Quick answer
An AI schema generator turns a plain-English description into a structured schema you can review before you ship. Use the Data Schema Blueprint Generator for application records, fields, and relationships. Use a Schema.org leaf when you need page markup for search. Taskade keeps both results editable.
Which schema do you need?
Application data schema. You are designing records your team will store, assign, and automate: customers, orders, tickets, inspections. Start with the AI Data Schema Blueprint Generator. Use the Custom Schema Builder when you already know the fields and want a tighter model. The output should list entities, field types, relationships, and validation rules you can keep in a Taskade project.
Web structured data. You are marking up a public page so search engines can read the type, not building a product database. Use a Schema.org leaf such as Article Schema, FAQ Schema, or Product Schema. Check the result against Schema.org and Google's structured-data intro before you publish.
Do not treat those two jobs as the same page. An application schema becomes the memory your agents and automations use. A JSON-LD type describes a page for search. Pick the leaf that matches the job, then build the app that uses the schema.
