{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69ab3b7c7036d739021982df/6a8f366d0c15e359f98c25eb?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Managing AI Agents at Scale: The Human Work Nobody Counts","description":"<p>What We Mean When We Say We Need an Agent</p><p><br></p><p>Agents were supposed to take work off our plates. Instead, as agent usage grows, people are taking on a new layer of work: choosing what runs, supplying context and permissions, checking results, interrupting failures, and deciding what happens next.</p><p><br></p><p>In this episode, Nate Jones examines how that agent-management burden changes across individuals, small businesses, and enterprises. The examples range from OpenRouter and Codex usage to Anthropic's Claude Code research, small-business AI spending, the PocketOS and Railway recovery story, and the emerging idea of working **above the loop**.</p><p><br></p><p>- Why better agents can create more total work for people</p><p>- What expert Claude Code users do differently</p><p>- Why a $40 AI subscription cannot deliver full operational outcomes</p><p>- How nine seconds of agent action led to thirty hours of human recovery</p><p>- Why enterprises can absorb agent-management work differently than small businesses</p><p>- What it means for managers and workers to move above the loop</p><p><br></p><p><br></p>","author_name":"Nate B. Jones"}