We finally got the ability to schedule GPTs — and it was a genuine game-changer. Instead of remembering to ask, you set a GPT to run on its own and deliver when you need it. This session was about the when, how, and why of putting AI on a schedule.
Two examples from my own week
The best way to show the value was to share what I'd actually set up to fix my own small, real frustrations:
"Go get your Workday report"
A report lands in my inbox every Monday morning — but with no notification, I'd get busy and forget it was there. So I scheduled a GPT to remind me to go grab it. Small fix, no more missed reports.
My outstanding to-do list
I set up a GPT to monitor my email and compile a running list of my outstanding to-dos — so my action items come to me, instead of getting buried in the inbox.
What we covered
- When scheduling makes sense — recurring, predictable, easy-to-forget tasks.
- How to set a GPT to run on a schedule.
- Why it's worth it — turning "I have to remember to ask" into "it just shows up."
- Hands-on time — everyone built their own, with the group answering questions and helping each other troubleshoot.
The shift
Scheduling is a quiet turning point in the series. Up to now, AI did things when asked. With scheduling, it starts working on its own rhythm — proactive instead of reactive. It's the natural bridge to where we're heading next: agents that carry out whole workflows for you.
Key takeaways
- Schedule the recurring, forgettable tasks — reminders, digests, check-ins.
- The best use cases come from your own real frustrations.
- Scheduling moves AI from reactive to proactive.
- Building together in the room beats a solo tutorial — people leave with something that works.
Delivered live to my team and recorded internally for anyone who missed it.