Claude Cowork Workflow Automation for Non-Developers: An AI Assistant That Keeps Working After You Hand Off Tasks From Your Phone and Head Home

Have you introduced AI but still find yourself losing time to repetitive tasks? The problem isn't the AI; it's the 'system.' This course guides you through the process of building a team of six AI assistants—including an executive assistant, content assistant, marketing assistant, CRM assistant, and personal productivity assistant—all using Notion AI. Based on my experience automating hundreds of repetitive tasks in real-world business settings, we will build actual workflows from start to finish, covering everything from organizing notes and automatically generating meeting minutes to blog writing, CRM construction, and automated KakaoTalk notifications. After completing this course, you will have a system where your own AI assistant team works automatically, powered solely by a Notion Business plan.

[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

A course for office workers who handle repetitive tasks manually, such as organizing spreadsheets, taking meeting minutes, writing weekly reports, and replying to emails. A company that actually works with six AI employees will show you how to use Claude Code in the Claude Desktop app—without a terminal, and with instructions in Korean—to create AI staff for accounting, secretarial work, email, research, legal tasks, and memory, and how to catch AI’s mistakes by checking them against the original sources.

Basic usage of Claude Code is now easy to come by. However, it's rare to get a chance to see how an expert actually uses it in practice. Kang Hyeop, author of the bestseller "AI Gap," will show you everything from his workspace setup to his workflow, demonstrating exactly how he utilizes it on screen.

Learn how to automate repetitive tasks using ChatGPT, Gemini, and Google Apps Script—even without coding knowledge. From automated email sending to personalized HTML emails, scheduled execution, and integration with Google Forms, Sheets, and Slides, you’ll build automation systems yourself that can be used immediately in real-world work.

Mastering ChatGPT: AI Use for Beginners - From Prompting to Content Creation and Programming

This is a practical course that uses Codex to connect business planning, website creation, marketing materials, task organization, and email automation. Even if you are not a developer, you will learn how to delegate tasks to AI and refine the results using Notion, Linear, Figma, and Google Workspace in an actual workflow sequence.

Recording is not just a note; it is a tool for organizing life's priorities. Create your own 6F note system—covering family, work, hobbies, growth, and more—through Obsidian, and experience everything from daily reflection routines to structured work notes. Without any fluff, this contains only the essence of recording and connecting knowledge. From the basics to the practical application of Personal Knowledge Management (PKM), we provide a simple and clear guide.

I will show you "where to start" through a case study of building a service with non-developers in just one day, and explain "how to manage and collaborate" using the example of designing the GitHub structure for the Selfish Membership team.

Do you want to create your own blog and social media content, but find Figma difficult and design overwhelming? In this course, you will learn everything from Figma's basic interface and frames to handling images, text, shapes, and effects step-by-step by creating actual content. You will produce blog covers, thumbnails, CTA elements, and digital business cards. Furthermore, you will complete reusable content templates using Components, Auto Layout, Properties, and Variants, allowing for quick edits even when text and images change. Go beyond simply creating a single pretty image—build your own content production system that can be used consistently for your blog and social media. Point 1. Master Figma basics through actual content creation - Learn core functions such as frames, layers, images, text, and shapes through practice-oriented lessons. - Understand the Figma workflow by directly creating blog covers and thumbnails. - Even non-designers can naturally acquire basic skills while completing their own projects. Point 2. Create content templates that allow for repetitive edits - Learn the core principles of Components, Auto Layout, Properties, and Variants. - Create thumbnails and CTA elements where text, colors, and images can be swapped quickly. - Minimize the time spent starting from scratch every time you create content. Point 3. Build your own content pipeline - Create design assets that can be utilized across multiple channels like blogs and Instagram. - Establish a consistent channel image by registering color, text, and effect styles. - Complete a foundation for sustainable content production by repeatedly utilizing the templates you built yourself.

If you receive stock recommendations from AI and leave the timing of buying and selling to it, will you actually make a profit? AI is not a prophetic tool that predicts future stock prices. Instead, it can be a powerful investment assistant that checks the emotions swaying your investment decisions, analyzes complex information, and helps you stick to long-term investment principles. In this course, you will understand the typical behavioral errors of individual investors—such as loss aversion, panic selling, and FOMO—and learn how to create unwavering investment criteria using AI prompts and investment analysis tools. From back-calculating target assets to portfolio design, utilizing tax-saving accounts, and setting up automated recurring purchases, complete your own AI investment system that even busy office workers can consistently execute. Point 1. Understand the limits of AI investment and use it properly Understand through data why AI is not suitable for stock recommendations and predicting trade timing Utilize AI in areas it excels at, such as earnings call analysis, ETF overlap diagnosis, and portfolio reviews Learn how to review counter-scenarios and risk factors so you don't just believe optimistic answers Point 2. Correct the malfunctions that sway investment psychology Diagnose recurring investment behavior patterns such as loss aversion, the disposition effect, panic selling, and FOMO Practice the 72-hour rule to reduce impulsive trading and routines for formalizing selling conditions Design AI prompts that help maintain long-term investment principles despite market volatility Point 3. Create a long-term investment system that sustains itself automatically Design a recurring investment plan and portfolio based on target assets and investment periods Review investment strategies through Monte Carlo analysis and tax-saving account simulations Complete an investment structure that executes without constant deliberation by setting up automated purchases and cash buffers

Microsoft Loop is a tool that revolutionarily transforms real-time collaboration and information sharing. In this course, you can easily learn everything from Loop's basic concepts to practical application methods, and integration with various Microsoft 365 apps. We provide a hands-on curriculum that can be immediately applied to various tasks such as team projects, idea organization, and work management. We guide you step by step so that even beginners can follow along, and we also share tips that can be used directly in actual work. Experience new collaboration with Loop!

Don't memorize commands. Just say, "Do this." Even without programming experience, let's have Claude Code perform 5 tasks. From file organization and document writing to data analysis, automation, and even web pages. The only payment required for this course is Claude Pro ($20/month). All other tools used are free.

Turn meeting minutes, reports, transaction statements, and even proposal decks into Skills that automate repetitive work. Build and connect them in Claude and ChatGPT without coding to create your own automated workflows.

For office workers unsure what to delegate to AI and how to instruct it, we provide practical guidelines based on experience with 16 scheduled tasks.

Can you make a proposal look convincing with AI, but lack the confidence to bring it into the meeting room? A global content strategist with 17 years of experience—who built practical planning expertise at major advertising agencies and global e-commerce companies, and had that expertise validated on a global education platform—will teach you the principles of planning that work in practice and AI workflows, from defining the problem to completing the slides.

AI handles the first draft; I handle the judgment and polish. Learn the practical skills and terminology that junior planners use from day one, and work with Claude to create a complete set of deliverables for a study café reservation service: a project proposal, menu structure, screen designs, and functional specifications.

From AWS EC2 backend operations to automatic error fixing, we are revealing the entire development process of Sidabari (https://github.com/cx8537/sidabari), a Claude Code-based automation tool. In this course, we provide all the actual prompts and conversation history used as learning materials, allowing you to experience the entire prompt input process involved in its creation.

Get Started with Claude Code Faster Than Anyone Else | E-book Learn Claude Code quickly and start automating your work!

AI solutions that maximize innovation and performance! Your business will leap to a new dimension.