Jonathon McReynolds
Army veteran · Cancer survivor · Autodidact physicist/engineer
Founder of Inaugural Systems
I build physics, AI, and systems software from first principles — with a focus on geometry, invariants, and dynamic computation. My work centers on replacing static, opaque AI with systems that understand their own stability, momentum, and structure.
A geometric programming language where every variable is a vector in spacetime with history, momentum, and stability.
MIT Licensed • Actively developed
- Dynamic computation instead of static graphs
- Scalar stability metrics for every execution step
- Invariant-based logic (IS, OF, projection operators)
- Designed for clarity, transparency, and correctness
Repo: Inaugural Physicist / EigenScript
I founded Inaugural Systems to build AI from invariants, not heuristics.
Our stack:
- EigenScript — geometric systems language (public)
- iλAi — Eigen-based dynamic AI engine (private)
- Eigen Runtime & Research Modules (private)
Org: github.com/InauguralSystems
“The truth doesn’t move — our position relative to it does.”
- AI should be dynamic, not static
- Systems should be able to feel their own stability
- Geometry is the most honest language of structure
- State machines are the clearest logic humans ever made
- Observation is constraint
I build tools that make these principles executable.
- Python (core language work, interpreters, symbolic engines)
- C++ / Rust (runtime backends)
- GitHub Actions (automation + testing)
- Textual (terminal UI frameworks)
- Geometric algebra, invariants, projection logic
- X (Twitter): https://x.com/InauguralPhys
- Medium: https://inauguralphysicist.medium.com
- Email: InauguralPhysicist@gmail.com
- Company Email: InauguralSystems@gmail.com
If you want to support the development of EigenScript or the research behind iλAi, stars and follows are appreciated. I publish everything I can openly — the rest lives in the Inaugural Systems org until release.
Building systems that understand themselves.