System Prompt
A hidden instruction injected into a large language model before the user conversation begins, used to set the model's behavioral boundaries, tone and content policy. It is not a hard code constraint but natural language text with a relatively high priority level.
Core Facts
The system prompt is the highest-priority instruction layer in large language model conversation architecture, injected before user messages and influencing how the model processes all subsequent inputs.
Without human guidance, even with strongly configured system prompts, AI agent behavior tends toward two extremes: rapid polarization or polite consensus loops.
Timeline (last 90 days)
Adjusting the system prompt to fix the bot's incorrect extension approach is like manually editing a document: each erroneous call adds a line, no one cleans it up, and important rules and outdated rules compete for the model's attention.
The system prompt should add 'cite only explicitly listed facts; if a certain fact is missing, say you will go confirm it' to fix the failure of answering undocumented questions.
Hard limits should be placed in the code rather than in the system prompt; for example, the check in create_refund is the actual rule, while a limit in the prompt is merely a suggestion.
Most production-grade assistants use RAG plus a carefully written system prompt, and very few truly need fine-tuning.
When building a multimodal customer service Agent, the system prompt should clearly define boundaries, for example not claiming to have fixed anything, to avoid the model making misleading repair claims.
System prompt management needs to be elevated to the code level, including version control, A/B testing, bias audits, clarity review, and length optimization.
Context includes system prompts, few-shot examples, historical conversation turns, and the current user input, and the later the content appears, the greater its influence on the output usually is.
系统提示词应仅用于定义Agent行为方式，而不应用作存储业务知识（事实）的容器。
任何无法用一条客户消息来测试其是否生效的指令，都不该出现在系统提示词里。
含糊的帮助性指令（如「超越期待」）是负债，应替代为明确定义：在列出事实上准确，其他所有事情干净交接。
38 more timeline events
All Facts (20)
The system prompt is the highest-priority instruction layer in large language model conversation architecture, injected before user messages and influencing how the model processes all subsequent inputs.
65%VerifiedWithout human guidance, even with strongly configured system prompts, AI agent behavior tends toward two extremes: rapid polarization or polite consensus loops.
65%Unverified商业AI产品的系统提示词长度从几百token到数万token不等
80%Unverified生产级系统提示词长度可达数千甚至上万token
80%Unverified在企业级应用中，一个生产可用的系统提示词往往需要经过数十次迭代，涵盖角色定义、行为边界、异常处理、输出格式等多个维度
75%UnverifiedConstraints relying solely on system prompts often prove ineffective when faced with sufficiently sophisticated attacks.
60%UnverifiedA large portion of system prompts is typically dedicated to setting safety guardrails, including refusing to generate harmful content, avoiding dangerous operation instructions, protecting privacy, and preventing jailbreak attacks.
60%UnverifiedAdjusting the system prompt to fix the bot's incorrect extension approach is like manually editing a document: each erroneous call adds a line, no one cleans it up, and important rules and outdated rules compete for the model's attention.
50%UnverifiedThe system prompt should add 'cite only explicitly listed facts; if a certain fact is missing, say you will go confirm it' to fix the failure of answering undocumented questions.
50%UnverifiedHard limits should be placed in the code rather than in the system prompt; for example, the check in create_refund is the actual rule, while a limit in the prompt is merely a suggestion.
50%UnverifiedMost production-grade assistants use RAG plus a carefully written system prompt, and very few truly need fine-tuning.
50%UnverifiedWhen building a multimodal customer service Agent, the system prompt should clearly define boundaries, for example not claiming to have fixed anything, to avoid the model making misleading repair claims.
50%UnverifiedSystem prompt management needs to be elevated to the code level, including version control, A/B testing, bias audits, clarity review, and length optimization.
50%UnverifiedContext includes system prompts, few-shot examples, historical conversation turns, and the current user input, and the later the content appears, the greater its influence on the output usually is.
50%Unverified系统提示词应仅用于定义Agent行为方式，而不应用作存储业务知识（事实）的容器。
50%Unverified系统提示词失败的核心机制之一是提示词试图同时充当大脑，将事实、政策、语气和行为混杂在一个文档中，导致改动任何一处都可能牵动全部。
50%Unverified真相来源（single source of truth）在Agent架构中意味着业务事实存放在独立文件、日历或订单系统中，系统提示词只保留指向它们的指针。
50%Unverified含糊的帮助性指令（如「超越期待」）是负债，应替代为明确定义：在列出事实上准确，其他所有事情干净交接。
50%Unverified任何无法用一条客户消息来测试其是否生效的指令，都不该出现在系统提示词里。
50%Unverified每周变化的事实（价格、促销、员工姓名、季节营业时间）应从系统提示词中剔除，改在事实文件中修改，绝不在两处都改。
50%