Open an AI service's data controls before using it for sensitive work and turn off model-improvement use if that is your intent. Then check retention, connected apps and whether a temporary mode meets the task. A training opt-out is not the same as instant deletion or secrecy.
Separate four questions
- Will the conversation appear in history?
- Can it improve models?
- How long is it retained?
- Can connected tools receive it?
OpenAI says signed-in users can turn off Improve the model for everyone while keeping history. Temporary Chats are not used for training, do not create memories and are deleted after 30 days, although they may be reviewed for abuse. Google says Gemini's Keep Activity, temporary chats, connected apps and human-review retention have distinct rules.
Use the least sensitive input
Remove names, account numbers, private links, health identifiers and secrets. Summarize the problem instead of pasting a complete inbox when extra context will not change the answer.
Work accounts differ
Business, enterprise, education and API products can have different terms from consumer chat. Confirm the actual workspace and plan. Do not assume a corporate promise applies to a personal account with the same brand.
A pre-paste routine
- Confirm the account.
- Open data controls.
- Disable training if desired.
- Disconnect unnecessary tools.
- Redact input.
- Delete afterward if retention is unnecessary.
The strongest privacy control remains not sending data the task does not require. Product toggles matter, but minimization survives every provider and policy change.
History, memory and training are separate switches
Turning off model improvement does not necessarily remove a conversation from visible history, erase a saved memory or disconnect an integration. Review each surface separately. If a service has personalization memory, inspect what it retained and remove facts that should not persist across chats. A temporary conversation is useful only when the feature-specific documentation says what temporary means.
Plan for shared and copied output
Deleting your own chat cannot recall text already copied into a document, shared link or connected service. Before creating a public link, scan the entire thread for earlier messages and uploaded names. If the tool allows collaborators, confirm who has access and whether they can duplicate the material.
Use a low-risk test first
When evaluating a new AI service, begin with invented or public information. Test export, deletion and connected-app controls before trusting them with real work. A settings page is easier to understand after you have followed one harmless item through its complete lifecycle.
Sources & methodology2 sources - evidence for this revision
The records below show what each source supports in this published revision.
- Data Controls FAQOpenAI Help Centerreference - Retrieved Jul 12, 2026
What it supportsChatGPT users can turn off model-improvement use while retaining history.
- Gemini Apps Privacy HubGoogle Gemini Apps Helpreference - Retrieved Jul 12, 2026
What it supportsGemini distinguishes activity, retention, connected apps and human review.



