Unverified50% confidenceOpinionExact time
在有完善系统提示词和流程约束的条件下，够用的模型加上好的系统设计往往优于强力模型加上混乱的提示词
1
Sources
50%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
UnverifiedA well-aligned model will guide meta-prompts toward compliant creative expression, while an insufficiently aligned model may exhibit unexpected behavior.77% similarUnverifiedSystem prompt adherence is not a hard constraint but a probabilistic tendency; models may ignore system instructions when user input creates a semantic conflict with the system prompt.73% similarUnverifiedExcellent prompt engineering can improve the output quality of the same model several-fold, and in certain tasks can make small models match the performance of large models.73% similarUnverifiedDifferent LLM models vary in their accuracy of understanding instructions; it is recommended to iteratively optimize prompts multiple times to achieve the best results.72% similarUnverifiedSkills 机制通过上下文注入在不修改模型权重的前提下引导模型输出，相比一次性 Prompt Engineering 强调可复用性、版本管理和模块化组合72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/570023API
curl https://kongchang.com/api/v1/knowledge/claims/570023MCP
get_claim(id=570023)