Jev directory
Jev Guides & Articles
270 curated Jev entries. Documentation, write-ups, and community hubs for learning Jev, from the canonical docs to independent tutorials and reviews.
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- Posts60
- Articles132
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All 270 Jev Guides & Articles
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Showing 1–48 of 270 resources
freeCodeCamp article introducing the Jev Course on prefill-only inference and decision models built from scratch in PyTorch, covering encoder and decoder variants, custom causal masking, and KV-cache reuse.
Jev Guides & ArticlesArticle#article#python#explainer
Community
Crash-course repository introducing TypeSafe AI's Jev product, with setup steps and runnable scripts. Dependencies are installed with uv into a local .venv, and example scripts are executed with uv run main.py.
Jev Guides & Articles#github#python#catalog-import
CommunityCOMMAND-LABS/welcome-to-jev
Independent GitHub repository behind jevhub.io, collecting ready-to-run Jev examples, real cost data, a free cost calculator, community builds, and dated news, plus plain-English explainers of Jev terms, request flow, question writing, and limits.
Jev Guides & Articles#github#explainer#calibration
Communityshiiivvaam/jev-hub
Hands-on workshop repository for Jev with five live-executed Jupyter notebooks, a 48-slide deck with speaker notes, a cited reference, six live-build projects, and 24 walkthrough notebooks with UIs.
Jev Guides & Articles#github#python#explainer
Communityfnusatvik07/jev-workshop
Community-maintained index of projects, SDKs, models, tools, and use cases built on Jev, with a generated README and a browsable site offering full-text search, category filters, and repository metrics.
Jev Guides & ArticlesDocs#awesomejev#github#article
Communitywizicer/jev_info_site
Small Python tutorial project that classifies a user's reply with the TypeSafe SDK and routes the response on the lost_something score: above 0.8 to the counter, below 0.2 to a new question, otherwise a clarification prompt.
Jev Guides & Articles#github#python#tutorial
CommunitySystemSolution21/Jev_TypeSafe_AI
HiddenLayer researchers tested Jev and an in-house System One-style model: on a simulated checkout page an attacker-controlled ad made the browser agent click away from the purchase, and TokenBreak-style edits lowered toxicity scores for prompts both models had flagged.
Jev Guides & ArticlesArticle#community#press#security
Community
HiddenLayer's insight post walks security teams through its Jev tests: on a simulated checkout page Jev gave the attacker ad's button 91% against 9% for Place order, and TokenBreak edits cut one prompt's toxicity score by more than two thirds so Jev stopped flagging it.
Jev Guides & ArticlesArticle#community#press#security
Community
Pillar Security analyzes Jev and System One models: a smart-home demo answered three typed questions in about 200 ms with no language model in the loop, while prompt scanning, output filtering and chain-of-thought monitoring all have nothing to inspect. TypeSafe's docs say state is not treated as hostile by default.
Jev Guides & ArticlesArticle#community#press#security
Community
Rogue Security's post uses Jev and System One models to frame agentic security as a decision problem: the same send_file action should be allowed, blocked or reviewed depending on who requested it and where the data goes, illustrated with policy case files rather than product results.
Jev Guides & ArticlesArticle#community#press#security
Community
Ian Maurer's ThinkThen analysis argues Jev's faster and cheaper are measurable today while its better is a bet on RLCD: unlike RLHF, which pleases humans, and RLVR, which optimizes benchmarks, Jev is trained to be reliable for programmatic use, in Diogo Almeida's own framing.
Jev Guides & ArticlesArticle#community#press#explainer
Community
A podcast episode on Jev as a decision model rather than a chat model: hosts Luis Calderon and Carina discuss roughly 20x faster Coach testing, why that preliminary figure differs from TypeSafe's vendor benchmarks, and why type safety does not guarantee a correct decision.
Jev Guides & ArticlesArticle#community#press#podcast
Community
A BIG CHANGE analysis of the Diogo Almeida Latent Space interview: Jev's most consequential proposition is the unit of automation, a bounded judgment inside an existing process, and the launch claim that Jev can't hallucinate needs a narrow reading because schema matching does not establish truth.
