INKLINGYOSHI
AI native one person company
AI 原住民的一人公司
AI Native AI 原住民 Builder 构建者 Actionist 行动派

Young Builder. Real Shipping.

少年建造者,真实交付。

I build like a compact one person company: learn fast, ship fast, and keep compounding across AI, Minecraft, and software.

我像一个紧凑型的一人公司一样持续构建:快速学习、快速交付,并在 AI、Minecraft 和软件之间不断积累能力与作品。

Age / Grade
年龄 / 年级
14 / Grade 8
14岁 / 八年级
Minecraft Years
Minecraft 年限
8+
AI Products
AI 产品
2 Apps
2 个应用
Launchpad
入口面板

One Place To Open The Work

一个页面,统一打开我的构建入口

Repositories, mod profile, and AI products - organized like an operating surface, not a link dump.

GitHub、Modrinth 与 AI 产品入口统一组织,不是链接堆砌,而是一个真正可操作的入口界面。

Platform
GitHub
Public code, experiments, and the visible trail of how I build.
公开代码、实验项目,以及我如何持续构建的可见轨迹。
Code Repos Build Trail
Platform
Modrinth
Minecraft mod profile, shipped work, and game-side building in public.
Minecraft mod 主页、已上线作品,以及我在游戏侧的公开构建记录。
Minecraft Mods Shipping
Product
AI Study Assistant
A structured learning workflow product built around PDCA and self-learning growth.
一个围绕 PDCA 与自主学习成长设计的结构化学习工作流产品。
PDCA Learning AI
Product
AI Notebook
Camera-first note organization, mind maps, and automatic mistake books.
以拍照为入口的笔记整理、思维导图与自动错题本工具。
Notes Mind Maps Review
About
关于我

A Personal Site With Real Signal

一张带有真实信号的个人主页

Not a student resume. A profile built from shipping, learning in public, and stacking real capability early.

这不是学生简历页,而是一个通过持续交付、公开学习和提前积累真实能力建立起来的个人形象页面。

Who I am 我是谁

I am a 14-year-old 8th grader building across AI, Minecraft, and software. I work like a compact one person company: research, code, ship, improve, repeat.

我是一名 14 岁的八年级学生,正在 AI、Minecraft 和软件构建之间持续实践。我更像一个紧凑型的一人公司:研究、编码、交付、优化、再迭代。

I am AI-native by default. I use AI not as decoration, but as working infrastructure for learning, building, and execution.

我是典型的 AI 原住民。我使用 AI 不是为了装饰,而是把它当作学习、构建与执行层面的工作基础设施。

8-year Minecraft player and private server maintainer 8 年 Minecraft 玩家,维护私有游戏服务器
Member of a US mod development group with shipped work 加入美国 mod 开发小组,已有作品上线
Built two AI learning tools and secured one software copyright 开发两款 AI 助学工具,并取得一项软件著作权
Passed Microsoft Azure AI-102 through self-study in English 七年级自学全英文通过微软 Azure AI-102
Projects / Products
项目 / 产品

AI Products Built For Learning

面向学习场景构建的 AI 产品

Not demos. These are learning products built around structure, feedback loops, and lower friction.

这些不是演示,而是围绕结构化学习、反馈闭环和降低摩擦真实构建出来的产品。

Product 01
产品 01
AI Study Assistant
AI 学习助手

A PDCA-based learning workflow tool for planning, doing, checking, and adjusting with more structure and less friction.

一个围绕 PDCA 设计的学习工作流工具,帮助学生更系统地制定计划、执行学习、检查反馈并持续调整。

Builds reflection loops, not just answer generation. 强调学习复盘闭环,而不只是“给答案”。
Designed to improve self-learning over time. 目标是持续提升自主学习能力。
Turns AI into a structured learning companion. 让 AI 成为结构化的学习伙伴。
Product 02
产品 02
AI Notebook

A camera-first study tool that turns photos into organized notes, mind maps, and automatic mistake books.

一个以拍照为入口的学习工具,可将照片快速转化为整理后的笔记、思维导图和自动错题本。

Photo notes become structured study material. 笔记拍照后自动转成结构化学习材料。
Exam papers become searchable review assets. 试卷拍照后自动转为可复习的错题资产。
Built for speed, clarity, and lower review friction. 为更快整理、更清晰复习和更低学习摩擦而设计。
Company Logic
公司逻辑

AI Native. One Person Company.

AI 原生的一人公司。

A compact operating system for building, learning, shipping, and compounding.

一个围绕构建、学习、交付和复利成长运转的紧凑型个人操作系统。

The model 这个模型是什么

Product thinking, code, AI workflows, English access, infrastructure, and self-upgrading in one stack.

把产品思维、代码实现、AI 工作流、英语能力、基础设施和自我升级集中在一个人的执行系统里。

Builder Operator Researcher Shipper

AI native edge AI 原生优势

AI is not a feature. It is core infrastructure for thinking, research, and execution.

AI 不是附加功能,而是思考、研究和执行层面的核心基础设施。

Why it matters 为什么值得关注

The signal is early. The execution density is real.

起点很早,但真正重要的是执行密度已经开始形成。

NOT WAITING TO GROW UP. BUILDING NOW.
不是等长大再开始, 而是现在就开始构建。
signal / speed / execution
信号 / 速度 / 执行
Timeline
时间线

Milestones

里程碑

A short line of signals that show how learning, language, and shipping started compounding early.

这条时间线展示了学习、语言能力与实际交付如何在较早阶段开始形成叠加效应。

Grade 5
五年级
IELTS 7.0
雅思 7 分

Early English strength became a core learning advantage.

较早建立的英语能力,成为后续自学的重要优势。

Grade 7
七年级
Passed Microsoft AI-102
通过微软 AI-102

Self-studied in English and passed Azure AI certification.

基于全英文材料自学并通过微软 Azure AI 认证。

Grade 8
八年级
Passed CPE at C2
通过 CPE,达到 C2

English is now a practical execution advantage.

英语已经成为真实可用的执行力优势。

Now
当前
Harness Engineering + OpenClaw
Harness Engineering + OpenClaw

Moving from tool use to system design.

正在从“使用工具”走向“设计系统”。

Execution Map
执行版图

Capability Stack

能力版图

Different domains, one pattern: learn fast, build systems, and keep shipping.

不同领域,同一模式:快速学习、搭建系统、持续交付。

AI Built two AI learning apps and secured one software copyright. 已开发两款 AI 学习应用,并取得一项软件著作权。
Language IELTS 7.0, CPE C2, and fluent access to global technical resources. 雅思 7 分、CPE C2,可直接使用全球技术与学习资源。
Minecraft 8-year player, private server maintainer, US mod team member, shipped work. 8 年 Minecraft 玩家,维护私有服务器,加入美国 mod 开发小组,已有作品上线。
AI English Gaming Coding Sports Research
Traits
个人特质

Builder Mindset, Athlete Spirit

建造者心态,运动员精神

The style behind the work: action, structured curiosity, and long-term discipline.

这些作品背后的风格来自行动力、结构化的好奇心,以及长期训练带来的纪律性。

Action over talk 行动优先

Less theory. More shipping.

少空谈,多交付。

Structured curiosity 有结构的好奇心

Explore deeply. Turn insight into systems.

深挖兴趣,再把理解变成系统。

Athlete discipline 运动员纪律

8 years of baseball means repetition, resilience, and composure.

8 年棒球训练意味着重复打磨、韧性和稳定心态。