May 2026 Summaries

The tutorial explores the creation of a board game recommendation agent using Sanity's Context feature and GPT-4o, providing a step-by-step guide to building an AI-driven system that queries board game data from the BoardGameGeek API and returns recommendations based on specified criteria. It details the setup of a Sanity project, the creation of a board game schema, and the configuration of the system to parse and ingest data using GROQ queries. The tutorial emphasizes the importance of a structured approach to building the agent, which operates without a frontend interface and can be adapted for various datasets. It also highlights the significance of precise data structuring to enhance the agent's functionality, demonstrating how the agent processes and responds to queries with real-time data from the Content Lake.

This comprehensive guide outlines how to enhance a prototype by integrating a content backend using Sanity and Claude Code, an AI coding tool by Anthropic. The process involves setting up Claude Code for Sanity projects, composing a project brief, and installing necessary tools and skills to scaffold a project, including a Sanity Studio for content management and a Next.js frontend for display. The guide emphasizes the importance of making prototypes accessible to non-developer collaborators, allowing them to edit and contribute content directly. By doing so, it transforms an otherwise static prototype into a dynamic, collaborative tool that can evolve based on real user feedback. The step-by-step instructions cater to users without a developer background, encouraging them to engage with agentic engineering through trial and error. The guide also provides practical advice on handling common issues, deploying the Studio and frontend, and demonstrating the CMS-backed prototype to stakeholders effectively, ensuring they see the potential for future growth and collaboration.

A Sanity guide explains how non-developers can turn a hardcoded AI-generated prototype into a collaborative, CMS-backed application using Claude Code for agentic development and Sanity for structured content management. It walks users through installing prerequisites, creating a project brief in a CLAUDE.md file, connecting Claude Code to Sanity through an MCP server, adding Sanity and frontend-design skills, and prompting Claude to scaffold a Sanity Studio and Next.js frontend for a product catalog. The resulting setup gives editors a hosted interface to create and publish categories, products, images, and descriptions, while the frontend retrieves and displays that content with category filtering and detail pages. The guide emphasizes describing editorial workflows rather than technical requirements, reviewing and approving AI actions, using real content for stakeholder demos, and iterating through natural-language requests instead of manually coding. It also covers Studio and frontend deployment, collaboration access, common troubleshooting steps, and estimated costs, reporting a sample project took about an hour and $3.52 in API usage.

The text provides updates on several product features and community contributions. The User Attributes update simplifies access control by allowing administrators to attach contextual identity data to user profiles, which are then referenced in role filters, streamlining the management of roles and permissions. Scheduled Functions enable recurring automation tasks like data syncs and cache invalidation without external dependencies, integrating seamlessly with existing CI/CD pipelines. Canvas field labels utilize AI to structure content effectively, allowing content teams to automate the process from drafting to publishing. The text also highlights insights from creators like Bjorn Staal, who uses AI in art, and Olympic cyclist Kristen Faulkner, who develops AI tools for athletic performance research. Additionally, community member Dick de Leeuw contributes a visual merchandising plugin for Sanity Studio, enhancing content management capabilities for fashion brands.