AI Business's coverage of agent harnesses gets at a problem enterprises are now running into: a powerful model is not the same thing as a controlled worker. Companies need coordination, permissions, observability, memory, and rollback around agents before they can trust them with business processes.
The word harness is still evolving, but the need is clear. Agentic systems have to manage tools, handoffs, errors, human approvals, and policy constraints in a way a raw prompt chain cannot reliably handle.
For builders, this is where the agent stack becomes real infrastructure. The winners will be the platforms that make autonomy auditable, interruptible, and measurable enough for security and operations teams to approve.
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