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AI agent use cases

An agent becomes more useful when its work survives the chat. These examples turn common jobs into persistent, searchable datasets without asking you to design the backend from scratch. Each guide includes a starter schema, stable index, agent jobs, and the Rowset features that matter.

Start here when you know the job but do not want to design a dataset from scratch.

Choose a workflow

How to choose

Use a use-case page when you need a concrete dataset shape. Use Create datasets when you already know the shape. Use Design dataset schema when the main question is column types, status rules, references, or instructions.

What reliable agent workflows have in common

  • a stable index column
  • small, clear headers
  • dataset instructions that explain workflow rules
  • semantic column types for dates, URLs, emails, choices, money, images, audio, or references
  • optional project grouping when several datasets belong together
  • optional public preview only when a human needs read-only access