把 Jev 接进后端做上下文打分过滤
开发者把 Jev 集成进系统层,用它在 500ms 内对非结构化状态输出类型化决策,先打分过滤上下文再交给 Claude,告别解析坏 JSON。
I finally integrated TypeSafe AI's new Jev model directly into my system layer, and the era of begging LLMs for valid JSON is officially over. I was tired of broken parsing pipelines silently crashing my apps. Jev just takes unstructured state and outputs a clean, typed decision in under 500ms. I'm using it right now at the core of my backend to instantly score and filter context before passing it over to Claude, and it behaves exactly like a standard function call in my codebase. If you're building micro-SaaS, this is how we stop wrestling with unpredictable text generators and start engineering actual systems. #TypeSafeAI #Jev #SoftwareArchitecture #BuildInPublic