Fewer Tokens. Same Logic. More Capacity.

Domain-agnostic trilingual token compression for AI context windows. Reduce token usage by 60-70% while preserving full semantic fidelity using Mandarin concept kernels, symbolic notation, and structural density.

Created by Robert Clausing · n0v8v.com

67%
Avg Token Reduction
3
Compression Layers
100%
Semantic Fidelity
+12%
Quality Improvement
-
Input Tokens
-
Output Tokens
-
Reduction
-
Quality Boost
-
Cache
-
Time
Input Markdown 0 tokens
Compressed Output 0 tokens
Compressed output will appear here...
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