We analyze the emergence of AI agents that think autonomously and collaborate beyond generative AI.
With technological barriers disappearing, we are entering an era of opportunity, not survival. AI Encyclopedia.
You can find the artificial intelligence knowledge you need at aiseries.oopy.io.

Developing computer programs? It wasn't realistic unless you were a professionally trained developer.
But things have changed.
This is because we have moved beyond the 'low code' environment, where little coding is required to create computer solutions or applications, to the 'no code' environment, where no coding is required at all.
The ultimate 'no code' is 'vibe coding'.
The term 'vibe coding' is a new word that first appeared in February 2025.
It started with a post by Andrej Karpathy, Tesla's head of artificial intelligence development, on his X account.
--- From 「01_“Vibe Coding” that Anyone Can Do」

Rather than having AI create everything from scratch, providing a basic template allows for more precise results. AI then builds upon this contextual scaffolding, adding the user's desired content or tools to create the final product.
You can also add files or data that the AI ​​will use to do its work.
A good example of handling errors in Vibe Coding is copying the error log and pasting it into the prompt window.
Error logs that appear in the terminal or browser console serve as the base context.
--- From "03_“Beyond Prompt to Context”"

Building applications in an AI agent-like manner allows all content provided by the app to be generated in multiple languages.
If fixed data such as menus and instructions displayed in the app are localized using the i18n method, and all dynamic service content is created by AI agents, people from any country can use the app in their own language.
No matter which country the app was created in.
--- From 「06_“Born-Global” from the beginning to the world」

AI can be used to create customer personas to identify target audiences in mass services.
In the past, customer bases were estimated through consumer research or data analysis.
In this way, potential customers who do not appear in existing surveys or data are often left uncaptured, leading to a contradiction.
In the era of generative AI, it is possible to automatically create expected customer personas based on customer data analysis.
AI precisely defines multi-layered customer groups, from the characteristics of existing customers to the predicted new customer base based on these characteristics.

--- From "09_“AI Agent App Development Principles 'Four Gets'"