This is HUQAN’s current Trust Receipt Explorer in the local demo. For a high-risk refund-policy claim, the demo preserves: — the receipt ID; — verification status; — target and workspace; — policy version; — the REVIEW verdict; — the requirement for human approval; — evidence hashes and decision context. The important point is not the 0.99 confidence value. The important point is that the decision is not reduced to a model response. The system exposes what was checked, which policy applied and whether approval is still required. This is an early local, deterministic demo surface — not a production deployment, independent benchmark or claim that agent governance is solved. Our next step is to connect policy checks, tool-call controls, audit events and evidence receipts in one small workflow that can be inspected end to end. What would you want to replay first when reviewing an agent decision: the evidence, the policy snapshot, the approval event or the final tool call? #AIAgents #TrustInfrastructure #BuildingInPublic #OpenSource