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.
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| Original publisher | Sanity.io |
| Canonical URL | https://www.sanity.io/blog/context-board-game-agent |
| Publication time | Tue, 26 May 2026 17:00:33 +0000 |
| Retrieval time | 2026-05-26T17:07:50.079Z |
| Last seen | 2026-05-26T17:07:50.079Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | mKAfK6wEzZ9t |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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.