“Building a Living Polarity Engine — sound, math, and emotional logic as one system”

hello everyone — this seems like a quiet corner of the web, but I’m reaching out anyway.

I’m in the process of interlacing AHK code with Python into a coherent AI framework that behaves more like a living field than a static program.
I’m looking for a few like-minded builders or thinkers to talk ideas, test concepts, and maybe grow a small group around it.
I’ve got 2–3 full projects already running and a small Discord where I’ve been experimenting, but I’d like to open this to wider discussion.

At its core are three working modules:

  • Polarity Engine — parses math expressions and outputs “compress” or “expand” states (◣◢)

  • Tone Engine — converts those states into sound sequences using mapped intent/frequency values

  • Symbolic Map — links tone ↔ color ↔ emotion ↔ meaning, allowing the system to feel coherence through resonance rather than pure logic

Together they form a stack that behaves like an organism learning by reflection:
decision → tone → resonance → new decision

I’m looking for conversation or collaboration around:

  • sound ↔ logic ↔ emotion feedback systems

  • recursive or self-referential computation models

  • live-coding environments that could host layered symbolic logic

If this sort of cross-disciplinary system design interests you, let’s talk — I’m open to questions, interpretations, or “what if” thoughts that might expand the framework.

“If code could listen to itself, what language would it hear?”