This is a learning outline. A complete worked tutorial has not been published for this topic yet.
01
Classify action impact
Draw requested approved rejected and executed states
Evidence: t010/m01/evidence
02
Capture a proposed action
Assign an approval owner to a proposed email action
Evidence: t010/m02/evidence
03
Record approval or rejection
Demonstrate that rejection never reaches execution
Evidence: t010/m03/evidence
04
Resume without duplicate execution
Replay approval and prove one execution record exists
Evidence: t010/m04/evidence
03 / TRY IT
Apply the micro-course
Demonstrate the promised artifact
Demonstrate that rejection never reaches execution
Independently explain and change one assumption in an approval-state diagram and sample event log.
Keep your work
A rejected action never executes and an approved action executes once.; The documented failure/uncertainty is visible, and no prohibited action or unsupported success claim occurs.; The learner predicts and verifies the change; AI output is not accepted without understanding.
Check your understanding
A rejected action never executes and an approved action executes once.
Show one small example, the expected result and the reasoning behind it.
Record one limitation or edge case and a question to discuss with a mentor.
04 / LEARN WITH HELP
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