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AI News & Strategy Daily with Nate B. Jones
Managing AI Agents at Scale: The Human Work Nobody Counts
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What We Mean When We Say We Need an Agent
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.
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**.
- Why better agents can create more total work for people
- What expert Claude Code users do differently
- Why a $40 AI subscription cannot deliver full operational outcomes
- How nine seconds of agent action led to thirty hours of human recovery
- Why enterprises can absorb agent-management work differently than small businesses
- What it means for managers and workers to move above the loop
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