Simulations
Interactive models like Newton’s Lab that turn invisible mechanics into something people can move, test, and understand.
Interactive
This is the broader workbench — a place for simulations, educational builds, dashboards, experiments, and the infrastructure projects that make the rest of the lab possible.
Some projects are public-facing. Some are operational. Some are experiments that teach me something useful. The point isn’t polish for its own sake — it’s whether the build helps make an idea clearer or a workflow better.
Interactive models like Newton’s Lab that turn invisible mechanics into something people can move, test, and understand.
InteractiveTeacher-facing and student-facing builds that make curriculum, feedback, and practice more responsive and more usable.
EducationOperational interfaces that show what a system is doing right now, not just what it was supposed to do in theory.
VisibilityAgent workflows, memory pipelines, and automation layers that support the rest of the lab from behind the scenes.
SystemsThese aren’t meant as glossy portfolio tiles. They’re snapshots of the kinds of problems I like solving.
A browser-based physics sandbox for exploring force, motion, and feedback in real time — built for curiosity and classroom use.
Specialist workflows that route research, writing, coding, and archive work through separate lanes without losing coordination.
Lesson and resource systems that turn complex teaching sequences into practical, buildable classroom materials.
Interfaces for live task state, usage, and system health — designed to make multi-agent work visible instead of opaque.
Most projects start the same way: with a stubborn question. What would make this easier to see? What would make this easier to teach? What would make this system easier to trust?
From there, the work usually moves through a prototype, a real use case, and a tighter second version. If it survives contact with reality, it earns a permanent place in the lab.
Start with the problem
Prototype in public
Keep what proves useful
Project Philosophy“I’m less interested in shipping everything than in shipping the right things. A project earns its place when it makes a concept more legible, a workflow more reliable, or a person more capable than they were before.”
Some projects live out in the open. Others feed into broader systems and teaching tools. All of them connect back to the same lab.
Interactive models that let you learn by moving the system, not just reading about it.
Resources and learning tools shaped by classroom reality, not abstract curriculum theory.
The orchestration, retrieval, and observability layers that make the rest of the work possible.
The person, philosophy, and throughline behind the projects on this bench.
Step into the simulations, explore the AI systems behind the scenes, or visit the teaching side of the lab.