Developer Builds AI Agent That Detects Contradictions in Structured Content Using Sanity

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A developer has built an AI agent called Nebula Agent as part of the Sanity Challenge, designed to query structured content and identify conflicting information across sources. The agent uses GROQ queries against a Sanity Content Lake in real time, rather than relying on simple keyword searches. Built around a fictional board game called Nebula, the agent demonstrated its capability by flagging a contradiction between the game's core rulebook and an official errata document over differing starting token counts. When two sources disagree, the agent presents both claims side by side along with their respective source URLs. The project runs as a command-line tool built on Node.js, using Google's Gemini model and Sanity's GROQ query language for content retrieval.

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