Use intelligence because it helps you understand your history, not because someone wants to monetize your attention.
An archive can benefit from semantic search, entity context, and model-assisted intelligence without becoming another engagement feed. AtArchive is a private archive first, with Search and Intelligence as optional layers over the records you choose to preserve.
Use model-assisted search and intelligence to interpret imperfect queries and organize archive context while keeping the underlying source records available for verification.
What AI should do in an archive
Use models to reduce retrieval and interpretation work, not to invent history.
Interpret imperfect queries
Help translate ordinary-language memory fragments into useful archive search constraints.
Organize people and relationships
Support bounded entity and relationship understanding grounded in preserved records.
Create optional intelligence
Use measured facts and source context for reports or interpretations without making them mandatory for preservation.
The archive remains the foundation
AI features sit above preserved source records rather than replacing them.
- Search returns users toward messages, files, people, organizations, and other source context.
- Insights distinguish measured facts from higher-level interpretation.
- Narrative and relationship views stay grounded in the records supplied to the feature.
Privacy claims must be exact
Privacy depends on the feature and provider path. Trust & Security explains how model-assisted features handle data and which controls apply.
- Model use is feature-specific rather than a requirement for ordinary archive preservation.
- Source records remain available underneath model-assisted interpretation.
- Use optional intelligence when it helps your question; the archive remains useful without it.