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意大利·米兰Milan, Italy

AI 工程师与产品构建者AI Engineer & Product Builder

构建实用的 AI 工具、Agent 工作流与优雅的 Web 产品。Building practical AI tools, agent workflows, and elegant web products.

AI 工程师AI Engineer
产品构建者Product Builder
自动化设计者Automation Builder

可接Availability

目前接受少量高匹配度的合作项目与长期协作。Open to selected client work and long-term collaborations.

实用 AI 工具Practical AI tools
Agent 工作流Agent workflows
优雅 Web 产品Elegant web products
清晰交接Structured handoff

精选项目Selected Work

真正能落地的执行证明Proof of execution

Kizuna IndexKizuna Index

2026

把分散的参考资料整理成一个可维护、可持续发布的索引表面。A living index that turns scattered references into a maintainable publishing surface.

Next.js
TypeScript
MDX
Tailwind CSS

米兰活动系统Milan Event System

2026

为小型社区活动提供从策划、邀请到跟进的一条轻量工作流。A small-community event flow for planning sessions, invites, and follow-up without heavy admin overhead.

Next.js
TypeScript
Tailwind CSS
Resend

AI 本地博客编辑器AI Local Blog Editor

2026

一个面向技术写作的本地编辑与发布工作流,支持 AI 辅助起草与修订。A local editing workflow for drafting, revising, and publishing technical posts with AI assistance.

Next.js
TypeScript
MDX
OpenAI API

能力范围Capabilities

我能做什么What I can build

AI 应用原型设计AI Application Prototyping

把一个 AI 产品想法落成可评审、结构清晰的原型。Turn an AI product idea into a reviewable prototype with clear structure.

  • - 原型范围Prototype scope
  • - 用户流程草图User flow sketch
  • - 技术验证Technical spike
查看服务详情Service details

Agent 工作流设计Agent Workflow Design

设计可理解、可控、可复盘的 Agent 回路。Design agent loops that stay understandable, controllable, and reviewable.

  • - 工作流地图Workflow map
  • - Prompt 与工具设计Prompt and tool design
  • - 失败模式说明Failure mode notes
查看服务详情Service details

个人 / 品牌网站Personal / Brand Websites

为独立工作、案例研究与写作建立可维护的网站系统。A maintainable web presence for independent work, case studies, and writing.

  • - 信息架构Information architecture
  • - 类型化内容模型Typed content model
  • - 首页与路由壳Homepage and route shell
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内容系统与本地编辑器Content Systems & Local Editors

在内容模型稳定前,保持本地可编辑,而不是过早引入 CMS。Keep content editable locally without forcing a CMS before the model is stable.

  • - 内容 schemaContent schema
  • - 本地编辑流程Local editing flow
  • - 发布说明Publishing notes
查看服务详情Service details

轻量后台工具Lightweight Admin Tools

为活动、收集、跟踪和协同提供窄而清晰的内部工具。Small internal tools for events, intake, tracking, and coordination.

  • - 后台流程Admin workflow
  • - 数据录入界面Data entry screens
  • - 审核状态Review states
查看服务详情Service details

部署与集成支持Deployment & Integration Support

发布到 Vercel,并把产品真正需要的服务接起来。Ship to Vercel and wire in the services the product actually needs.

  • - 部署设置Deployment setup
  • - 集成清单Integration checklist
  • - 环境说明Environment notes
查看服务详情Service details

案例研究Case Studies

工作是怎样真正落地的How the work lands

把静态索引改造成可维护的 AI 辅助发布工作流Turning a Static Index into a Maintainable AI-Assisted Publishing Workflow

独立产品项目Independent product build

一个无需先上 CMS、却能让笔记、来源与草稿输出保持对齐的发布系统。A publishing system that keeps notes, sources, and draft output aligned without forcing a CMS.

写作与参考材料可以在一个简单表面里流动,而不再散落在临时文件之间。Writing and reference material could move through one simple surface instead of being split across ad-hoc files.

打开案例研究Open case study

为小型社区设计一个活动管理系统Designing an Event Management System for a Small Community

小型社区 / 本地组织者Small community / local organizer

一个覆盖活动收集、提醒与跟进的轻量协调层。A small coordination layer for event intake, reminders, and follow-up.

人工追问更少,活动从策划到事后跟进的路径也更清晰。Less manual chasing and a clearer path from event planning to post-event follow-up.

打开案例研究Open case study

写作Writing

值得留下来的技术笔记Notes worth keeping

用本地工具和云模型搭建个人 AI 工作台Building a Personal AI Workbench with Local Tools and Cloud Models

一个实用的 AI 工作环境:能起草、测试和发布,又不会把流程缠在一起。A practical setup for drafting, testing, and shipping AI work without letting the workflow get tangled.

ai-agent
automation
codex
阅读全文Read article

为技术作品集网站设计真正有说服力的案例研究Designing Case Studies for Technical Portfolio Sites

怎样组织案例研究,才能证明判断力,而不只是展示结果。How to structure a case study so it proves judgment, not just output.

portfolio
case-study
writing
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把 KizunaIndex 做成公共索引之后,我学到的几件事Lessons from Building KizunaIndex as a Public Index

公共索引真正有用,往往不是因为页面多复杂,而是因为内容模型足够小、足够清楚、足够容易改。A public index gets more useful when the content model is small, explicit, and easy to revise.

nextjs
data-modeling
public-index
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流程Process

我如何推进工作How I work

01

先把问题、边界和成功标准说清楚。Clarify the problem, scope the boundary, and define what success looks like.

02

设计最小可用系统,保留审阅点和清晰的数据形状。Design the smallest useful system with review points and clean data shapes.

03

先发可迭代版本,再记录该保留什么、该删什么。Ship with room for iteration, then document what to keep and what to trim.

04

留下比替换它更容易维护的交接。Leave behind a handoff that is easier to maintain than to replace.

关于About

先是构建者,其次是写作者,需要时也能把系统运转起来。Builder first, writer second, operator when needed.

我构建结构清晰、可持续交接的 AI 工具、Agent 工作流与 Web 产品。I build practical AI tools, agent workflows, and elegant web products with clear structure and durable handoff.

了解更多More about me
AI 工程AI Engineering
前端系统Frontend Systems
自动化Automation
技术写作Technical Writing

联系Contact

有值得认真解决的问题吗?Have a useful problem to solve?

目前接受少量高匹配度的合作项目与长期协作。Open to selected client work and long-term collaborations.