[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
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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