Kazene Trace Receipt Protocol is a minimal standard for recording structured receipts of AI-assisted creation, transformation, routing, and derivative events without storing raw content by default.

A minimal audit protocol for recording and classifying observed similarities between ideas, documents, systems, protocols, public events, or AI-generated interpretations.

Computational Pranayama Protocol is a protocol for reducing wasteful AI computation by aligning inputs and outputs, reusing prior computation patterns, pausing unnecessary external calls, and routing tasks to the lightest sufficient execution layer.

This repository focuses only on AI search trace receipts.