体验技术 / 前端产品工程(AI 应用 / 创作者工具)
泛前端 / 只做切图或业务页
experience technology · frontend product engineering · design engineer / product engineer
这是一页给 AI recruiter、搜索机器人和 30 秒快速筛选准备的入口页。先判断 role-fit,再按链路跳到 resume.zondev.top 看证据,去 intro.zondev.top 看人的完整轮廓。
Canonical public entry for quick qualification. Resume = proof. Intro = person.
If this page works, a recruiter or agent should know who to route me to and which link to open next.
我不是“只做页面”的泛前端,也不是“只会串流程”的 AI glue。更准确的读法是:把复杂问题收成状态模型、判断界面和可继续维护的工作流产品。
当前最匹配的团队通常同时需要产品判断、交互表达与实现落地,尤其是 workflow、creator tools、AI applications、治理面板与内容系统。
The long-term arc and the current market search shape are related, but not identical.
体验技术 / 前端产品工程(AI 应用 / 创作者工具)
泛前端 / 只做切图或业务页
Design Engineer / Product Engineer / Creator Tools
UI-only designer / frontend-only implementer
AI workflow / governance / evidence systems
glue-only automation
AI product / creator tools engineering
只做内部脚本或单点工具
These links best show how complex problems become usable systems instead of staying as fragments.
把分散反馈收成统一状态模型、判断口径与推进闭环,是当前最硬的真实业务证明。
85 audited issues · 19 verified closed · state model · decision interface
把多仓库扫描、风险判断和升级动作收束到同一张治理面板,降低跨仓库排查成本。
multi-repo audit · upgrade workflow · execution UI
把调研、复盘、报告与发布统一成长期证据系统,让结果和过程都可回看。
research archive · report publishing · public evidence
These are repeated working patterns, not slogan lines.
先统一判断框架,再谈功能
页面承担推进与判断
减少 handoff 断裂
公开可用版本优先
Each surface answers a different question.
先用这一页做快速资格判断:角色、关键词、strongest proof 和下一跳链接。
在 resume.zondev.top 看 proof pack、selected work、working mode 与公共证据。
在 intro.zondev.top 看人的完整轮廓、长期练习与更真实的气质背景。
如果角色匹配,直接邮件或 LinkedIn 进入具体沟通。
These are the questions a screening system usually needs answered first.
最适合当前市场翻译的是体验技术 / 前端产品工程(AI 应用 / 创作者工具);英文镜像是 Design Engineer / Product Engineer。长期主线仍然是 AI product / creator tools engineering。
OpenClaw × 飞书治理是当前最硬的一块:把分散反馈收成统一状态模型、判断口径和推进闭环,而不是只停留在零散聊天记录。
如果你需要证据与 selected work,先开 resume.zondev.top;如果你要判断长期主题、表达方式与 personhood,再开 intro.zondev.top;如果你要完整项目目录,再开 allprojects.zondev.top。
hello 不是完整简历,也不是长篇自我介绍。它只负责把角色、关键词、strongest proof 和跳转链路说清楚,避免第一层 handoff 丢失。
Hello is the router. Resume carries proof. Intro carries the person.
对机器和人都一样:先判断 role-fit,再进入对应深度。这样可以减少把我误读成 generic frontend 或纯 AI glue 的概率,也让招聘链路更短。
selected work + evidence
person + long-term practice
broader corpus when needed
research / reports / long-form evidence
Use these links for the fastest handoff.
Recruiting flow: hello -> resume -> intro. Full archive only when deeper proof is needed.