AI systems are really good at being helpful and terrible at noticing when "helpful" becomes "enabling harm." Good-Faith fixes this by teaching pattern recognition: passive voice hiding accountability, false collective manufacturing consent, weaponized care violating boundaries.

Intrinsic moral reflexes for AI systems — to detect and prevent cruelty, protect the vulnerable, and initiate human intervention (where available), before harm occurs.

Spiritually-governed AI framework based on the Mool Mantar. Includes MMAT benchmark and license.

This repo provides an open-source decision engine (7 criteria) for evaluating tech-ethics trade-offs, from inequality risk to legacy impact. Built for quick peer adaptation and policy pilots.