나의 AI 정체성과 AI 팀을 모든 AI 플랫폼에서 그대로 사용하세요.
로그인 시작하기
메뉴
Agent of Me 만들기 스타일 탐색 전문 에이전트 커뮤니티 에이전트 리더보드 AI 뉴스
AI 플랫폼 디렉터리 Model Matrix 비교 어떤 AI를 사용해야 하나요? 연동 가이드 OpenClaw 설정 Prompt Fit
학습 및 도구 학습 데이터에 질문하기 에이전트 빌더 API
소개 회사 소개 문의 면책 조항
로그인 시작하기
계정
이식 가능한 AI 정체성

무료 계정을 만들어 프로필을 구축하세요. 기본적으로 비공개입니다. 직접 공개하지 않는 한 아무것도 공유되지 않습니다.

시작하기 로그인
다크 모드

🧭 가이드 보기
프롬프트, 시스템 지침, 컨텍스트 윈도우, 토큰이 처음이신가요? 모든 용어를 쉬운 설명으로 탐색하면서 익힐 수 있습니다. 동일한 페이지에 도움말이 내장되어 있습니다.

⚡ 전문가 보기
프롬프트 작동 방식은 이미 알고 계시죠. 군더더기 없이, 핵심만 간결하게. 기본 보기입니다.

인터페이스 언어

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

학습 목표
다음을 탭하거나(또는 방향키를 사용하여) 한 번에 하나씩 이동하세요. 제한 시간 없음, 5문제 퀴즈는 마지막에 있습니다. 상단의 ← 로 언제든지 나갈 수 있으며, 진행 상황은 저장됩니다.

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.

미니 퀴즈, The Persistent Layer

5 질문은 매 시도마다 문제 은행에서 새로 출제됩니다. 합격 기준 60%. 재시도 횟수 제한 없음.

다음 섹션: Designing a Specialist →
레슨 전체 텍스트 읽기

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.

기업

Business AnalystChief of StaffExecutive AssistantM&A AnalystManagement ConsultantOperations AnalystProject ManagerRecruiter

금융

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

법률

Contract Review AssistantLegal Due Diligence AssistantLegal Research AssistantParalegal

마케팅

Brand StrategistContent StrategistGEO AnalystMarketing StrategistSEO AnalystSales Strategist

개인

Career CoachLearning TutorReflection AssistantResearch AssistantTravel PlannerWriting Assistant

부동산

Acquisition AnalystAsset Management AnalystCommercial Real Estate AnalystDevelopment AnalystLease AnalystProperty Financial Analyst

리서치

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

기술

AI Strategy AdvisorCybersecurity Research AssistantData AnalystProduct ManagerSoftware Engineer