Jev Guides & ArticlesArticle#community#press#explainer
Community
VentureBeat's Sam Witteveen argues a large share of enterprise AI only needs a label, not generated text. Per TypeSafe, Jev returns choices, scores and yes/no answers in 70 to 500 ms at $0.042 per million input tokens, with output tokens free.
Jev Guides & ArticlesArticle#community#press#explainer
Community
VentureBeat's Louis Columbus reports Jev is spreading into agent infrastructure faster than enterprises can audit it. In one Octomind test a planted field cut a block probability from 0.76 to 0.48, and TypeSafe and Pydantic both warn inputs can steer answers.
Jev Guides & ArticlesArticle#community#press#security
Community
Vega's proof of concept put Jev in front of its alert triage agent on two tenants: it gated off 15% of alerts on the busy tenant and a third on the quiet one, about 98% correct by three LLM judges verified by its own analysts.
Jev Guides & ArticlesArticle#community#press#adoption
Community
TWIML episode 779 features TypeSafe co-founder and CEO Diogo Almeida on Jev, the company's model for bringing fast, reliable intelligence directly into software, and why text-generating models are poorly suited to many real-world automation decisions.
Jev Guides & ArticlesArticle#community#press#podcast
Community
On The MAD Podcast, Matt Turck talks with TypeSafe CEO Diogo Almeida about why intelligence per dollar matters more than enterprise adoption, and why RLVR benchmark gains still leave models 95% Einstein, 5% Mr. Bean.
Jev Guides & ArticlesArticle#community#press#podcast
Community
In Law://WhatsNext's return episode, guest Chris Bridges of AI-native law firm Tacit Legal demonstrates Jev returning structured contract answers in 0.3 seconds where a chat model took 9.6 seconds.
Jev Guides & ArticlesArticle#community#press#podcast
Community
An analysis of TypeSafe's $870 million Series A at a $7.5 billion valuation that corrects the 24-days framing, showing the $40 million seed was priced more than a year earlier, and notes the close came in below September's $10 billion talk.
Jev Guides & ArticlesArticle#community#press#funding
Community
Braintrust's provider page covers two ways to use TypeSafe Jev: instrumenting System One calls as decision spans, and running Jev as an LLM judge that turns typed choices into scores or labels.
Jev Guides & ArticlesArticle#community#press#explainer
Community
Langfuse's guide to decision-model evaluators runs OpenAI's gpt-6-luna or TypeSafe Jev over observations, where each Choice, Score or Yes/no question becomes one Langfuse score.
Jev Guides & ArticlesArticle#community#press#explainer
Community
Langfuse's notebook integration traces TypeSafe Jev System One calls through the OpenInference instrumentor, which patches the Python client in place and emits OpenTelemetry spans.
Jev Guides & ArticlesArticle#community#press#explainer
Community
Blackwell Systems' adversarial technical due diligence on Jev, built only from public material and live API calls. The author reproduces TypeSafe's published addressee numbers within a point and finds a real but noise-type-specific robustness moat.
Jev Guides & ArticlesArticle#community#press#competition
Community
An independent hands-on evaluation that ran Jev live on 16,379 benchmark requests and reports it is no frontier model but genuinely useful for cheap real-time sub-frontier judgement, with 82.7% MMLU-Pro and 76.5% GPQA Diamond.
Jev Guides & ArticlesArticle#community#press#competition
Community
A LessWrong pilot testing Jev as a trusted monitor in the ControlArena APPS backdoor setting: one yes/no question reaches AUROC 0.976 and catches 90% of backdoors at a 2% false-positive rate for about $0.04 per thousand submissions.
Jev Guides & ArticlesArticle#community#press#security
Community
Interactive comparison of 21 decision models, with direct-provider and OpenRouter routes measured separately on 1,100 public jev-bench items. The charts plot accuracy against benchmark cost, official prices and median latency, with Jev 1.13 and 1.14 measured separately.
Jev Guides & ArticlesArticle#community#press#calibration
Community
ThursdAI's September 17 episode covers TypeSafe's Jev launch with founding DevRel Allie Laabs: choice, score and null primitives, $42-per-billion input pricing, and a live X timeline classifier running at 12 tweets a second.
Jev Guides & ArticlesArticle#community#press#podcast
Community
An episode of The Merge (by CodeRabbit) recorded at the first Jev hackathon 11 days after launch; TypeSafe DevRel Allie Laabs explains how Jev replaces prompt-parse cycles with typed choice, score and yes/no outputs.
