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.

A protocol for AI computational metabolism: breathing, kata reuse, route selection, trace attachment, and return flow to reduce overcompute and preserve origin.