Do AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and Execution
Large language model (LLM) agents increasingly automate multi-step engineering and informatics workflows, yet they rarely ask how much effort a task actually requires. They often follow a maximum-context-first strategy--re-reading files and dependencies they have already seen--turning a one-line edit into a small code-base audit. We argue the missing capability is task-aware execution-scope estimation: judging a task's difficulty, the information it truly needs, and the shortest reliable path be
Record details
Published: 14 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy · Transparency
Retrieved: 15 July 2026
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ethics.ai (14 July 2026), “Do AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and Execution,” evidence record 10445, https://ethics.ai/record/10445 (originally published by arXiv cs.AI).
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