No project description available.
Applications — page 24
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
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A PHP library to connect to TypeSafe JEV APIs
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An unofficial Zig client for the TypeSafe System One API (Jev)
Offline Jev token counting and request accounting for Node.js and Next.js. MIT TypeScript port of LabGuy94/jevtok.
Decide what an AI system should remember: policy-driven memory gating with typed judgments.
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Self-hosted triage for GitHub pull requests, issues and forks: which PRs to take into your build, what conflicts, what it costs to maintain. Scores thousands of items with Jev in minutes, for cents.
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Know when to hand a Claude Code session to a fresh one. A Stop hook that times the handoff with Jev or an open-weights model, sending only derived signals, never your chat.
Native DuckDB extension composing fast System One judgments with selective System Two reasoning, provenance, batching, and caching.
Built with Jev: how Fake / Real (fake-real.live) uses TypeSafe Jev to check claims against cited evidence.
Local playground and test bench for TypeSafe's Jev System One model: typed questions, calibrated-probability answers, and side-by-side comparison with an LLM baseline.
No project description available.
Fast, cheap guardrails for LLM apps, powered by TypeSafe's Jev model
JEV intent classification using Python
Jev System one AI model, very fast decision making engine. Jev AI will use input tokens but no output tokens
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No project description available.
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Operating System powering the burgh's build chain. Made for AI Horizons 2026 Hackathon
A library to chain Jev calls, for the deranged and enlightened
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Probabilistic control flow for TypeScript - powered by TypeSafe's Jev
Write a fighter in plain English. Jev pilots it in real time. PR-driven ladder, swappable brains.
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No project description available.
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LISA: Leak, Injection & Simplicity Auditor. GitHub Action that uses TypeSafe Jev (a system one model) to flag secrets, security vulnerabilities, and unneeded complexity in pull requests
Fast, calibrated, staged code & security review (momus)
Seems: Python, plus judgment, answered locally by Laya. A variant of kavehmz/seems-lang with the open-weight decision model swapped in for TypeSafe Jev.
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An AI with its hands on the decks: real songs, real DJ moves, every move a tool call decided live by Jev in ~150 ms