Retrospective
Automation needs a stopping point
Archive date Published
Archive date marks the period this retrospective looks back on.
A run plan is incomplete until it says when to pause, stop, or return control.
Automation is usually described by what it can start. It can open, collect, train, compare, rotate, or repeat. I have become more interested in the opposite question: how does it stop? A system that can begin a long chain of actions but cannot state its stopping conditions is asking for trust it has not earned.
Working on My Bot pushed this question into the interface. A session is not only an account and a set of actions. It also has pacing, quotas, hero loadouts, and conditions that should end the run. Those limits belong in the plan before anything happens. They should not be hidden in scattered settings or discovered only after the automation has continued longer than the person expected.
Stopping is not always a failure. The right response to a missing signal, changed screen, unavailable resource, or uncertain state may be to wait and ask for attention. Recovery can be useful, but only when it is bounded. An automatic retry that never gives up is not resilience; it is a loop with no judgment. The person supervising the tool should be able to see what it intended, what it observed, and why it decided not to continue.
This is one reason I prefer explicit plans over a single mysterious Start button. A plan can be reviewed. A stop condition can be tested. A paused run can leave evidence without pretending it finished. Automation is valuable because it handles repetition, not because it removes responsibility. The safest version keeps returning control at the moments when the system no longer has enough information to act honestly.