Workflow building block
Schedule recurring AI work
Recurring work needs reliable timing and visible results, but not every scheduled run should be allowed to act externally on its own.
Step by step
Readable execution path
Set the frequency, timezone, input sources, Box, expected result, and conditions that should skip or stop a run.
Load only the current approved sources and variables needed for this occurrence.
Run the task and attach the result, request count, model usage, and errors to the visible work record.
Check failed, unusual, expensive, or externally consequential results before the next action.
Send or store the approved output, record the handoff, and leave the next run visible.
| Approval point | Review rule |
|---|---|
| Sending a report | The workflow pauses for this named decision instead of treating the step as automatic. |
| Writing to another system | The workflow pauses for this named decision instead of treating the step as automatic. |
| Increasing schedule frequency or spend | The workflow pauses for this named decision instead of treating the step as automatic. |
| Changing the task instructions | The workflow pauses for this named decision instead of treating the step as automatic. |
Handoff output
What the next person receives
A run record with schedule, result, evidence, errors, model usage, approval state, destination, and next occurrence.
FAQ
What is Schedule recurring AI work?
Recurring work needs reliable timing and visible results, but not every scheduled run should be allowed to act externally on its own.
What starts this workflow?
A defined task, schedule, approved context, owner, expected output, Box, model path, and rules for notifications or external actions.
Where do you approve?
Sending a report; Writing to another system; Increasing schedule frequency or spend; Changing the task instructions
What does the handoff include?
A run record with schedule, result, evidence, errors, model usage, approval state, destination, and next occurrence.