Claude Code | Agent Design for PM/PO Service Planners
[Problems This Course Solves] - The limitations of planners who have ideas but cannot build them directly - Inefficient decision-making based on imagination: "Please make it like this" - Bottlenecks caused by requesting and waiting for the development team for every data analysis or API verification - The reality of using AI tools but remaining at the level of simple ChatGPT Q&A [What You Will Learn] 1. Redesigning the Planning Process in the AI Era - Traditional: Planning → Design → Development (Sequential waiting) - Shift: Writing PRD → Generating Prototype → Decision-making based on the actual product → Delivery after confirmation - Moving from planning explained through documents to planning demonstrated through actual products 2. Designing AI Agents for PMs - Harness Engineering: Designing a working structure rather than just asking AI questions - CLAUDE.md, Rules, Hooks, MCP, Plugins — The roles and design principles of each layer - Agent Router: A structure where a single request is automatically assigned to the optimal agent - PGE Pipeline: Planner → Generator → Evaluator, quality control design for large-scale tasks 3. Building Your Own AI Team - Planning/Research, Product, Design, Development, Marketing — 20+ agents across 5 columns - Actual workflows where a solo planner manages a team of experts - Connecting external tools via MCP (Notion, Figma, Slack, data sources) - Automating repetitive tasks with one-command "Skills" 4. Practical Automation of Supplementary Tasks - GA4 + Clarity + GSC + BigQuery → Integrated dashboard + automatic weekly insight generation - Direct calling of in-house APIs → Scenario verification → Quality evaluation reports - BigQuery cohort analysis → Aha Moment hypothesis verification - A/B testing, Notion synchronization, UI/UX audit automation --- Who should take this course: - PM/PO/Service Planners tired of waiting times and review cycles in the planning process - Those who want to properly design AI as a professional work tool - Those who want to make data-driven decisions themselves but lack analysis team resources - Non-developers who want to move past their fear of the "terminal" [Prerequisites] - None. We guide you through everything from installation to setup. - No coding experience required. We focus on design and application from a PM's perspective. [Changes After Taking the Course] - Increase decision-making speed by creating working prototypes directly from a single PRD.md - Design and operate your own team of AI agents - Directly automate data analysis, API verification, and report generation
75 learners
Level Basic
Course period Unlimited

Want to know what questions other learners frequently ask?
- Resolved
강의 자료 및 소스 MD 파일 문의
안녕하세요, 레브님!강의 잘 들었습니다 에이전트를 활용하여 워크플로우를 구축해보려고
업무-생산성기획서인공지능(ai)ai-agentmcplyn3570010
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7 days ago
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강의 자료 및 소스 MD 파일 문의
안녕하세요, 레브님!정말 좋은 강의 잘 들었습니다.저도 강의를 듣다보니강의에 사용된 소스
업무-생산성기획서인공지능(ai)ai-agentmcpNo Author
・
8 days ago
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강의에 사용된 자료 요청
안녕하세요. 강의 잘 들었습니다..!agent를 구성해보려고 하는데..클로드 포지만 설치했더니 단계를 잘 모르겠어서, <p style="text-align
업무-생산성기획서인공지능(ai)ai-agentmcpminaehong9064
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10 days ago
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강의 자료 및 소스 MD 파일 문의
안녕하세요, 레브님!강의 잘 들었습니다에이전트를 활용하여 <p style="text-ali
업무-생산성기획서인공지능(ai)ai-agentmcpzomjjang
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17 days ago
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강의에 사용된 Agent 소스 및 MD 파일 문의
안녕하세요! 레브님!우선 강의 너무 잘 듣고있습니다.<
업무-생산성기획서인공지능(ai)ai-agentmcprexham8939
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18 days ago
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혹시 강의에 사용된 Agent 소스와 md 파일 구성을 좀 알 수 있을까요?
안녕하세요! 레브님! 강의 잘 듣고 있습니다. 전에도 수강평을 올렸었지만 step - by - step으로 전반적인 개념과 전체 구성 등을 잘 설명해 주셔서 너무 도움되고 있습니다.
업무-생산성기획서인공지능(ai)ai-agentmcphslee0912
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a month ago
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51
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현재 강의에 사용하신 md 파일이 무척이나 궁금합니다.
안녕하세요, 강사님. 이번 강의를 통해 서비스 기획자가 마주하는 현실적인 문제들과 이를 Claude Code라는 에이전트로 해결해 나가는 과정에서 큰 영감을 받았습니다. 특히 기획자의 고뇌
업무-생산성기획서인공지능(ai)ai-agentmcpcrazy81178855
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a month ago
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섹션3 강의들의 나오지 않습니다.
섹션 3의 5~7강 강의가 보이지 않습니다.확인 부탁드려요
업무-생산성기획서인공지능(ai)ai-agentmcpNo Author
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2 months ago
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