Simon Willison's account of prompting Claude to manage its own compute costs points to a broader, second-order trend: the user-as-infrastructure-manager. As AI agents become more capable, a significant portion of user effort may shift from direct task execution to meta-management—prompting, routing, and resource allocation. This arguably creates a new layer of complexity, where the efficiency of an AI workflow depends as much on the user's system-design skills as on the model's raw capabilities. In our view, this could lead to a bifurcation between power users who can architect these cost-effective systems and those who simply burn through credits.
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Anthropic users delegate coding tasks to cheaper AI models, report says
A Claude Code user shares a prompt to have the AI decide when to use lower-cost models for implementation work.
AIpressr commentary on an article originally published by Simon Willison.
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Read the original article at simonwillison.net →Source: Simon Willison, simonwillison.net — Jul 3, 2026
“"For all coding tasks use your judgement to decide an appropriate lower power model and run that in a subagent."”
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