rawctx Answer Proof

rawctx is an answer evidence layer that gives evidence of what official criteria, sources, and model execution contexts the AI responses to customers are based on. Enterprises can keep and verify answers from customer-facing chatbots, AI analysts, and copilots as question hash, answer hash, semantic refs, and prof bundle rather than just logarithms. rawctx does not guarantee the truthfulness of the answers, as it is not the layer to judge the model's outcome. Instead, it shows what criteria the answers were bound to, have not changed since, and can be verified by external anchors and witnesses. This makes it easier for security, law, customers, and auditors to review AI answers and obtain the evidence needed to approve them.

demo log : https://github.com/pasar6987-create/rawctx-demo-audit-log/blob/main/rawctx-proof-b9cd74b0-03d9-4416-9eb4-91b5e093eeeb.json