Automate a Recurring Task With AI
Maps to: AI Application Builder · Operations Analyst, Solutions Engineer, Productivity Consultant, Chief of Staff
You're going to take a multi-step task you do every week and build an AI automation that runs it for you on your real data: group-chat summaries, turning one post into five, a morning calendar-prep digest. The skill is workflow automation: chaining steps across your apps and making the AI step in the middle hold up when messy real data hits it. That's a core piece of what AI application builders ship, processes that run reliably on their own, and doing one tells you fast whether building those systems is your kind of work.
The plan
0/4 doneYou're 20% in just for starting, the hardest part. Mark your first step done to keep the momentum.
Pick a multi-step task you repeat weekly (NOT email triage, that's its own card). Sketch the flow: trigger → steps → the AI step → output. The sketch is your plan and your debugging map.
Objective: A chosen recurring task + a sketched flow.
- 1
Pick the task: group-chat summaries / repurposing content across formats / a calendar-prep digest / a weekly roundup. (Email triage is a separate card.)
- 2
Sketch the flow: what triggers it, the steps, where the AI does the smart part, and the output.
Your call
Choose the recurring multi-step task and sketch the flow, yourself.
The task, and how often it eats your time.
What good looks like: Your flow sketch shows the trigger, the steps, the AI step, and the output clearly enough to build and debug from.
- A clear flow sketch is half the build. Know the steps before you wire them.
- 1
The bar to look back against
An automation running on your real data that you actually use weekly, where you found and constrained the spot the AI step gets wrong. The reliability is the work: not 'it worked in testing,' but 'it survives my real data, and I fixed where the AI got it wrong.'
Finish the final step, then submit what you built. Your progress is saved.
Tools you'll use
Steps 2–3 · Build the automation + get it to run once
How this shows up on a resume or college app
I automated a real recurring task with AI, running on my own data and saving time every week, finding and constraining the spot where the AI step got things wrong. I learned that automation is half problem-definition and half tool-wiring, and that the value is in making the AI reliable on messy real data.