon continues to explore new features and improvements to see if the use of AI remains at the forefront of innovation of digital storytelling.

For more information, visit the Langchain blog.

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