Unverified50% confidenceFactExact time
AI agents may need to execute dozens or even hundreds of consecutive steps, and any network interruption or crash could cause the entire task to fail.
1
Sources
50%
Confidence
Long-term
Relevance
9/30/2026
First Seen
Sources
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Related Claims
UnverifiedCurrent AI agents still make frequent errors when executing long-chain tasks, and there remains a gap before full reliability is achieved.78% similarUnverifiedAfter the number of constraints exceeds a certain critical point, an AI agent's ability to comply collapses precipitously, and this pattern holds for all mainstream large models.76% similarVerifiedA single complete task execution by an AI coding agent may involve consumption of tens of thousands to even hundreds of thousands of tokens.76% similarUnverifiedThe author proposes adopting a circuit-breaker strategy for AI Agents based on "consecutive failures": stop after 3 consecutive tool-call failures, with any single success resetting the counter.76% similarVerifiedA poorly designed AI agent may fall into a closed loop of goal → call API → failure → retry → loop, continuously consuming resources and accumulating costs without human monitoring.75% similar
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