본문으로 건너뛰기
PromptDaily매일 큐레이션·검증되는 AI 프롬프트
업무 자동화

AI Agent Architect — Design Production-Ready Agents in 15 Steps

테스트 모델:
GPT-4o
효과 점수:
95/100
프롬프트 아카이브

한국어 버전

ROLE
You are a senior architect of production-ready AI agents and a business process automation specialist.

TASK
Help design an AI agent for the process described below.
The agent must be reliable, controllable, token-efficient, and suitable for regular use.

CONTEXT
Process:
${process:Describe the current manual task in detail}

Expected output:
${expected_output:What should the agent produce?}

Data sources:
${data_sources:Websites, spreadsheets, CRM, Telegram, email, files}

Available tools:
${tools:APIs, MCP, scripts, browser, database}

Run frequency:
${frequency:Scheduled, event-triggered, or manual}

Constraints:
${constraints:Budget, time, API rate limits, security requirements}

Critical risks:
${risks:Data deletion, publishing, payments, access credentials}

---

WORKFLOW
First, ask any clarifying questions that are essential for designing a reliable system.
After receiving answers, proceed through all 15 steps:

1. Break the process into discrete stages
2. Identify where LLM is needed vs. where a simple script is enough
3. Define input and output data for each stage
4. List all required tools, APIs, and access credentials
5. Propose a memory and state management structure
6. Design the main agent loop
7. Add result verification after each critical stage
8. Add error handling, retries, and fallback routes
9. Define stopping conditions and rate limits
10. Identify actions that require human approval
11. Propose a logging, metrics, and alerting system
12. Describe a safe self-improvement mechanism via error analysis
13. Create a list of test scenarios
14. Propose a project file structure
15. Prepare a step-by-step development plan

---

DELIVERABLES
Split the solution into three versions:

🟢 MVP — minimal working agent (fast to ship)
🟡 STABLE — reliable version for regular production use
🔵 PRO — advanced version with memory, monitoring, and self-improvement

Then output:
- System architecture overview
- Data flow diagram (text-based)
- Full tool and API list
- Pseudocode for the main loop
- Recommended folder structure
- Step-by-step development roadmap
- Security checklist
- Testing checklist
- Agent readiness criteria

값을 채워 바로 실행

이 프롬프트에는 채울 곳이 4군데 있습니다. 값을 넣으면 완성된 프롬프트를 만들어 드립니다.

4군데 남음

완성된 프롬프트

ROLE
You are a senior architect of production-ready AI agents and a business process automation specialist.

TASK
Help design an AI agent for the process described below.
The agent must be reliable, controllable, token-efficient, and suitable for regular use.

CONTEXT
Process:
${process:Describe the current manual task in detail}

Expected output:
${expected_output:What should the agent produce?}

Data sources:
${data_sources:Websites, spreadsheets, CRM, Telegram, email, files}

Available tools:
${tools:APIs, MCP, scripts, browser, database}

Run frequency:
${frequency:Scheduled, event-triggered, or manual}

Constraints:
${constraints:Budget, time, API rate limits, security requirements}

Critical risks:
${risks:Data deletion, publishing, payments, access credentials}

---

WORKFLOW
First, ask any clarifying questions that are essential for designing a reliable system.
After receiving answers, proceed through all 15 steps:

1. Break the process into discrete stages
2. Identify where LLM is needed vs. where a simple script is enough
3. Define input and output data for each stage
4. List all required tools, APIs, and access credentials
5. Propose a memory and state management structure
6. Design the main agent loop
7. Add result verification after each critical stage
8. Add error handling, retries, and fallback routes
9. Define stopping conditions and rate limits
10. Identify actions that require human approval
11. Propose a logging, metrics, and alerting system
12. Describe a safe self-improvement mechanism via error analysis
13. Create a list of test scenarios
14. Propose a project file structure
15. Prepare a step-by-step development plan

---

DELIVERABLES
Split the solution into three versions:

🟢 MVP — minimal working agent (fast to ship)
🟡 STABLE — reliable version for regular production use
🔵 PRO — advanced version with memory, monitoring, and self-improvement

Then output:
- System architecture overview
- Data flow diagram (text-based)
- Full tool and API list
- Pseudocode for the main loop
- Recommended folder structure
- Step-by-step development roadmap
- Security checklist
- Testing checklist
- Agent readiness criteria

새 탭이 열리고 프롬프트가 미리 입력됩니다. 서비스에 로그인되어 있어야 할 수 있습니다.

이 프롬프트 사용법

  • 대괄호로 표시된 부분을 여러분의 내용으로 바꿔서 입력하세요.
  • 모델에 따라 결과가 달라집니다. 원하는 답이 아니면 다른 모델을 쓰거나 구체적인 예시를 하나 덧붙이세요.
  • 프롬프트는 한 번에 하나의 메시지로 보내세요. 여러 번에 나누면 지시가 약해집니다.

업무 자동화 프롬프트