Developer Builds AI Tournament Judge for Tabletop Games to Eliminate Rules Disputes

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A developer has submitted TableTop Arbiter to the Sanity Challenge, an AI-powered tournament judge designed for competitive tabletop games such as Magic: The Gathering. The tool addresses a common problem in high-stakes play where rules disputes stall matches, and standard AI models give unreliable answers by confusing outdated rulebooks with current official errata. Unlike typical large language models, TableTop Arbiter grounds its responses in a structured content database using GROQ graph queries to resolve rule contradictions deterministically. The system streams its live reasoning process directly in the user interface, allowing players and judges to verify each decision in real time. The project is live on Vercel and its source code is publicly available on GitHub.

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