TypeSafe's Jev System One model as a system-one/decisions provider Cog: typed, calibrated decisions through explicit versioned bindings.
Applications — page 48
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
Color picker built on Sanzo Wada's Dictionary of Color Combinations
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A precision-first RAG orchestrator: filters before it generates, verifies before it answers.
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Demos of Jev (System One) by TypeSafe AI: message routing, confidence traffic light, multilingual Tamil
Experimental Dice Chess webhook bot powered by TypeSafe Jev, with adaptive legal-turn selection and no heuristic pre-ranking.
[SUPERSEDED] Split into esg-disclosure-desk (framework-agnostic ESG core). Archived, read-only, link kept alive.
A framework-agnostic Jev decision layer for ESG reporting — reads every claim in a sustainability report against the evidence behind it. Works over GRI, ESRS, BRSR or ISSB. Zero dependencies, 22 tests.
No project description available.
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🦅 Native macOS Jev proxy and decision observability, in development
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No project description available.
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Keeps a Plex library under 80% full without deleting what your household still watches. Rust forecaster for *arr.
No project description available.
Due-diligence engine that uses Jev for probabilistic link routing and Groq for LLM teardowns, cutting token usage by fetching only high-value pages.
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No project description available.
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Demo of TypeSafe's Jev decision model: Noul, Choice, Score
Small air traffic control sim for a single runway (27). Give radio calls in plain English, or hand the frequency to Jev, TypeSafe's decision model, and watch it sequence, space and land the traffic.
Run a Pokémon Champions battle arena locally with Jev, TypeSafe, and Pokémon Showdown.
Simple demo of TypeSafe AI - JEV
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Independent, unofficial CLI for TypeSafe AI's System One API
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No project description available.
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JEV action selection at 10 Hz meets original Chromium Dino physics. 13,724 points, 1080p60 recording, and auditable evidence.
Experimental macOS menu-bar assistant using TypeSafe Jev to recommend Codex models from drafts.
Classify failing tests as regression, flaky, environment, or unknown. Jev decides; results are never masked or auto-rerun.
Calling TypeSafe's Jev from Java with a hand-typed API contract. Small app to demo triage, zero-shot classification of commands from MASSIVE's 60 intents. And live batch classification with confidence-based routing.