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.
Repeat scheduled-run acceptance after a model change
A manual prompt test does not prove scheduling works. Observe a real scheduled run, including source, result and failure path. Include fixed model assignments in the task register: the planned GPT-5.5 retirement on 14 October affects Codex authenticated with ChatGPT, but not automatically an API integration. Test the appropriate replacement before the deadline and again after plugin or connection changes. A successfully started run proves neither delivery nor a usable business output.
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:
- OpenAI: current Codex modelsSource checked:
