A Board Game Agent Built Using Sanity Context and Vercel's AI SDK
A new board game agent has been developed using Sanity Context and Vercel's AI SDK. This agent provides game recommendations based on user queries, utilizing real-time data from BoardGameGeek's API. The tutorial outlines the steps to create a Sanity project and configure the agent for personalized game suggestions.
- ▪The agent can recommend board games based on specific user interests and queries.
- ▪It utilizes Sanity's GROQ query language to fetch data from the Content Lake.
- ▪The project requires a Sanity account, Node.js, and an API token from BoardGameGeek.
Opening excerpt (first ~120 words) tap to expand
BlogA Board Game agent built using Sanity Context and Vercel's AI SDKAn OpenAI Agent, a board game API, and Sanity Context walk into a bar… the result: a CLI agent that returns exact game recs with real-time data using queriesJarod ReyesHead of Developer Experience & Community at SanityPublished May 26, 2026Table of ContentsTable of ContentsWhat we’re actually buildingThe recipePrerequisitesCreate a Sanity projectDefine the board game schemaPull board game data into Content LakeInstall Sanity Context Sanity ContextCreate the Context documentConnect the agentThis pattern works for your data tooWhat’s happening under the hood×I love board games. They are a very good excuse to entice my kids away from their books and spend some time with the parents.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Sanity.io.
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