I’m an independent self-taught developer based in Haifa, working on Garmon, an early research prototype around body-born meaning before LLM speech.

My current focus is public-safe framing: how a pre-speech layer in an LLM-based system might make body-contour candidates, meaning candidates, and passive context more inspectable without turning them into command authority, memory, behavior, truth, or implementation permission.

Garmon is not presented as a finished agent, product, autonomous system, or proof of subjective experience. The public version does not expose private code or internal architecture.

My background is non-academic. I learn mostly through practical work, independent study, and AI-assisted engineering review.

Right now I’m mainly looking for clear, critical feedback on whether the public framing is understandable, modest, and safe.

Public repository:
https://​​github.com/​​garmon-gca/​​garmon-world