Context Layer
A Pro plan that does Max's work.
On every prompt, CoherentKey injects the smallest relevant slice of your codebase — the matching functions and classes, never whole files — so the model already has what it needs for a fraction of the tokens. A live meter shows exactly what you saved.
Minimal context, automatically
A UserPromptSubmit hook assembles the matching functions/classes for your prompt and injects them, so the model never burns tokens reading whole files. Keyword-ranked — instant, no model to load.
A live token meter
Every prompt shows tokens injected vs tokens saved, and the running session total — sentinel-suite meter. You watch the savings add up.
Measured, not claimed
A structural question costs 8–13× fewer tokens than grep-then-read. A whole 16-prompt developer session runs 70.6% leaner — with an enforced 60% floor in the benchmark.
Scales to 50M lines
The engine streams a 5-crore-line codebase without loading it into memory: 2.4× faster ingestion and on-disk vector search that's 50–3,400× faster than the naive scan.
Real benchmark — cumulative tokens, files read once vs minimal context.