How to use AI without giving away too much personal info?
Start with the smallest piece of information needed for the task. Decide separately whether it may be read, sent to a cloud service, kept as memory or shared with someone else. These permissions can have different consequences even when they appear in one conversation.
Identify what the assistant needs to do before attaching a full archive. A single relevant paragraph may be enough to revise a message; an entire inbox adds unrelated people and context. Remove information that is not necessary. Keep an original copy outside the working draft so that a shortened excerpt is not later mistaken for the full source.
Reading a file locally, sending an excerpt for cloud processing and storing an extracted memory are separate operations. Inspect what the current product says it will do at each point. Permission to choose a file should not silently become permission to watch its directory indefinitely. A local-looking interface also does not establish that all processing stays on the device.
A private source can end up inside a public artifact even when the source itself is never shared as a file. Review generated text, screenshots and embedded metadata before publishing. Distinguish a personal conversation, a team project and a public post. If an audience setting is unclear, resolve it before sending instead of assuming a label applies to every derived output.
A conversation, an extracted memory and an uploaded file can be separate records. Ask what the delete or incognito control actually affects. Inspect the relevant memory when the product provides a management view, and check a later conversation after correcting or removing it. Avoid interpreting “not saved to memory” as a promise about every service log or provider retention policy.
A source useful for one draft may not be needed for the next project. Review persistent access and remove what is no longer required. Check what revocation stops immediately and what happens to earlier outputs or indexes. Where the product cannot demonstrate the boundary you need, use less sensitive material or a process whose handling you can verify.
OneOneTalk separates selecting a source, allowing it to be read, uploading content, confirming a memory and sharing an output. Use only the material needed for the current task. Supported local import flows work on selected, authorized sources; they are not permission to scan every local app.
A scope label is not by itself proof of enforced isolation. Verify the actual source, audience and revocation controls in the path you use. Incognito conversation and long-term memory management do not promise zero retention across all service providers.
More on the product in the English overview.
The public primary material this page is built on. We do not restate their conclusions as our own evidence — they are listed so you can check for yourself.