Harnesswalk: seeing inside an AI agent harness
An AI agent is more than a model call and a tool loop. Around that loop sit input guardrails, a context builder, memory, policy and approvals, output guardrails, tracing, evaluations and releases. You can read about those pieces in any architecture diagram. You rarely get to watch them work.