Running & Control
2. Running & Control
Execution & control โ Manual vs batch runs, tracking, error recovery.
Error handling โ Schema detection, invalid uploads, error messages.
Execution & Control
Execution defines how AI Skills run in a Sheet and how users control that process.
Manual run
Users can run AI Skills on a single row or a selection of rows at any time.
Batch run
Users can execute AI Skills across all rows in a Sheet. Progress is tracked row by row until completion.
Flexible control
Runs apply either to one row or to the entire Sheet; partial runs are not supported beyond selecting rows manually.
Live progress
While running, a progress indicator shows which rows have completed, failed, or are still processing.
Stop & resume
Users may stop a batch run mid-way. Already completed rows remain, while unprocessed rows can be re-run later.
Editing during run
Columns and rows cannot be edited while a batch run is active. Edits can resume once the run is finished or stopped.
Error rows
Failed rows show an error icon. Errors can be retried individually or after fixing schema/connection issues.
Error Handling
AI Sheets provide clear signals when uploads, schema detection, or AI Skill runs fail.
Invalid CSV schema
Upload fails if the file is not in CSV format or exceeds supported size/row count.
Reformat the file as CSV, reduce its size, or split into multiple uploads.
Mismatched fields
Columns that cannot be mapped default to Text type.
Manually update the column type after creation.
Row execution error
Failed rows display an error icon in the AI Skill column.
Double-click the icon to view the error. Retry the row after fixing the issue.
Connection missing
AI Skill fails if it requires an integration that isnโt connected.
Connect the required integration in Settings โ Integrations.
Permission denied
Action blocked if the user does not have edit/run permissions.
Request elevated access or have an admin re-run the skill.
Timeout or partial run
Long-running batch runs may timeout. Completed rows remain; pending rows fail.
Re-run failed rows individually or restart the batch run.
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