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[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

reve

Claude Code | Agent Design for PM/PO Service Planners

ai in practice

AI 활용법

클로드코드

ai에이전트

바이브기획

하네스엔지니어링

입문

초급

중급이상

Business Productivity

Planning Document

AI 에이전트

AI Agent

Model Context Protocol

Agent Design for PM/PO Service Planners

Reasons for using Claude Code

MCP & SKILL to upgrade my AI

How to increase productivity by 200% with 20+ agents

PRD and Prototype Creation plus Tips | AI Agent PM/PO

Closing the lecture