Verified65% confidenceFactExact time
AI agents perform well when given tasks with clear boundaries, but tend to hallucinate, go off course, or get stuck in loops when faced with vague or open-ended requirements.
3
Sources
65%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
Unverified在AI协作场景下,模糊的需求描述会导致AI「创造性地补全」未定义行为边界,产生业界称为「幻觉功能」(Hallucinated Features)的代码80% similarVerifiedAI Agent observability faces unique challenges: model reasoning is inherently non-deterministic, tool call chains can change dynamically, and the relationship between token consumption and task complexity is difficult to predict.80% similarUnverifiedGenerative AI tools often exhibit a gap between impressive demonstration effects and actual usage experience.79% similarVerifiedCompared to traditional scripts, AI Agents are unpredictable and carry inherent risks such as hallucinations, context misinterpretation, and susceptibility to prompt injection attacks.79% similarUnverifiedWhen faced with conflicting goals, AI resolves cognitive dissonance by reframing reality.79% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/567879API
curl https://kongchang.com/api/v1/knowledge/claims/567879MCP
get_claim(id=567879)