CASE FILE / Model & agent routing

we spent 3 years learning how to write prompts Jev from @typesafeai brea…

we spent 3 years learning how to write prompts Jev from @typesafeai breaks big prompts into smaller decisions you can build around instead of one giant prompt hoping the model gets everything right, you ask smaller questions: - is this urgent? - is this billing? - does a human need this? then combine the answers in your own code less prompting, more building

By Veee @vikktorrrre

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Veee · @vikktorrrre

Original post

we spent 3 years learning how to write prompts Jev from @typesafeai breaks big prompts into smaller decisions you can build around instead of one giant prompt hoping the model gets everything right, you ask smaller questions: - is this urgent? - is this billing? - does a human need this? then combine the answers in your own code less prompting, more building

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Chinese translation

我们花了3年时间学习如何写提示 @typesafeai的Jev将大提示分解为您可以围绕的较小决策你不是一个巨大的提示，希望模型一切顺利，而是问一些更小的问题： - 这很紧急吗？ - 这是账单吗？ - 人类需要这个吗？然后将答案合并到您自己的代码中少一些提示，多一些建设

What this case shows

Let JEV choose the model or tool first
Auto-route on high confidence, escalate otherwise
This is the most common production pattern