Monitor a Baserow database, create a filtered calendar view for each relevant record, generate an ICS feed, and update and notify stakeholders when views are ready.
This AI agent automates the end-to-end creation of personalized Baserow calendar views using a chosen Date field and a Link-to-table field. It creates a view for each target record, applies the necessary filters, and decorates entries for quick recognition. It publishes an ICS feed for external calendars and updates the source records with the view and ICS URL for straightforward sharing with Outlook, Google Calendar, or other apps.
One supporting sentence with short explanation.
Set Baserow credentials and API host
Create a new calendar view for each target record
Apply filters based on the Link-to-table field and date field
Configure decorations such as color rules
Share the view by enabling ICS export
Update source records with the view URL and ICS URL
This AI agent targets concrete calendar workflows that are hard to scale manually. It addresses real pain points in maintaining per-record calendars and makes calendar data reliably shareable.
One supporting sentence with short explanation.
Enter Baserow credentials and API host, then generate a JWT to authorize all subsequent API calls.
Create a new calendar view for each target table/record, apply a filter that matches the linked records, and set the date field.
Enable public ICS sharing on the view, apply decorations, and update all source records with the view URL and ICS URL.
One supporting sentence with short explanation.
Scenario: A project admin maintains a Baserow base with a Tasks table that includes a Date field named Deadline and a Link-to-table field referencing Staff. Task: Generate a filtered calendar view per staff member showing deadlines for the current month, export an ICS feed, and share the ICS link with each staff member. Time: approximately 20–30 minutes to configure and run. Outcome: Each staff member receives a personalized ICS link that can be imported into their Outlook or Google Calendar, and the admin's base is updated with the view and ICS URLs.
One supporting sentence.
Needs per-member deadlines calendar to coordinate milestones and dependencies.
Wants centralized schedules to plan capacity and resource allocation.
Manages onboarding tasks and due dates across teams.
Tracks client meetings and renewal dates per client.
Handles API credentials and hosting security for the calendar automation.
Needs delivery dates per supplier and synchronized calendars for ordering.
One supporting sentence with short explanation.
Creates and configures calendar views, applies filters and decorations, then enables ICS exposure and updates view records.
Provides an ICS feed that can be imported into Outlook, Google Calendar, and other calendar apps.
One supporting sentence with short explanation.
One supporting sentence with short explanation.
You need a Baserow table with at least one Date type field (for the calendar) and a Link to table field (to reference related records). The AI agent uses these fields to generate a per-record calendar view and filter the results. You can adjust which fields are shown in the calendar view via API field options. Authentication is handled through a JWT built from your Baserow credentials. Ensure your data structure remains stable to avoid broken links in the views.
Yes. The AI agent updates the calendar view to enable public ICS export, creating a shareable ICS URL that can be imported into Outlook, Google Calendar, and other apps. Access can be controlled by the calendar provider’s sharing settings. The ICS feed stays synchronized with the underlying Baserow data as long as the view is kept active. Be mindful of exposing sensitive data via calendar feeds and configure filters accordingly.
The flow can be triggered manually or via a webhook. When triggered, it authenticates, builds the views, applies filters, publishes the ICS feed, and updates the source records in a single run. You can schedule recurring runs to keep calendars up to date, depending on your data refresh needs. Each run is isolated to avoid cross-contamination between calendars.
Yes. Filters are configured during the view creation step and can reference the Link-to-table field and the selected Date field. You can tailor predicates (e.g., date ranges, specific linked records) to match your workflow. Updated filters apply to all affected views in the current run. This provides targeted calendars for departments, teams, or individual users.
Authentication uses a JWT token generated from your Baserow credentials to authorize API calls. Tokens are used only by the AI agent during the lifecycle of the run and are not exposed in shared outputs. You should follow best practices for credential storage and rotate credentials periodically. If you host the system yourself, restrict access to the JWT generation endpoint and monitor usage.
Yes. The date field used for the calendar can be changed to reflect deadlines, appointments, or other date-driven data. Changing the date field will alter how events appear in the generated calendars, so you should validate mappings after changes. The AI agent supports re-running to produce updated views with the new date field.
If errors occur, the AI agent surfaces a log of API responses and failure points. It guides you to verify credentials, host URL, and table/field IDs. Common issues include invalid field types, missing link references, or JWT expiration. You can re-run the flow after correcting the underlying data or configuration and the agent will recreate affected views and shares accordingly.
Monitor a Baserow database, create a filtered calendar view for each relevant record, generate an ICS feed, and update and notify stakeholders when views are ready.
