Jev ecosystem projects — page 120

Learn TypeSafe's Jev model by building a support ticket triage app, step by step

No project description available.

Jev Ultrafast fork: Naver Flights mobile browser agent driven by Korean goals (TypeSafe Jev + GLM)

Do you need TypeSafe's Jev, or is cosine similarity enough? A $0, reproducible benchmark on Banking77 intent routing.

Same loaded questions to TypeSafe's Jev, GPT-5.6, Claude and open Jev-style models (Kev, Laya), in English and Portuguese. Reproducible code, raw answers and a playground UI.

A web-browsing agent driven by Jev (TypeSafe's System One model): Playwright + typed, calibrated decisions, confidence gate, human in the loop

Causal attribution and calibration for TypeSafe Jev decisions. Jev tells you what it decided; jev-why tells you why, and whether you should believe it.

信息过滤器 · Jev —— Chrome MV3 扩展：用 Jev（TypeSafe System One）的类型化决策过滤 X 时间线上的垃圾信息（色情引流 / 诈骗博彩荐股 / 广告导流 / 标题党 / 低质 AI / 刷屏农场六类可开关），高置信度才动账号，默认演练模式

No project description available.

Sub-second code diff, commit, and doc quality gate powered by TypeSafe AI Jev SystemOne

A testable spec and conformance suite for Jev-compatible (TypeSafe System One) API servers — with a normalising proxy, a reference mock and a GitHub Action.

An example repository using the TypeSafe Jev model to do sentiment analysis

Jev ecosystem: calibrated decision model + veto gate. Reproducible AI decisions with CI-backed stability certificates

Jev vs LLMs: benchmarking a decision model against small LLMs on accuracy, latency and cost.

Policy + evaluation framework for Jev / Kev (TypeSafe System One): typed probabilities in, auditable actions out — calibration, budget-compiled thresholds, permutation & drift checks. Zero-dependency core, kev-native.

Natural-language QA test runner: plain-English test cases, a real browser, TypeSafe's Jev as the decision engine, independently verified pass/fail reports.

Mine driving scenes from logs with Jev: scene text in, scenarios with probabilities and timestamps out.

Reproducible experiments evaluating Jev as an automated judge across benchmarks and tasks.

tiny Jev-like family of decision models built on top of Qwen3.5 you can train and run on your own

Independent HTTP passthrough and dated request-response capture for Kev experiments

Reproducible Colab benchmark of SemIf, Decider, Laya and TypeSafe Jev on Korean hate speech; pinned models, isolated environments, MIT code.

No project description available.

LangChain + Jev (TypeSafe) tutorial: a support-ops agent whose small decisions (triage, model routing, tool guarding, evals) are made by Jev. Real run outputs included.

Route Claude Code and Codex turns with local Laya — $0, no key, nothing leaves the machine