Abstract
An agentic artificial intelligence system for multimodal event analytics and narrative generation includes a multi-layer computational framework configured to autonomously acquire, transform, integrate, and produce event-related analytics. The system includes an event parameterization interface configured to receive user-defined parameters, a specialized orchestration engine configured to coordinate workflow and trigger parallel data processing streams, and a context formulation layer comprising a semantic data synthesis module, a public data extraction module, and a function calling module. The system includes a knowledge integration layer comprising a domain style and context adaptation module, a conflict resolution module configured to utilize a hierarchical dependency graph and vector-based friction analysis, and a specialized intelligence engine. The system includes a user interface layer configured to deliver draft multi-modal narratives and a draft data pack, and a hybrid quality assurance layer configured to perform hallucination prevention.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Wang, Huanhuan; Au, Jun Hui; and Chan, Sherelyn Wan Quan, "AGENTIC AI SYSTEM FOR MULTIMODAL EVENT ANALYTICS AND NARRATIVE GENERATION", Technical Disclosure Commons, (July 28, 2026)
https://www.tdcommons.org/dpubs_series/11153