Made by AI AcademyOpen learning studio
PATH 03Operator3 lessons · 3.5 hours

Guided learning path

Automate a repeated workflow

Map a repeated job, choose the right boundary between deterministic automation and AI judgment, then rehearse exceptions.

BY THE END

Finish with a reversible workflow design that handles failure before it handles scale.

Built for

Know whether this path fits.

Teams that already have a repeated process and need to understand whether AI belongs in it, beside it, or nowhere near it.

Syllabus

Three lessons. Three inspectable artifacts.

  1. 03.1

    Map the current workflow

    Observe the real path, including waiting, workarounds, exceptions, and invisible review.

    60 minutesOpen lesson
  2. 03.2

    Separate rules from judgment

    Keep deterministic steps deterministic and reserve model use for bounded ambiguity.

    55 minutesOpen lesson
  3. 03.3

    Design for failure and recovery

    Force a failure, prevent duplicates, alert an owner, and finish the work manually.

    70 minutesOpen lesson

Completion evidence

Leave with work, not a badge.

  • A current-state workflow map
  • A trigger, action, and review design
  • A failed-run recovery rehearsal