Harness is built for teams that want AI execution to look like a managed business system instead of a collection of isolated prompts.
The product direction is simple: if agents are going to participate in real delivery, teams need more than generation quality. They need ownership, routing, review paths, runtime visibility, and clear accountability when work moves across people and machines.
Harness provides that operating layer. It gives engineering, product, and operations a shared system for turning requests into structured execution, whether the work is handled by a teammate, a local daemon, or a managed runtime.
We focus on execution quality at the workflow level: bounded autonomy, visible handoffs, reusable operating knowledge, and a cleaner audit trail for every task that matters.