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Use this resource to choose an AI model and design its evaluation
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In a terminal, from the folder you want:
npx --yes palatekit@latest install ai-model-evaluation-subagentFirst time: connect the CLI with
npx --yes palatekit@latest loginThis subagent sets success criteria, budget, latency and compliance constraints, then compares candidate models. It designs statistically sound benchmarks and tests regressions after release. It checks the current model lineup before recommending anything. The main agent hands it model selection for a specific task.
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Updated November 2, 2026
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“Compare these three models to summarize our support tickets, under 2 seconds and a $500 monthly budget.”

Subagent published by davila7 under the MIT license, delivered in its original version.
Listed unmodified
« model-evaluator » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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