Jev Guides & ArticlesArticle#community#press#podcast
Community
John Lindquist joins Claire Vo to walk through eight Jev use cases, from a real-time voice to-do app to data deduplication with confidence scores, on the episode billed as Jev week at How I AI.
Jev Guides & ArticlesArticle#community#press#podcast
Community
The desk's index of every Jev measurement it has published, keeping each figure's original caveat: JevBench boards, Vercel gateway reach, Celeris and Artificial Analysis results, and the desk's own Jev Day probes which it says it did not rerun.
Jev Guides & ArticlesArticle#community#press#calibration
Community
Side-by-side tables placing similar Jev tests next to each other, from the JevBench API board to Vercel paid-team reach, with the desk's warning that differing sets, labels and comparators mean the rows are not a ranking.
Jev Guides & ArticlesArticle#community#press#competition
Community
An interactive site by Sarah Drasner that explains System One thinking — fast, automatic judgments versus deliberate checking — and what that distinction means for software design, closing with the Jev × WebMCP Chrome extension as a case study.
Jev Guides & Articles#community#github#javascript
Community
sdras/system-one-explainerJavaScript
sdras/system-one-explainerJavaScriptA community-maintained directory of 221 Jev integrations, compatible decision models, System One SDKs, agent tools, and research; every listed project must be active — pushed within two weeks, 50+ stars, not archived — and it is labeled unofficial.
Jev Guides & Articles#community#github#directory
Community
VoltAgent/typesafe-jev-ecosystem
VoltAgent/typesafe-jev-ecosystemA curated list of System One decision models — Jev, the first, plus open and hosted alternatives — with sections for Open Implementations, Agents, Tools, SDKs and Adapters, and Baselines. A companion site at system-one-models.com adds search, sort, stars and growth per entry. CC0-1.0.
Jev Guides & Articles#community#github#awesome-list
Community
andyrewlee/awesome-system-one
andyrewlee/awesome-system-oneA one-hour, six-step workshop built around a fighting game that teaches TypeSafe's Discriminative (Jev) decision model and puts it next to Gemini in a Google ADK workflow. It runs in Cloud Shell or anywhere signed into gcloud, with hosted Jev, a local DiffusionGemma VM, or a rehearsal stand-in.
Jev Guides & Articles#community#github#workshop
A community directory of projects, tools, SDKs, demos and resources built around Cloudflare Clef, the open-weight decision models that answer typed noul, choice and score questions with probabilities. Includes a searchable site at awesomeclef.com.
Jev Guides & Articles#community#github#awesome-list
Community
rohinrohin/awesome-clefJavaScript
rohinrohin/awesome-clefJavaScriptA free animated course on System One decision models, covering TypeSafe Jev alongside OpenAI Decisions, Cloudflare Clef and AWS Strands Decider: 22 short lessons backed by 199 sources and 14,318 API calls the authors ran themselves.
Jev Guides & Articles#community#github#course
Community
Haple/system-oneJavaScript
Haple/system-oneJavaScriptA Chinese-language research collection on System One decision models: it compares JEV and Laya academically and operationally, maps enterprise adoption, teaches Laya locally from setup to fine-tuning, and reads the Laya source. Research finished 2026-09-24.
Jev Guides & Articles#community#github#docs
Community
amosli/jev
amosli/jevA link collection rather than a codebase: babybear-labs gathers Jev architecture reading, Laya alternatives and ports, playgrounds, tiny decision-model projects and apps built on System One decision models, with no README prose beyond the links.
Jev Guides & Articles#community#github#links
Community
babybear-labs/system-one
babybear-labs/system-oneAn HTML repository whose GitHub description calls it the SystemOne Blueprint — a plan for turning any LLM into a fast, calibrated decision engine. No README, topics or license were captured in the round-eleven sweep, so the method behind it cannot be inspected.
Jev Guides & Articles#community#github#system-one
Community
getclients4u-lab/systemoneHTML
getclients4u-lab/systemoneHTMLA Korean Slidev course — 59 slides, 110 minutes plus deep-dive Q&A — with three standalone Jupyter notebooks that take Jev decision models from NLL/Brier/ECE calibration to training a Qwen-based Jev-compatible model with Unsloth and testing its HTTP API.
