Search and manage it in plain English

The same list, operated through conversation. The agent reads what you want, calls the right tool, and tells you what it did.

Ask it to find things

A real one — the request, the tool Claude chose, the live result, and the answer it gave:

The request became a real search — a query of running shoe with a filter of price lt 150, the same call you'd write by hand — answered from the actual results.

Ask it to change things

With a write-capable key it can edit, tidy and reorganise:

You: The Trail Runner 2 is discontinued — remove it. And bump every Vireo price by 10%.

Agent: Removed the Trail Runner 2, and updated the four remaining Vireo items with a 10% increase. Want the new prices?

Each of those is an ordinary operation — a delete, a set of edits — run through the same tools you could call yourself. Moving records between lists (“promote the best sellers into a featured list”) is the search-insert-then-delete dance from the movie lesson, done end to end from one sentence.

There is no special “AI mode”: the agent has the same read and write tools your own code would use over the API, so anything it does you can reproduce in code when you need it in a pipeline.

Go deeper: Searching, filtering and the operations behind the answers in the reference.