Guideyoutube.com/@TheHunterBohm
I paired Jev with Astra
Hunter Bohm on how Jev works, pricing and parallel decisions, whether it is actually new, and his own Astra plus Jev benchmark.
Updated Oct 3, 2026
Projects, posts and guides about Jev, the System One model from TypeSafe AI. Each entry links to its source and shows the cost and speed its author reported.

Diogo Almeida
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
Guideyoutube.com/@TheHunterBohm
Hunter Bohm on how Jev works, pricing and parallel decisions, whether it is actually new, and his own Astra plus Jev benchmark.
Guideyoutube.com/@promptwarrior
Moritz starts from the API key, then builds three prototypes: a voice-controlled browser, memory retrieval, and a YouTube topic scorer, and says where Jev still needs an LLM or plain code around it.
Guidearize.com
Arize’s instrumentation for Jev: one line of code to trace each decision, with the integration docs.
Guidejevable.com
Nikunj Kothari’s directory of the demos posted on X, filterable by category, with a button to add your own.
Guidegithub.com
A community-maintained catalog that claims 433 verified open-source projects built with Jev.

Guidegithub.com
Oscar Wu’s collection of Jev use cases, workflows and agent skills, gathered in one repository.
Jony Musky
@jonymusky
Hice un video de 4 min (en español) explicando qué es Jev, qué no hace, y por qué cambia dónde ponés un modelo.
Guidex.com
Jony Musky, in Spanish: what Jev is, what it does not do, and why it changes where you put a model.
Guidelatent.space
Latent Space interviews TypeSafe's Diogo Almeida about System One models and what Jev is for.
Guideyoutube.com/@RoboNuggets
RoboNuggets: how to put Jev to work inside Claude Code.
Guideyoutube.com/@MG_cafe
MG walks through setting Jev up with Claude Code from scratch.
Guideyoutube.com/@AIJasonZ
AI Jason pairs Jev with Treg and builds automation on top of the two.
Guideyoutube.com/@AI-GPTWorkshop
Zubair Trabzada's AI Workshop: what Jev actually does, and why calling it an LLM misleads.
Guideyoutube.com/@Supabase
Supabase, in a short: Jev introduced in under a minute.
Guideyoutube.com/@samwitteveenai
Sam Witteveen goes through the open decision models released in Jev's first week.
Guideyoutube.com/@engineerprompt
Prompt Engineering puts Jev in the reranking step of a RAG pipeline: why vector search and cosine similarity fail, how a steerable reranker works, and how it compares with LLM rerankers and cross-encoders. A Colab notebook comes with it.
Guideyoutube.com/@JulianGoldieSEO
Julian Goldie’s hour-long course: the three question types, many decisions batched in one request, and ten use cases, from email sorting and lead scoring to internal linking across 586 pages and a browser agent finding flights.
Guideyoutube.com/@KevBuildsApps
Kev makes Jev the decision maker inside HyperEdit, his open-source AI video editor, and walks through the whole setup with Claude Code. The repository is free on GitHub.

Guideyoutube.com/@CoderOne
Coderone on Laya, the open System One model from Convai Innovations: what typed decisions are, why they replace a share of LLM calls, and Laya run locally to see if its figures hold up.
Guideyoutube.com/@daveebbelaar
Dave Ebbelaar in Python: a support-ticket classification first, then Choice, Score and Noul, several questions in one call, and latency and price next to Claude Haiku, Opus 5 and Fable 5.1.
Guideyoutube.com/@Raul-Marin-Calleja
Raúl Marín, in Spanish: what Jev decides against what an LLM writes, then closed judgments applied to a design system — variant choice, email classification next to GPT, fast UI rendering and screens generated from prompts. 21 minutes, with chapters.
Akshay 🚀
@akshay_pachaar

Guidex.com
Akshay Pachaar’s worked example: evaluate a refund-support agent with Jev instead of a generative judge, and record the verdicts in Opik. Separates the judge from the evaluation system, and is explicit that a 0.98 is a probability about one proposition, not a percentage of the answer.
Guidegithub.com
Comet’s open-source evaluation and tracing platform, Apache-2.0. Datasets, experiments and trace-level feedback, with a custom-metric interface that takes several named scores from one call — which is how a Jev judge is wired into it.
Guidelinkedin.com
Our explainer in Spanish, on LinkedIn: what a System One model is, what Jev decides, and where it fits.
Guidelinkedin.com
Our piece in Spanish, on LinkedIn: Jev is closed, but 35 open projects train, adapt or replace it. The four families, the ten with the most stars, and why calibration, not accuracy, is the number to read before you trust any of them.
Guideyoutube.com/@ZazenCodes
ZazenCodes works through Jev hands on in Python, from a first call to typed decisions.
Guideyoutube.com/@EdwardDonner
Edward Donner puts Jev to the test against Luna.
Guideyoutube.com/@seanai
Sean’s AI Stories: TypeSafe AI, fast judgment and evaluation, explained end to end.
Guideyoutube.com/@CloudCodes
Cloud Codes sets up a Jev-style decision model on local hardware.
Guideyoutube.com/@RobTheAIGuy
Rob The AI Guy explains Jev fully, with the use cases he found.

Guideyoutube.com/@LangChain
LangChain walks through putting Jev inside an agent harness.
Guideyoutube.com/@ColeMedin
Cole Medin on what the class is, and how to actually use it.
Guideyoutube.com/@LatentSpacePod
Latent Space interviews TypeSafe’s Diogo Almeida on what System One models are for.
Guideyoutube.com/@AdamGardner
Adam Gardner on both decision models and the argument around them.
Guideyoutube.com/@Telusko
Telusko’s crash course on typed decisions with TypeSafe.
Guideyoutube.com/@krishnaik06
Krish Naik on what Jev is from TypeSafe AI, and whether it replaces an LLM.
Guideyoutube.com/@LangChain
A LangChain and TypeSafe conversation on building a harness around Jev.
Guideyoutube.com/@TheFintechBuilder
The Fintech Builder runs Jev on fifty financial jobs and shows where it works and where it does not.
Guideyoutube.com/@builderio
Steve from Builder.io tests Jev on computer use.
Guideyoutube.com/@MikeyNoCode
Mikey No Code sets Jev up from scratch and shows how to use it.
Guideyoutube.com/@GitButler
GitButler on what Jev is, and how Laya compares.

Guideyoutube.com/@AIAutomationStation
AI Automation Station on what Jev is and why it matters.
Guideyoutube.com/@Thetips4you
Thetips4you’s short walkthrough of Jev and how to call it.
What to read before you build: TypeSafe’s own quickstart, docs and cookbooks, the LangChain harness guide, the awesome-jev lists other builders keep, and the launch coverage.
164 guides