CASE FILE / Model & agent routing

Built a Grammarly-like Mac app with Jev

Built a Grammarly-like Mac app with Jev. Jev is TypeSafe’s first “System One Model”, built for fast, structured decisions rather than generating text like an LLM. I wanted to see how fast that feels in a real app. https://t.co/XIFYnHXO7Y

By Niels Mouthaan @nielsmouthaan

● ● ●CASE FILEGUIDE

Niels Mouthaan · @nielsmouthaan

Original post

Built a Grammarly-like Mac app with Jev. Jev is TypeSafe’s first “System One Model”, built for fast, structured decisions rather than generating text like an LLM. I wanted to see how fast that feels in a real app. https://t.co/XIFYnHXO7Y

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Chinese translation

与Jev一起构建了一个类似格莱美的Mac应用程序。 Jev是TypSafe的第一个“System One模型”，旨在快速、结构化的决策，而不是像LLM那样生成文本。我想看看在真正的应用程序中感觉有多快。https://t.co/XIFYnHXO7Y

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