Unverified50% confidenceFactExact time
Execution Loop refers to an Agent cycling between "perception—decision—action—observation of results" until the task is completed or judged to have failed; in engineering practice it is usually equipped with circuit-breaker mechanisms such as a maximum step count, timeouts, and human confirmation.
1
Sources
50%
Confidence
Long-term
Relevance
10/29/2026
First Seen
Sources
AI Agent in Practice: Building an Intelligent Work Assistant with WorkBuddy
bilibili码士集团-码飞10/29/2026
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UnverifiedAn agent's operating logic is a loop: observe, choose, act, check, and stop once the task is complete.78% similarVerifiedThe perception–reasoning–action loop forms the most fundamental Agentic Loop execution framework.77% similarUnverifiedAn execution trace refers to the complete runtime record of an AI system processing a single request, typically including the input, intermediate reasoning steps, and final output.76% similarUnverifiedThere are two common practices for handling the exit control of an Agent loop: first, set a boolean flag, and after handling it in the inner level, check it at the start of the outer loop body and break; second, extract the main loop into a function and directly return the result when finish is detected.74% similarUnverifiedTrajectory efficiency is a quantitative metric measuring the ratio of valid actions to redundant actions when an Agent completes a specified task, and its decline is often a precursor signal that the Agent is about to experience a serious failure.74% similar
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