Jev Guides & Articles#community#github#korean
Community
heury/jevJupyter Notebook
heury/jevJupyter NotebookA short personal note repo about Jev: it argues that a fast decision model beats a generative LLM for small choices such as picking the best phone from a list, and can also choose which tool to use inside larger video or essay tasks.
Jev Guides & Articles#community#github#notes
Community
keshav123333/jev
keshav123333/jevA Chinese-language book repository on putting Jev decision models into practice, published as an HTML project on GitHub. Grounded on GitHub metadata only: 0 stars, created and pushed 2026-10-11, and no README text captured in the digest.
Jev Guides & Articles#community#github#book
Community
porter-ai-studio/jevHTML
porter-ai-studio/jevHTMLThe community hub for System One decision models, live at systemone.dev. It teaches building with models that answer typed questions about a program's state using calibrated probabilities instead of generated text, and its samples work unchanged with Clef and Jev.
Jev Guides & Articles#community#github#docs
Community
systemonedev/systemone.devPython
systemonedev/systemone.devPythonThe documentation site for OpenDecision, an open-source decision engine that runs locally and answers typed questions about text, JSON, documents and images, exposing Python, HTTP and TypeSafe-compatible interfaces with Choice, Noul, Score and Relation primitives.
Jev Guides & ArticlesDocs#community#docs#local
Community
The Jev Day release post: Jev 1.14.0 under jev-preview plus three danger-zone features — composable images on both models, the box question type on 1.14 only, and opt-in 262k context.
Jev Guides & ArticlesArticle#official#release#vision
Official
MCP.so's explainer on Jev: how Choice, Score, and Noul differ from text generation, where a decision layer fits in retrieval, verification, routing, and ranking, and the four tools in the community Jev MCP server.
Jev Guides & ArticlesArticle#community#mcp#article
Community
Index of all 270 entries
- High-Speed Decision Pipelines: Jev and Prefill-Only Inference from Scratch
- Welcome to Jev
- Jev Hub — shiiivvaam
- Jev Workshop
- Awesome Jev · jev.info
- Jev TypeSafe AI Tutorial
- HiddenLayer: Jevil in the details - System One model security
- HiddenLayer: Jev Talking - security of decision models
- Pillar Security: the agent with no LLM inside
- Rogue Security: what Jev means for agentic security
- ThinkThen: why people are excited about Jev
- Contextually Aware: Jev - the witchcraft is that it stops talking
- BIG CHANGE: Jev and AI decisions inside everyday software
- VentureBeat: paying LLMs to write text for decisions needing labels
- VentureBeat: prompt injection can sway Jev's agent verdicts
- Vega: Jev gate closed up to a third of triage alerts
- TWIML #779: Diogo Almeida on Jev and machine-native AI
- MAD Podcast: Diogo Almeida on AI that's 95% Einstein, 5% Mr. Bean
- Exa: Law://WhatsNext tests Jev on legal contract review
- Progressive Robot: TypeSafe's $7.5B valuation, by the numbers
- Braintrust docs: Trace Jev and use it as an LLM judge
- Langfuse docs: Jev as a decision-model evaluator
- Langfuse: OpenTelemetry tracing for TypeSafe Jev
- Blackwell Systems: adversarial diligence on Jev's decision layer
- JevResearch: Jev is not frontier, but still worth your attention
- LessWrong: testing Jev as a trusted monitor for AI control
- Vilinski: decision models compared on accuracy, cost and speed
- ThursdAI: Jev's System 1 launch, with Allie Laabs
- The Merge: Jev as intelligence-infused if-statements
- How I AI: 8 real use cases for Jev
- Jev News evals desk: every published Jev measurement
- Jev News compare: Jev vs Laya, Luna and the rest
- System One: An Interactive Guide
- Jev Ecosystem
- Awesome System One Models
