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A FIELD GUIDE TO JEV / VOL. 01

SMALL
DECISIONS.
BIG
POSSIBILITIES.

The best of Jev. Real projects, practical guides and ideas from across the internet.

1,198resources16languages
TypeSafe AI THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POST

The Jev launch post

Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.

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107 resources

AI-assisted summaries and translations. Check original sources for context and performance claims.

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Documentation

Introduction, primitives, patterns, cookbooks, HTTP API, and SDK references.

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Primitives

Choice, Score, and Noul: the three question types and what they return.

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Patterns

Speculative fan-out, confidence-gated routing, composite scoring, and intent routing.

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Cookbooks

Reproducible recipes: parallel questions, reranking, guardrails, citation checks, extraction, hierarchical classification.

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Manifesto

The case for machine-native intelligence built for software, not conversation.

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Workflow evals

Published eval methodology and per-model results for System One workflows.

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Discord

Official TypeSafe server. Builder demos live in the Show and Tell channel.

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Playground

Paste a state, add questions, and see typed answers in the browser.

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Smart home demo

Official interactive demo of speculative fan-out: many questions in one call, code keeps the relevant answers.

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TypeSafe AI

Answers your code can use

TypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.

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typesafe-ai

System One adapter (Python)

Official drop-in TypeSafeClient replacement backed by OpenAI, Anthropic, and compatible LLM APIs, for comparing Jev against chat models.

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AbdelStark

awesome-typesafe

Curated list of official resources and community projects for TypeSafe, System One models, and Jev, with a GitHub Pages site.

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hellogumbo

Should AI Kill Us All?

Live verdict page: feeds Jev the day’s Florida Man, odd-news, politics and world headlines and asks all three primitives whether AI should kill us all, refreshed every ten minutes.

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samtay32

jev-system-architect

System-architecture skill for TypeSafe AI Jev/System One — find fuzzy semantic judgment and turn it into small Choice/Score/Noul primitives.

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tools

Formatho Jev Playground

Browser-based request builder for the System One API: compose state plus typed Noul, Choice, and Score questions. Mock mode runs locally without an API key; Live mode requires your TypeSafe key and calls api.typesafe.ai directly. Generates typesafe_sdk Python. Includes companion Jev Suitability Test.

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typesafe-ai

TypeSafe agent skills

Official agent skill for Claude Code, Codex, and compatible agents: primitives, patterns, and how to structure evaluations.

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lhemerly

mcts-agent

Discriminative Monte Carlo Tree Search using TypeSafe Jev System One Primitives and Gemini.

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Diogo Almeida

The Jev launch post

Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.

Start hereEnglish

Source-linked curation

russfranky

jev-crawlers

Bug-hunting crawlers built using Unix-style primitives, designed for automated system analysis.

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nshkrdotcom

typesafe_sdk

An idiomatic, type-safe Elixir port of the official TypeScript AI SDK (ai / ai-sdk) providing unified LLM integrations, streaming text and structured outputs, tool calling, and agentic workflows. Jev is their current flagship model and is the first System One model.

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valksor

typesafe-sdk-go

Unofficial Go SDK for the TypeSafe AI System One API — 1:1 parity with the official JS and Python SDKs. Not affiliated with TypeSafe AI.

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