About This Site
Hello World!
Section titled “Hello World!”I built this site to deliver engineering fundamentals — so anyone can master AI tools in the AI era.
Who This Site Is For
Section titled “Who This Site Is For”AI Learning Playground is built for people who haven’t worked in engineering before.
- AI beginners — you can write prompts, but get stuck on environment setup
- Product managers — you want to understand engineering well enough to talk with developers
- Marketers & designers — you want to try Claude Code or Codex but get stuck at step one
- Vibe Coding starters — you built an app but don’t understand why it works
The goal isn’t to “become an engineer.” It’s to give you practical knowledge to do your work better in the AI era.
Why I Built This
Section titled “Why I Built This”2022: My First Encounter with Midjourney and ChatGPT
Section titled “2022: My First Encounter with Midjourney and ChatGPT”I had been working across business, design, data analysis, and product development in the software engineering space. In 2022, I encountered Midjourney and ChatGPT — and was struck hard by the disruptive power of generative AI on existing business models and the tech industry.
As I got involved in PoC and MVP projects for generative AI, I began working as a prompt engineer and transitioned into an engineering role. Today I work as an AI engineer and AI transformation lead at an IT company.
”It’s a waste to leave learning inside a context window”
Section titled “”It’s a waste to leave learning inside a context window””The AI space moves extremely fast, and that pace is becoming exponential. Keeping up requires building a habit of rapid input and output. I started to feel that insights and knowledge gained through AI conversations were being wasted when they stayed locked inside a chat context window.
That reminded me of something I learned as a student. I once met a teacher who was active globally and had influenced tens of thousands of students. They taught me that learning becomes real when you share it with others in a way they can understand. Knowledge sticks when you put it out into the world. That’s why I started building this site as a place to organize what I learn.
Non-engineers are starting to use Claude Code
Section titled “Non-engineers are starting to use Claude Code”There’s another big motivation behind this site.
Coding agents like Claude Code and Codex have become tools that non-engineers can use. But for non-engineers, the terminal can feel intimidating, and the first environment setup can become a blocker. In other words, I realized that without a foundation in engineering basics, the first step is often where people get stuck.
- Terminal aversion
- Error messages are unreadable
- What even is Git?
I want to lower that barrier. With engineering fundamentals, you can master AI tools and put leverage on your own abilities. Once you can use Claude Code or Codex, the possibilities open up enormously. That’s why I decided to create this content.
Docs vs. Blog
Section titled “Docs vs. Blog”This site has two content formats: docs and blog.
Docs serve as a reference — organized knowledge you can return to whenever you need it. Concept definitions, tool guides, glossaries: content structured for accuracy and repeatability, grounded in facts rather than personal opinion.
Blog goes further. In addition to information, each post includes real experience, observations, and insight from actually doing the thing. The process of trial and error, what I noticed along the way, my take at a given point in time — My perspective and voice are part of the content. The goal is to convey the context and on-the-ground feel that official documentation alone can’t capture. The blog also covers the latest tech trends and release updates for tools and models, keeping up with the fast-moving AI landscape.
When you want to look something up like a dictionary, reach for docs. When you want to learn from someone’s experience, open the blog.
About the Author
Section titled “About the Author”Shiori
I work as an AI engineer and AI transformation lead at an IT company. After spanning business, design, data analysis, and product development, I transitioned into an engineering role off the back of the generative AI potential. I use generative AI every day and document what I learn here.
Feedback and content requests are always welcome on LinkedIn.