Under research

Agent execution traceability

Users cannot trust an agent when they cannot see what it is doing, waiting for or failing on.

Why it matters

Live trace improves diagnosis, governance and user confidence.

Architecture position

Expose stage, evidence source, tool call, policy decision, latency and failure state without leaking secrets.

Evidence or hypothesis

Recurring need observed in agent workflow and telemetry design.

Related publication

Governed AI operating layer

Related product

CapAI Agent Hub

Next intended output

Define a vendor-neutral trace schema.