yui-AI-OS: An Intent-Oriented Operating System Architecture and Execution Model for the AI Era

This paper proposes yui-AI-OS as a strong candidate for a new class of operating system required in the age of artificial intelligence. The central claim is that AI-era computation cannot be adequately described as either conventional program execution or autonomous agent behavior. Instead, it should be understood as intent-oriented execution: a process in which a human user expresses an intention as a Job, an Intent Analyzer and Job-to-Task Planner transform it into an explicit Task Plan, and an Orchestrator coordinates AI, deterministic programs, external tools, and human judgment through controlled execution gates. In this view, the Task Plan becomes an executable intermediate representation for AI-era work, Task Definition Libraries become the standard libraries of procedural knowledge, Human Executors become first-class components of the operating environment, and Result Evaluators assess not only task completion but also intention satisfaction. The paper positions yui-AI-OS relative to agent frameworks, LLM-based agent operating systems, computer-use benchmarks, skill libraries, and human-in-the-loop AI. It argues that current agent frameworks provide important building blocks but do not yet fully address the central engineering problem: how to externalize user intention, preserve responsibility boundaries, govern execution, and accumulate reusable task knowledge. A simulator-based development path is also proposed. The yui-AI-OS simulator allows researchers and practitioners to experience the future operating system before full implementation by simulating Intent Analysis, Task Planning, Human Review Gates, Save Gates, and execution logs inside an AI dialogue environment. The paper concludes that yui-AI-OS is not merely another agent framework but a conceptual redefinition of the operating system for the AI era: an intent-oriented, human-accountable, knowledge-accumulating execution substrate.