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Vimes Boots and why the right AI evals could save your project

The article uses the Vimes Boots analogy from Terry Pratchett to argue that focusing solely on cheap per-token cost for AI models can be misleading for agentic workloads. It advocates for domain-specific evaluations, such as generating bank payment code, to measure true cost per successful delivery, as vendor incentives may not align with user efficiency.

SourceHacker News AIAuthor: phoughton
Vimes Boots and why the right AI evals could save your project
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Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • The Vimes Boots analogy: cheap boots cost more overall, similar to AI model selection.
  • AI agents consist of an LLM and a harness; token-based pricing may encourage inefficiency.
  • Domain-specific evals (e.g., IBAN validation code) reveal true cost per successful task.
  • Consider total cost of ownership and cost per successful delivery, not just headline token price.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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