Jev ecosystem projects — page 133

A small CLI that uses the TypeSafe API (Jev model) to evaluate emails

Production Agent Decision Harness for TypeSafe Jev & System One models — confidence-gated policy routing, shadow mode, and trajectory verification

Autonomous AI Persona Runtime & State-Machine powered by TypeSafe Jev System One decision intelligence

Production-grade Reddit & social market intelligence scraping and VoC synthesis suite powered by AIPersona Academy

Piloto de agentes de backoffice: LLM gera e raciocina, Jev (TypeSafe AI) decide, roteia e verifica

Jev-powered operations decision support for Backstage: readiness checks, incident triage, change review, template and team recommendations, and catalog reranking.

A 60-game benchmark of TypeSafe's Jev evaluation model playing Battleship. The model matches plain code; it does not beat it.

A Battlesnake in Go where deterministic code owns tactics and a TypeSafe Jev classifier gets the judgment calls — with controls measuring whether that actually helped.

Generative art conducted by TypeSafe Jev: a mood phrase becomes typed art direction, and an obedience-chaos slider turns the model's probability distributions into controlled chance

Adversarial browser testing: personas explore your web app while Jev judges every page state

A personal judgment app for more thoughtful purchases, powered by TypeSafe Jev.

Does your model's confidence mean anything on your data? Calibration layer for typed probabilistic decisions — reliability, ECE, Brier, recalibration maps and cost-aware thresholds from decisions + outcomes.

A local second brain built on GBrain, with TypeSafe Jev for search ranking and page connections.

AI slop

TypeSafe Jev (System One) wired into Claude Code: a decision primitive for hooks, and the Skylence herdr agent-org with Jev measuring tier and review gates.

Instead of locking a whole session to one model, you pick Auto in the model picker — and for every turn, Codriver asks Jev (TypeSafe AI's non-generating "System One" decision model) which concrete model from your fleet fits THIS turn, then rewrites the message to that model before it is sent.

Reads a commit before a reviewer has to: whether the message matches the diff, whether the edits belong in one commit, and what the message leaves out. Built on TypeSafe's Jev.

the realtime sentiment analysis and context-aware backchanneling with Pipecat

JEV CV scorer / TypeSafe.ai

Jev-powered deal search engine with a chat frontend — semantic matching + offer eligibility by TypeSafe's Jev, all the money in plain code.

Basket — Snowplow grocery ecommerce demo with TypeSafe Jev purchase-intent classification

打字即设计的实时 UI 生成器。决策编排驱动：一次概率决策 → 20 个变体 → 纯函数渲染 HTML，全程不调用 LLM 生成文本。