Set the work.
Spark keeps the promise.
Turn a recurring request into a reliable background job. Spark runs it on schedule, records every result, and brings only the decisions back to you.
Review this week's progress, surface unresolved blockers, and prepare next week's priorities.
THE CONTROL LOOP
It runs alone. You stay in control.
A useful automation is more than a timer: it knows the assignment, the boundary, and when a human decision is required.
Describe the recurring job
Say what to check, what a finished result contains, and how often it should run.
Choose the trigger
Use a schedule or interval. Spark keeps the job attached to your account across devices.
Let Spark do the work
The same Codex kernel can read context, use approved skills, and produce the requested result.
Review the result, not the process
Open the finished output, inspect its run, or answer an approval when an action has impact.
SAFE BY DESIGN
Background work without background surprises.
Every run has a visible status. Sensitive actions pause for approval. Failures remain understandable and retryable instead of silently repeating work.
Approvals before impact
Publishing, deletion, purchases, and other consequential actions wait for your decision.
Safe retries
A retry continues the job deliberately without pretending the previous run never happened.
Inspectable history
See when it ran, what happened, how long it took, and where the result lives.
START WITH A REAL ROUTINE
Useful from the first schedule.
Begin with a template, then adapt the instructions, timing, tools, and approval boundary to your work.
Daily briefing
Wake up to priorities, calendar context, and decisions that need attention.
Weekly review
Summarize progress, blockers, and the next set of priorities every Friday.
Project monitor
Check for changes, approaching deadlines, or failures at a useful interval.
Hand off the routine. Keep the decisions.
Create an automation in ordinary language, then watch its schedule, runs, and approvals from any device.