Unverified50% confidenceSolutionExact time
在系统提示中加入清晰的禁止性规则往往比等价的正向描述更能有效约束模型行为
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Codex完整实战指南：从入门到企业级AI编程落地
Related Claims
Unverified规则化的提示词更擅长保证输出下限，而非帮助模型突破上限76% similarUnverified研究表明约束性负向规则（禁止做什么）比描述性正向需求对AI输出质量的提升效果更为显著73% similarUnverifiedFor sufficiently powerful models, clearly conveying intent and context is more effective than providing detailed operational procedures.73% similarUnverifiedGoal mode turns constraints into hard constraints enforced at the system level, rather than polite suggestions that the model can selectively comply with as in normal mode.72% similarUnverifiedTight grounding mode is used in scenarios involving regulation and compliance, where model responses must be strictly anchored to retrieved authoritative sources with no room for free generation.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/507240API
curl https://kongchang.com/api/v1/knowledge/claims/507240MCP
get_claim(id=507240)