model-task-engineering
Tune and validate a provider/model task in Kitsoki with a controlled, repeatable harness. Use when a model performs poorly on a story step, when a provider quota/rate behavior needs task hardening, or when the user asks to improve GLM/GPT/Claude performance with traceable artifacts. Produces an offline-scored benchmark report, a Slidey deck, and concrete story/prompt/tool changes without calling live LLMs from tests.
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- constructorfabric/Kitsoki
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