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Jev

Fast, structured AI decisions for software automation

Informations de la fiche

Fiche d’annuaire HiCyou

Répertorié
Site web répertorié
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Fiche d’annuaire créée
26 sept. 2026
Dernière mise à jour de la fiche
24 oct. 2026

Informations incluses dans la fiche

  • Présentation
  • 6 fonctionnalités clés
  • 3 cas d’usage

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Jev preview

Qu'est-ce que Jev

Jev is TypeSafe AI's 'System One' frontier model designed for software automation. Rather than generating free-form text, it takes unstructured input state and returns typed, probabilistic decisions — Choice, Score, and Noul answers with calibrated probabilities that code can act on directly. Parallel sampling delivers response times of roughly 70–500ms, which the vendor states is about 20–200x faster and 40–400x cheaper than comparable LLM workflows, with output tokens free. Jev is available via console.typesafe.ai with no waitlist.

Fonctionnalités clés

Typed decision outputs: Choice, Score, and Noul answers with calibrated probabilities
Unstructured state input — no need to pre-structure data for decisions
Parallel sampling with ~70–500ms response times
Vendor-reported 20–200x faster and 40–400x cheaper than comparable LLM workflows
Output tokens free of charge
API access via console.typesafe.ai with no waitlist

Cas d'utilisation

  • Building automated decision-making into software pipelines
  • Replacing LLM-based classification or scoring workflows with typed, probabilistic outputs
  • Low-latency decision points where code needs a machine-actionable answer rather than text

Pourquoi les startups ont-elles besoin de cet outil ?

Jev targets a common pain point for engineering teams: using LLMs for decisions in code. By returning typed, probability-calibrated answers instead of text, it removes the need to parse and validate free-form model output, and its millisecond-scale responses make it viable for latency-sensitive automation paths.

Questions fréquentes

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