Verified65% confidenceSolutionExact time
When giving instructions to AI, one should specify both what to do and what not to do, proactively setting boundaries to prevent the model from improvising freely.
3
Sources
65%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
Unverified给 AI 指令时明确负向约束（Negative Constraints）与正向指令同等重要，能显著收窄模型输出的概率空间79% similarUnverifiedWhen unsure how to proceed, asking AI 'can you do it yourself' rather than 'what should I do' is preferable, because the former activates the model's tool-calling capability to execute the task on its own.79% similarUnverifiedDesigns that evade AI identity are typically implemented through system prompts, where developers preset rules at the model instruction level requiring the AI to sidestep identity questions.79% similarUnverifiedSome AI vendors are exploring mechanisms that allow models to 'exit' conversations that make them 'uncomfortable'78% similarUnverifiedA more reliable approach to defending an AI representative against prompt injection is to set hard guardrails at the system level: strip key decisions (such as confirming bookings, quoting prices, committing to timelines) out of the AI's direct output and instead generate 'proposals pending the owner's review', with the human making the final confirmation.78% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/577481API
curl https://kongchang.com/api/v1/knowledge/claims/577481MCP
get_claim(id=577481)