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jev-ai-use-cases

By atliq

Source description: Hands-on LangChain examples of Jev, TypeSafe AI's decision model: support ticket triage, model routing, reply guardrails, tool selection and finance-inbox fraud checks. An LLM writes; Jev decides.

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Repository description

The repository describes its purpose as: Hands-on LangChain examples of Jev, TypeSafe AI's decision model: support ticket triage, model routing, reply guardrails, tool selection and finance-inbox fraud checks. An LLM writes; Jev decides.

Source evidence

The daily check found an explicit Jev / TypeSafe AI connection in the original README and implementation files at the same commit.

Practical examples of using [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) (TypeSafe AI's decision model) in real applications, built with LangChain.

Automatically source-checked: public repository, pinned README, and implementation files. Not run, benchmarked or security-audited.

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