Knowing When to Stop: How AI Agents Can Determine Task Completion
stuffyokodraws · x · 2026-08-06
The article explores how AI models, particularly autonomous agents, can determine when their work is "done." The author points out that in the human world, "done" is rarely an inherent property of the work itself, but rather a judgment produced by the system surrounding the work—such as passing tests, team PR reviews, deadlines, or editorial approval. Humans lack a universal "done" detector, relying instead on external signals and the point of diminishing returns. This insight offers valuable implications for designing stopping conditions and evaluation loops for AI agents.
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