GitHub Action that uses Jev (TypeSafe AI via Vercel AI Gateway) to cheaply triage pull requests before expensive LLM/human review
Applications — page 33
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
Real-time quality gate and Art Director Warden for Claude Code powered by TypeSafe Jev 1.13 non-autoregressive decision model
Auto permission mode for Command Code: screens every tool call with TypeSafe Jev before it runs, and rejects anything out of scope.
Jev に判断を任せる自動生成のエレクトロの楽器
No project description available.
Near-instant generative UI for Telegram bots, powered by JEV.
very first hands on jev, foundation models by typesafe
Use Jev to quickly search your old hard drives and identify anything of value.
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Haskell client for TypeSafe's System One (Jev) decision API — typed, batched Choice/Score/Noul over http-client
INSTRUCT_JEV - TypeSafe AI Jev / System One instruction corpus (choice/noul/score), compiled by DeckerGUI. 119 rows. Mirrored on HuggingFace.
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JEB: a System One-compatible decision model API. State + typed questions in, calibrated probabilities out, one forward pass.
CI example using Jev to classify failed PR checks and return structured decisions with probabilities.
No project description available.
Local, contract-compatible System One decision server (typed questions -> calibrated probabilities, zero generation). Independent reimplementation; not affiliated with TypeSafe.
Jev learns your repo's decision norms, then adversarially judges past decisions against them. Unix-style primitives (seed, expand, judge, verify, report, norms) with per-node typed judgments from typesafe-ai/jev.
Real-time hawk-or-dove analysis of Fed press conferences with TypeSafe's Jev vs chat models. Live at fedspeech.pages.dev
Recursive FOLIO document classification with TypeSafe Jev
TypeSafe Jev 1.13 vs Claude Fable 5.1, GPT-6 Astra, Kimi K3, MiniMax M3 and DeepSeek V4.1 Flash on 200 typed decisions: accuracy, calibration, agreement with 100 human annotators, latency and cost
A safety boundary for AI-assisted Home Assistant decisions, with explicit policy checks and deterministic state verification.
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A hands-on lab for Jev, TypeSafe's System One model — AI decision trees, guardrails and routing with typed answers instead of text
Jev decides whether a batch of logs is worth acting on. Typed questions, confidence gates, nothing executed.
AI defect code suggestions for Non-Conformance Reports, powered by TypeSafe AI's Jev model
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A vocabulary-driven TypeScript runtime for safe, stateful applications powered by TypeSafe AI Jev.
Evidence-gated registry of Jev question packs — curated questions, golden cases and measured evidence for Jev-compatible decision endpoints