How sure is Jev? Turn TypeSafe Jev probability outputs into one honest number, with graphs.
Jev ecosystem projects — page 180
5191 repositories with documented relationships and source evidence.
A universal user-context layer for platform operators using Jev and gemini on openrouter
No project description available.
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No project description available.
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MCP server for Jef, a model that decides instead of generating. Hosted, no key. A parody of TypeSafe AI's Jev.
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No project description available.
A reproducible backtest of whether TypeSafe Jev can forecast BTC/USD and produce a tradable edge after fees, slippage, and holdout validation.
probing jev for efficiency and usable workflow dynamics
A learning scaffold for TypeSafe AI's System One models: eval harness plus a measured, plain-language comparison of the Jev decision model vs an LLM stand-in on 24 real operational decisions. All numbers reproducible from committed run files.
Confidence-gated browser action routing with TypeSafe Jev and agent-browser
Complete Jev and TypeSafe skill, API documentation, examples, evidence, and email application build brief for Codex
Free typed judgments for AI agents: offload classify/screen/score/verify to Jev (TypeSafe System One) via OpenCode Zen. Claude Code / ZCode skill. 给AI代理省token的免费决策分流技能
Bring-your-own-key CLI, Python API, and MCP server for typed judgments with TypeSafe Jev
Runtime-agnostic algorithms built on TypeSafe's Jev structured-evaluation model
Does the option name that sorts first win? A pre-registered experiment on key-name bias in TypeSafe's Jev choice endpoint, across 273 option sets.
No project description available.
A calibration arena for TypeSafe Jev: reliability, Brier/ECE, and confidence-gated risk-coverage on analytically-known random worlds.
No project description available.
No project description available.
A single-page Next.js app that classifies PolyAI BANKING77 customer support queries with Jev, TypeSafe AI's System One model, and streams the results into the UI one ticket at a time.
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BrowseComp-Plus with a cheap LLM and Jev (TypeSafe's non-generative classifier): agent pipeline, the jevlog language, and every experiment
Game intuition service that uses typesafe-ai/jev instead of a behavior tree.
Zero-Shot Classification of Protein Binders with Jev
Jev-style typed decisions (semantic ifs) from a local Ternary Bonsai 2 27B on Apple Silicon: one forward pass, no generation. Independent; not affiliated with TypeSafe/Jev.