How to review, export, and delete data from an AI account

The short answer

Readers get a careful sequence for exporting needed records, disconnecting integrations, revoking keys, deleting content, and verifying what remains.

The decision standard is simple: preserve the source, state the limits, and make the next human check obvious. A useful article should reduce uncertainty without pretending that every unknown has been resolved.

What to examine

Account cleanup starts with an inventory: chats, uploaded files, custom assistants, connected apps, shared links, memories, projects, API keys, and business workspaces can have different controls.

Start with scope. Identify the product, account, audience, jurisdiction, data, and decision involved. Then separate what was directly observed from what a vendor, researcher, regulator, or commentator says. Record dates because AI products, access rules, and prices change quickly.

Deletion can be irreversible and retention exceptions may apply. Read the current product documentation and preserve required business or legal records.

A practical way to do it

List data surfaces and connected services before changing anything.
Export required records and verify the archive opens.
Revoke access, delete scoped items, and confirm account status separately.

Keep the worksheet or test record with the draft. If another editor cannot reproduce the check from the saved evidence, the article is not ready.

Editorial guardrail

Do not fill a missing fact with a plausible sentence. Mark it as unknown, find a stronger source, narrow the claim, or remove it. Commentary belongs in a clearly labeled paragraph after the reported facts, not inside them.

Primary-source reading list

These are starting points, not automatic support for every sentence. The publishing editor must open each cited page and confirm the claim it supports on the day of review.

Bottom line