Repo · Support & inbox
jev-ai-use-cases
Hands-on LangChain notebook of TypeSafe Jev patterns: support triage, model routing, reply guardrails, tool selection, and finance-inbox fraud…
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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.
How builders describe it
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.
Hands-on LangChain notebook of TypeSafe Jev patterns: support triage, model routing, reply guardrails, tool selection, and finance-inbox fraud checks—“an LLM writes; Jev decides.”
LangChain notebook with runnable Jev examples for ticket triage, model routing, reply guardrails, tool selection and finance inbox checks.
The decision Jev makes
Pick the destination queue, set a priority, or decide whether an item needs a human.
Where it fits
Support and operations teams route work all day: which queue, how urgent, who handles it. Jev turns each routing step into a typed choice with a confidence score, so uncertain items go to a person. All 81 support & inbox projects →
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