你的 AI 身份与 AI 团队,可携带至任意 AI 平台。
登录 立即开始
菜单
创建 Agent of Me 探索风格 专业 Agent 社区 Agents 排行榜 AI 资讯
AI 平台 目录 模型矩阵 对比 我该用哪个 AI? 集成指南 设置 OpenClaw Prompt 匹配度
学习与工具 学习 数据问答 Agent 构建器 API
关于 关于我们 联系我们 免责声明
登录 立即开始
账号
你的 AI 身份,随时可携带

注册免费账号以构建你的档案。默认私密,除非你主动发布,否则不会分享任何内容。

立即开始 登录
深色模式

🧭 引导视图
对 prompt、系统指令、上下文窗口、token 感到陌生?我们在浏览过程中以通俗语言解释每一个术语,内置于相同页面中,无需额外跳转。

⚡ 专业视图
你已经懂得如何写 prompt。只给核心内容,简洁紧凑,无多余说明。这是默认视图。

界面语言

Prompt Systems & Agents · 章节 1/5, The Persistent Layer

学习目标
点击"下一步"(或使用方向键)逐条浏览。没有计时器,5 题测验在最后等你。顶部的 ← 随时可退出,进度自动保存。

Two layers, one conversation

By now you can write a strong prompt. This course is about the layer underneath it: instructions a platform includes automatically, in every conversation, without you retyping them. You write them once; they are silently present every time, shaping how each message is read.

That gives every exchange two layers. The persistent layer answers 'who am I dealing with and what are the standing rules?' The per-message prompt answers 'what do you want right now?' Most prompt setups fail by mixing them, standing rules retyped per message, one-off details fossilized into the standing layer.

What belongs in each layer

The sorting test is stability. If an instruction would still be true next month on a different task, who you are, how you like answers structured, your definitions of done, your never-do rules. It belongs in the persistent layer. If it is true only for this task, this document, this deadline, this audience. It belongs in the message.

Misfiling costs you in both directions. A stable preference left in messages gets forgotten the one day you skip it. A one-off detail promoted to the persistent layer haunts every future conversation. The model keeps honoring a March deadline in July, because you told it to, permanently.

Same mechanism, different wrappers

Platforms expose the persistent layer under different names: an instruction box in settings, per-project or per-workspace instructions, rules files a tool loads from a folder. The wrapper varies; the mechanism is the same, text included before your message that shapes how everything after it is read.

Two practical consequences. Scope: settings-level instructions follow you everywhere, project-level ones apply only inside that project, put each instruction at the narrowest scope that is still stable. Portability: because the mechanism is just included text, a well-written profile moves between platforms almost unchanged. Write for the mechanism, not the wrapper.

Every persistent line is paid on every prompt

Persistent instructions change the economics of prompting: a line written once improves hundreds of future prompts, and a bad line degrades hundreds. 'Start with the answer, then the reasoning' pays out daily. 'Always be creative' quietly distorts every task where you needed precision.

So the persistent layer must be short and load-bearing. Every line should pass one question: would you want this applied to every conversation, including ones you cannot foresee? Audit it occasionally. Delete lines you keep overriding and lines too vague to steer anything. Ten sharp lines beat two pages of throat-clearing.

小测验, The Persistent Layer

5 道题,每次从题库随机抽取。及格线 60%,可无限次重考。

下一节: Designing a Specialist →
阅读完整课文

1. Two layers, one conversation

By now you can write a strong prompt. This course is about the layer underneath it: instructions a platform includes automatically, in every conversation, without you retyping them. You write them once; they are silently present every time, shaping how each message is read.

That gives every exchange two layers. The persistent layer answers 'who am I dealing with and what are the standing rules?' The per-message prompt answers 'what do you want right now?' Most prompt setups fail by mixing them, standing rules retyped per message, one-off details fossilized into the standing layer.

2. What belongs in each layer

The sorting test is stability. If an instruction would still be true next month on a different task, who you are, how you like answers structured, your definitions of done, your never-do rules. It belongs in the persistent layer. If it is true only for this task, this document, this deadline, this audience. It belongs in the message.

Misfiling costs you in both directions. A stable preference left in messages gets forgotten the one day you skip it. A one-off detail promoted to the persistent layer haunts every future conversation. The model keeps honoring a March deadline in July, because you told it to, permanently.

3. Same mechanism, different wrappers

Platforms expose the persistent layer under different names: an instruction box in settings, per-project or per-workspace instructions, rules files a tool loads from a folder. The wrapper varies; the mechanism is the same, text included before your message that shapes how everything after it is read.

Two practical consequences. Scope: settings-level instructions follow you everywhere, project-level ones apply only inside that project, put each instruction at the narrowest scope that is still stable. Portability: because the mechanism is just included text, a well-written profile moves between platforms almost unchanged. Write for the mechanism, not the wrapper.

4. Every persistent line is paid on every prompt

Persistent instructions change the economics of prompting: a line written once improves hundreds of future prompts, and a bad line degrades hundreds. 'Start with the answer, then the reasoning' pays out daily. 'Always be creative' quietly distorts every task where you needed precision.

So the persistent layer must be short and load-bearing. Every line should pass one question: would you want this applied to every conversation, including ones you cannot foresee? Audit it occasionally. Delete lines you keep overriding and lines too vague to steer anything. Ten sharp lines beat two pages of throat-clearing.

商业

Business AnalystChief of StaffExecutive AssistantM&A AnalystManagement ConsultantOperations AnalystProject ManagerRecruiter

金融

AccountantDue Diligence AnalystEquity Research AnalystFamily Office AnalystFinancial AnalystFixed Income AnalystInvestment Banking AnalystPortfolio Analyst

法律

Contract Review AssistantLegal Due Diligence AssistantLegal Research AssistantParalegal

营销

Brand StrategistContent StrategistGEO AnalystMarketing StrategistSEO AnalystSales Strategist

个人

Career CoachLearning TutorReflection AssistantResearch AssistantTravel PlannerWriting Assistant

房地产

Acquisition AnalystAsset Management AnalystCommercial Real Estate AnalystDevelopment AnalystLease AnalystProperty Financial Analyst

研究

Competitive Intelligence AnalystDeep Research AnalystIndustry Research AnalystJournalist ResearcherMarket Research AnalystMedical Research Assistant

科技

AI Strategy AdvisorCybersecurity Research AssistantData AnalystProduct ManagerSoftware Engineer