The NeuroContent Logs screen provides visibility into recent system activity, including trigger executions, API calls, and any errors that may have occurred. Logs are useful for debugging and monitoring automated AI content generation.

Available actions:

• Search Logs – filter log entries by keyword (e.g. trigger ID, type, or message).
• 20 – adjust how many log entries are displayed per page.
• Reset – clear current filters and reload the default view.

Each log entry is displayed in a table with the following columns:

• Date – when the log entry was recorded.
• Trigger ID – the identifier of the trigger associated with the log (if applicable).
• Type – the category of the log entry (e.g. info, warning, error).
• Result – the output or message describing the event.

This section allows administrators to quickly identify issues, confirm that triggers are running as expected, and maintain system reliability.