Know exactly where every runtime outcome came from.

RuntimeProvenance.com names a critical layer of modern computing: capturing the lineage of events, inputs, transformations, decisions, and outputs as systems execute. Runtime provenance is already being applied to AI and scientific workflows, while emerging agent architectures use provenance to connect tool calls, retrieved evidence, memory, actions, and final results into an auditable execution history. :contentReference[oaicite:0]{index=0}

RuntimeProvenance.com could become an AI observability platform, execution-lineage engine, agent audit system, data provenance company, software supply-chain product, or infrastructure layer for reproducible autonomous systems. The concept is particularly strong for agentic AI: recent research identifies execution provenance as a way to connect evidence, tool use, memory, actions, and outcomes while improving debugging, auditability, safety, and recovery. :contentReference[oaicite:1]{index=1}