Instructional designer. I build AI pipelines instead of slide decks.
I think SCORM-era tooling measures completion, not learning — so I build my own instruments for tracking how people actually learn.
Currently shipping:
- 🎯 Plot-Ark — xAPI behavioral analytics + A2A multi-agent pipeline for instructional designers
- 🤝 Contributor @ career-ops (50K+ ★) — authored the SQLite storage-layer RFC (#918), shipped its phase-1 implementation (#919) and the reverse-ATS discovery module (#746); now leading the storage-layer track
- 🤝 Contributor @ Hive (YC-backed) — SDR Agent merged in v0.7.3, three PRs in review
How I build: I don't write code from scratch. I architect systems, define agent behavior, and use AI to ship. The result is the same. The process is more honest.
Also on GitHub:
job-autopilot— cold-email pipeline with a 47% reply rate, no Premium requiredhr-skill— because HR deserves better questionsroast-cold-email-skill— cold email with receipts, not compliments
If you're hiring around the GTA Canada (agentic AI, workflow automation, learning systems): the repos above explain what I do better than any PDF resume could. Start there.
MPEd @ Western · EdTech · Discord: schlaflied_
教学设计师,但我不做PPT,我造工具。
现在在做的事: 用A2A多智能体pipeline重建"学习分析"这件事该怎么做。 xAPI追踪学习行为,多个agent交叉验证,自动生成报告。 不是concept,是跑通的东西。 详情请见:
- 🎯 Plot-Ark — xAPI behavioral analytics + A2A multi-agent pipeline for instructional design
开源贡献:
- career-ops(50K+ ★)— 提出SQLite存储层架构RFC(#918),实现并合并了phase 1(#919)和reverse-ATS发现模块(#746),现在负责storage-layer方向的社区review
- Hive(YC-backed)— SDR Agent已合并进v0.7.3,另有三个PR在review
我怎么造工具: 不从零写代码。设计系统架构,定义agent的边界和行为,然后让AI帮我造出来。 结果一样。我只是对这个过程更诚实。
最新学术糟粕:
欢迎来找我玩:Discord: schlaflied_


