awesome-jev-by-typesafe

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Evidence-backed use cases, patterns, prompts, and starter code for TypeSafe Jev — a System One model for fast, typed, confidence-aware decisions in software.

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Evidence-backed collection of use cases, patterns, prompts, and starter code for TypeSafe Jev, a System One model that returns typed Choice/Score/Noul answers with probabilities and confidence for classification, routing, scoring, and guardrails. Includes Python and TypeScript quickstarts.

Use Cases

Support ticket intent classificationConfidence-gated automation and fallback routingLLM guardrails with probability thresholdsDocument type and risk categorizationOrdered rubric scoring (e.g. sentiment, frustration)Boolean condition checks for verificationSemantic routing between models and toolsReranking and semantic search signalsStructured extraction into fixed answer spacesCoding agents using Jev as a typed decision toolCustomer support triage and escalationChoosing between deterministic rules and generative calls

Built With

Language: Python
Frameworks: TypeSafe Jev · TypeSafe Python SDK · TypeSafe JavaScript SDK · Vercel AI Gateway · Cloudflare Workers AI · System One adapter (Python)

awesome-jev-by-typesafe

Use Cases

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