Happy to answer any questions here — this is the first public demo of BSE (Bramble Semantic Engine), a token-level compression and multi-modal preprocessing system.

It extracts SVO structure + modifiers from natural language, compresses visual and auditory data into weighted semantic matrices, and returns structured input usable by LLMs or downstream models.

All components are live and testable. Ask me anything about the math, compression logic, or integration plans.