Stop Thinking of AI as a Coworker. It's an Exoskeleton.

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The 'AI as autonomous agent' framing sets teams up for disappointment. A better mental model is the exoskeleton: AI that amplifies human capability rather than replacing human judgment. Drawing on real-world exoskeleton deployments in manufacturing, military, and healthcare, the post argues that AI tools should handle repetitive, high-volume tasks while humans retain decision-making authority. This is illustrated through Kasava's product graph approach, which combines automated ingestion of codebases, commits, and tickets with human-supplied strategic context. A micro-agent architecture is proposed: decompose roles into discrete tasks, build focused agents for each, keep humans in the decision loop, and make failure points visible.

11m read timeFrom kasava.dev
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Table of contents
The Exoskeleton ModelThe Ontological Problem with "AI Agents"What This Looks Like in Product DevelopmentWhy "Autonomous Agents" Often Fail (And How the Product Graph Fixes It)The Micro-Agent ArchitectureThe Productivity NumbersThe Future Isn't Autonomous: It's AmplifiedSources
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