[P] I built a state-machine architecture for auditing AI decisions instead of just moderating outputs

Most AI safety systems still operate at the edges of the pipeline: input -> model -> output moderation I wanted to explore a different approach: govern the decision process itself. I built an open-source prototype called Rebis: Rebis treats decision-making as a staged governance system rather than a one-pass generation pipeline. A candidate decision moves through explicit checkpoints before it can become a final output or a deployment action. The phase names are alchemy-inspired, but the implementation is not mystical. The alchemy framing is mostly a naming system for staged transformation.