- Smart mode — describe what you want in natural language and an LLM translates it into the appropriate API query.
- Query mode — provide a structured filter object with explicit fields. No LLM involved; you get deterministic, repeatable results.
In smart mode, results are interpreted by an LLM, not exact matches. Be specific in your guidance for best results. Query mode gives you full control when you need precision.
Smart mode
Smart mode is the fastest way to get started. Provide a name and aguidance string describing what you want:
Good guidance examples
Query mode
Query mode lets you define views with structured filters — specific fields per integration, no LLM interpretation. This is useful when you know exactly what you want, or when you’re building automation that needs deterministic results. In the dashboard, toggle the mode selector from Smart to Query, then fill in the filter fields for your integration. Via the SDK:filter object instead of guidance, the view is automatically created in query mode.
Per-integration filters
Each integration supports a different set of filter fields. All fields are optional unless noted otherwise.GitHub
Gmail
Slack
Linear
Google Drive
Notion
PostHog
Web
Content types
GitHub views support acontent_type field that controls the output format of each file:
For example, a view with
content_type: "diff" on a PR repository produces files like 42_Add_login_endpoint_diff.md containing the unified diff, ready for code review.
Syncing
Source views are materialized — Airstore executes the query once and caches the results so reads are fast. To pick up new data from the source, you sync the view. From the dashboard: Click the Sync button in the toolbar when viewing a source view. From the SDK:When to sync
- After you know the source data has changed (e.g., new PRs were opened)
- On a schedule in your backend automation
- Before a critical read where freshness matters
File structure
Each source view maps to a directory under/sources/<integration>/:
open-prs).
Output formats
The
file format is useful when you want a single document — for example, a sprint summary or a combined report. You can also specify a fileExt (e.g., .md) to control the output extension.
Next steps
Mounting
Mount Airstore and access your source views as local files.
TypeScript SDK
Create and manage source views programmatically.