[Course Review] Claude Does It All

This review was written after receiving complimentary access to the course as part of Hanbit Media's <I am a Reviewer> program.

About the Course

『클로드가 다 해줌 : 하루 1시간 6일 완성』, roughly translated as Claude Does It All: One Hour a Day for Six Days, is an introductory Claude course available on Hanbit+. It takes you from asking questions to automating work, with a structure you can follow even without coding experience. Looking through the official exercise repository, I found that the accompanying book is introduced under the Korean title 『클로드 부려먹기의 기술』. It is described as a follow-up to 『n8n이 다 해줌』, with publication being prepared by Hanbit Media.

The course covers quite a lot. The exercise materials start with basics such as creating meeting agendas using Projects and Artifacts, then move on to automating research with Cowork and connectors, and deploying a neighborhood apartment transaction price dashboard with Claude Code. Later sections even introduce subagents and hooks. In other words, it is a tour that starts at the chat interface and takes you all the way to agents.

AI Adoption Is Lower Than I Expected

I use AI quite a bit, both at work and in my personal life. Most of the developers around me do too, so I assumed practically everyone was using it. But when I actually talk to people, quite a few still are not.

Within the developer community, that impression is understandable. According to JetBrains' 2026 developer survey, 90% of professional developers used AI coding agents at work every week during the May–July period. The share using Claude Code at work had reached 39%, up from 18% in January—more than doubling in roughly half a year.

Step outside that community, though, and the picture changes. In Pew Research Center's survey of U.S. adults, 44% said they used ChatGPT, while just 6% said they used Claude. Claude Code may be widespread among developers, but Claude is still an unfamiliar name to many everyday users. Only 18% said they were very confident using chatbots, too. My assumption that everyone was already using these tools turned out to say more about my own surroundings than the wider world.

The Gap Between Chat and Agents

The bigger gap is in how people use AI. Asking questions in ChatGPT and reading the answers is one thing. Building agents and automating work is another step entirely.

That gap also appears in a report OpenAI published in June 2026. According to the report, almost all active users inside OpenAI used Codex, whereas fewer than 1% of external individual active users had used Codex in the previous 28 days. Here, an active user means someone who used ChatGPT or Codex during that same period. Even within one company's products, there is a substantial difference between the people building them and the general public.

Claude Does It All felt well suited to bridging that gap. Its focus is on helping people move from asking a few questions in a chat window toward running automation loops with agents.

Who I Would Recommend It To

The official recommended level is beginner, but I think the real audience is a little more specific: someone who has only used ChatGPT's chat interface, or has tried AI through a lower-cost plan such as ChatGPT Go, and now wants to learn Claude properly.

The numbers above bring that audience to mind. Plenty of people may already be familiar with AI but have no idea where to begin with Claude. This course seems like a useful guide for making that transition.

Of course, ChatGPT has plenty of useful features too, and model performance keeps shifting. Using several services together is ideal; I use about four myself. But most people do not need to go that far. If you want to start with a single Claude Pro subscription, I think this course can help you find your footing.

From Theory Straight into Practice

I liked the attention to detail. Each chapter revolves around building or improving a project. It first explains a core Claude feature or a concept you need to understand when working on projects with AI, then moves straight into an exercise. You do not just listen to an explanation and move on—you try it yourself, which made the material easier to remember.

Examples for Everyday Life and Work

The examples cover a wide range of situations, from building an apartment transaction price dashboard to using DART disclosure data to evaluate a groupware vendor and write an adoption proposal. They cross the boundaries between everyday life, hobbies, and work.

If you have only used chat interfaces such as ChatGPT or Gemini and are starting to think, "I want to actually build something now," I think this course offers enough that you may not need to look for another one. There are plenty of examples you can adapt to different situations, giving you a starting point for pursuing your own projects.

What Could Be Better

Honestly, some sections felt a little dull. Watching at 1.25x or 1.5x speed made them easier to get through. For me, 1.5x was the sweet spot.

Closing Thoughts

More people have now tried AI, but handing off work beyond the chat window is still unfamiliar territory for many. This course feels like a friendly bridge for anyone who wants to take that next step. If you are considering moving from ChatGPT to Claude, I would recommend starting with one subscription and working through this course.

References

• 클로드가 다 해줌 : 하루 1시간 6일 완성 (Hanbit+, in Korean)
• Official exercise materials: ggplab/claude-playbook (GitHub)
• AI Coding Agents: Adoption Trends (JetBrains Research)
• Americans and AI 2026 (Pew Research Center)
• What do Americans think AI is? — Confidence using chatbots (Pew Research Center)
• How agents are transforming work (OpenAI)
• The Shift to Agentic AI: Evidence from Codex — Figure 1, active-user definitions (OpenAI)