Nate B Jones distinguishes a one-off assistant interaction from a recurring, tool-using workflow and argues that responsibility matters more than the label. He describes the risks of stale sources, inappropriate permissions and plausible but unchecked output.
He proposes four practical elements: define the job, curate the information the agent reads, set boundaries on its actions and establish a review loop. A product team example illustrates how a product manager can review agent-prepared backlog materialHuman-in-the-loop AI keeps a person involved in reviewing, correcting, approving, or guiding an AI system's work. and improve its inputs after a sprintAn AI feedback loop occurs when AI outputs or their consequences become inputs that influence later model or agent behavior..
For teams using several agents, he suggests a simple roster or owner card recording each agent’s owner, sources, permissions, review cadence and likely failure modesGovernance sets responsibilities, rules and oversight for decisions about how AI systems are used..
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