Matthew Berman defines an agent loop as a repeated workflow driven by a trigger and a goalWorkflow automation uses software or AI to complete a connected sequence of routine steps with less manual effort.. He distinguishes measurable conditionsAn acceptance criterion is a specific condition that must be satisfied before a software change or task can be considered complete. from goals that depend on a model’s judgment.
Berman demonstrates examples for page performance, documentation, architecture, logging, error review, search visibility and product evaluationEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria.. He describes ways to start these tasks manually, on a schedule or in response to an event.
He cautions that subjective goals can be brittle, new feature work is difficult to constrain and long-running loops can consume substantial tokens. Sponsored and consulting promotions are omitted.
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