Applications — page 31

Add as much tabular data as you want to Jev models using adaptive ensembles that learn to query only the rows and columns needed.

IntentFlags — semantic feature flags for websites, powered by Jev. Infers what a visitor is trying to do and hands it to your React code as a flag.

Copy the most winning ads and have a synthetic focus group.

Experiments with TypeSafe/Jev semantic gates and a Semantic Operations Lab demo.

Pareto-optimal menu picks on cost, macros, deliciousness, and reviews — with TypeSafe/Jev scoring and a fixed output schema.

Jev Bayes, No? Testing TypeSafe AI's Jev against Bayesian-optimal strategies, and testing if Jev can effectivly use Bayesian priors.

Real-time reflex layer for Claude Code guarded by TypeSafe's Jev System One model: calibrated probabilities in, deterministic allow/warn/block decisions out.

Clean your Google Other contacts with TypeSafe's Jev: Keep / Review / Remove

Automated friction logs for online documentation, scored section by section with TypeSafe Jev

Ask your DuckDB tables questions in plain language. A DuckDB port of pg-jev, powered by TypeSafe's Jev.

⚖️ Judge git commits with Jev: is it breaking, does it deserve attention, and does its message tell the truth?

No project description available.

Judgment calls as one line of Python, built for TypeSafe AI's Jev and running on any small model: likely / classify / rate → YES, NO or UNSURE. Also local NLI, local LLMs, Ollama, vLLM, OpenAI.

Semantic task routing for software development, powered by Jev.

Jev-style /v1/systemone API in front of any OpenAI-compatible LLM server (one-token logprob scoring, MIT)

Local console + CLI for TypeSafe's Jev (System One) model: send a state and typed questions, get calibrated probabilities back.

Jev (TypeSafe System One) 学习与实测：概念文档 + 5 个可运行 demo + 可复现压测。实测 jev-1.13.0：扇出几乎免费，40 问与 1 问等延迟。

A Jev-powered quality gate for GitHub issues, pull requests, and commits.

Open lab: Jev (TypeSafe System One) routing in front of Claude Code - measured bugs, patch, and a hard fallback with alerts

最简 Jev 调用演示器：单页分类器，把请求 JSON、概率分布、confidence、耗时与 token 都摊开给你看

JEV-Local: System-1 decision engine for local LLMs. Mimics TypefAI JEV: structured choices only, no chatter, calibrated confidence. Works with Ollama, vLLM, llama.cpp, LM Studio.

Real-time FMCG customer care triage: MongoDB Change Streams + TypeSafe Jev

System One\Two Driven Robot demo

No project description available.