AI Content Operations Use Cases

A technical guide to giving merchandising control over Shopify category pages using Sanity, with code, architecture, and a starter you can clone.

A template that gets a retrieval-augmented chatbot running against your Sanity content in about the time it takes to fill in an env file. Built on the Vercel AI SDK RAG pattern, but the vector store, the retrieval layer, and the schema-awareness live in Sanity Context instead of a Postgres database you provision and maintain.

Serve every page as markdown from the same URL: content negotiation, .md routes, sitemap.md, and llms.txt, built in Next.js and Astro from one Sanity dataset.

A technical guide for connecting analytics signals to editorial workflows in Sanity Studio - covering the business case, architecture, and code your team needs to ship it.

AI content operations for events: an AI-screened CFP, an organizer agent, an attendee concierge, and venue signage, all working from a single source of truth

Before your audience ever clicks a link, AI search decides which sources get cited. This is a developer's guide to how that decision gets made, which of the popular tactics are real, and a set of checklists you can work through on your own stack.

Wrong answers from your chatbot are not a model problem. They are a content problem. Move the knowledge into one governed Sanity dataset, and here is how.

A step-by-step guide to building retail campaign orchestration on Sanity: content model, GROQ slot resolution, Content Releases, and visibility matrix. Automatic teardown.

Generate one email per audience segment from your Sanity campaign brief, brand voice, and segment documents. Open-source starter with Klaviyo dispatch.

Find stale pages, missing metadata, and terminology drift. Fix them in the same session. All changes staged as drafts.

Translate structured content field-by-field with Agent Actions. Preserve references, slugs, and schema integrity with human review.

AI shopping assistant that queries your catalog with real business constraints, not similarity scores. Validates inventory before recommending products.