Choose local or web execution deliberately
Local scheduled tasks can work in the project directory or a Git worktree. The computer and app must remain available. Web tasks use accessible uploads and connected tools rather than a local folder. Choose the environment according to actual data access. A schedule alone does not move a local task into an always-available cloud service.
Give every run a reviewable assignment
A useful starting point is a recurring report on test failures in a selected project. Specify the source, expected report and behaviour when data is missing. Choose whether each run returns to the existing chat or starts independently. Set an operational consumption and runtime boundary and check which controls the chosen interface actually enforces.
Observe a scheduled run and a failure
A manual prompt test does not prove scheduled execution. Observe an actual run, its source access and output. Also test a missing file or denied connection and the route to the owner. Review changes before merging or deployment under the agreed process. Investigate availability, usage budget and model access separately when problems arise.
Decision matrix
| Decision point | Proceed when | Stop when |
|---|---|---|
| Assignment boundary | Documented: schedule, isolated environment, budget, tests, report and escalation. | Scope, data or accountability remains unresolved. |
| Workflow evidence | An observed scheduled run produces the expected report with test results; a deliberately triggered failure reaches the intended escalation path. A change is not accepted without the defined gate. | There is only an unevaluated demo without acceptance evidence. |
| Operational control | Owner, approval, fallback and next review date are defined. | A saved schedule does not prove execution. Local files require an available local host; web tasks do not thereby gain direct access. |
Keep it verifiable
Primary sources
- OpenAI: Scheduled tasksSource checked:
- OpenAI: PricingSource checked:
