AI-Driven Editorial Automation: Enhancing Sports Journalism with LLMs and Autonomous Agents

AI-Driven Editorial Automation: Enhancing Sports Journalism with LLMs and Autonomous Agents. The digital sports media industry relies on fast, high-quality content creation. This thesis explores how Large Language Models (LLMs) and AI Agents can automate and enhance editorial workflows through FORGE Scribe, an intelligent system integrated into Deltatre’s proprietary CMS (FORGE). The research will begin with assisted article tagging, leveraging natural language processing and semantic similarity to improve editors’ efficiency, consistency, and content searchability. It will then explore the transformation of Scribe from a basic LLM-powered textual analysis tool into an autonomous AI-driven system, integrating multi-agent coordination and real-time adaptability to enable proactive content generation and editorial collaboration. This transition aims to improve data-to-text generation, automated translation, and AI-assisted content refinement.