Web Application for Management and Support of Tabletop RPG Sessions Using Artificial Intelligence

The objective of this bachelor’s thesis is to design and implement a minimum viable product (MVP) of the web application Sesplan, intended to support the management and organization of campaigns in the context of tabletop role-playing games (TTRPG). The application integrates artificial intelligence for the generation of game content (NPCs, locations, items) and emphasizes modern architectural principles—API-first design, the DRY philosophy, and zero-downtime deployment via a fully automated CI/CD pipeline, including the provisioning of a VPS server. The applied methodology combines a comparative analysis of existing digital tools, semi-structured interviews with active Game Masters and players, agile iterative-incremental prototyping, and functional testing conducted during a two-week alpha pilot with target users. The result is a fully functional MVP of Sesplan, deployed at https://sesplan.space, with publicly available source code, a fully documented REST API, a responsive single-page application frontend built in Vue 3, a module for AI-driven content generation powered by Google Gemini, and an end-to-end automated CI/CD pipeline. Experimental validation demonstrated a significant reduction in session preparation time and an increase in campaign management efficiency without compromising narrative quality.