- Getting started with Discriminative (Jev/DiffusionGemma) models
- Awesome Clef
- System One (animated course)
- Jev × Laya Research Notes
- system-one (babybear-labs)
- SystemOne Blueprint
- Jev Decision Models Course (Korean)
- Jev — notes on fast small decisions
- Jev 決策模型實戰 (porter-ai-studio)
- systemone.dev Community Hub
- OpenDecision — deepanwadhwa.github.io
- Jev: For the Builders AND Dreamers (Jev 1.14)
- What Is Jev? TypeSafe's System One AI Model Explained
- Decision Models: The Fast Layer for AI Agents
- Two-Tier AI Agents: Why You Need Two Models
- System One API on DeepInfra
- How I Stopped Misclassifying Jobs with Jev
- What Is Jev AI? A Practical Getting-Started Guide
- LLMs Generate. Jev Decides. Inside a Java Invoice App
- What Is Jev? The 2026 Complete Guide
- Jev as a System One Model: Latent Space Interview Notes
- Jev Explained: RLCD Internals and Local Runners
- Jev Usage Walkthrough: API, SDK, and jev-review
- Jev Complete Guide: API Keys and Confidence Routing
- Jev as an Elasticsearch Search Reranker
- What Jev's Zero-Hallucination Claim Really Means
- Jev on BigQuery via Cloud Run
- I Tested Jev on Entity Resolution
- TypeSafe AI on Crunchbase
- Jev AI Model on Crunchbase
- Jev Day 2026
- Jev 1.14 Rollout Notes
- Jev Wiki — jevwiki.ai
- Jev Wiki Consult Guide
- Jev Agent Integration Playbook
- Jev News
- Find the Jev-Shaped Problems in Your Software
- OpenAI Decisions API Docs
- Awesome Open System One
- Jev + Herdr: Practical AI Agent Orchestration
- Jev Projects
- Mastering TypeSafe Jev
- A Jev gate belongs in a hook, not MCP
- Jevfast
- Building a Harness with Jev
- Laya.tools
- Build your own decision model
- Ollaya Documentation
- TypeSafe for Enterprise
- Contact TypeSafe
- Accessibility Statement
- TypeSafe Thoughts Blog
- TypeSafe A raises Series AI
- How Jack & Jill Cut Candidate Screening Costs By 88% With Jev
- Jev on Product Hunt
- Jev for QA
- TypeSafe Jev practical guide
- Jevidence
- Understanding Jev
- The 16 Jev Design Patterns
- TypeSafe Jev AI: System One Model Guide
- Jev Is Open, No Waitlist
- Signups Still Closed
- Signups Reopened
- New Signups Lose the Free Credit
- TypeSafe Team
- Lies, Damned Lies, and Benchmarks
- Terms of Use
- Master Customer Agreement
- Privacy Policy
- Acceptable Use Policy
- Data Processing Addendum
- Awesome Decision Models
- What TypeSafe got right with the Jev launch
- System One models for prod, not god
- CUA-S1 on Hacker News
- Von on Hacker News
- Ask HN: what is Noul
- LocalLLaMA: Jev as a classifier
- LocalLLaMA asks mods to curb Jev ads
- InfoQ: Jev returns typed probabilities
- Real Python: Jev in Python
- DataCamp: a typed ticket router
- OpenRouter: what Jev returns
- Vercel: Jev for Python engineers
- Jev In The Wild
- Jev-trading
- Jevsome Projects
- Jev Cookbook — datawhalechina
- Jev Hub — mizzlelover
- Jev Directory
- Fable Jev
- Jevusecases
- Documentation
- Parallel Constrained Decoding (Qwen2.5-1B-RLCD)
- Computer use built on Jev
- Jev Typewriter launch
- Jev vs Qwen on Cerebras
- Hide posts on X with natural language
- agentgateway Jev guardrail example
- Jev Classifier — jevclassifier.vercel.app
- Dmx.to
- Model router CLI
- Support ticket classifier
- ConsoleChaosRacing driven by Jev
- skillbox + Jev skill routing
- jev-rabbit PR review bot
- TrainLCD Jev rerank
- StarCraft Brood War WASM MCP demo
- Spanish AEPD corpus test
- Tabletop MMORPG action mapper
- Jev in 34 seconds
- Wiki-link clicker demo
- Verdict (Open-jev) launch thread
- Search with Jev and Milvus
- Best Jev Projects (jevbest.com)
- Jev wiki — jevai.wiki
- Show HN: Decide – Jev decisions in the shell
- Show HN: onesie – pipeable CLI for System One models
- Show HN: Jev as the Bletchley Park Analyst
- Show HN: Worklaude – learn by speaking
- Calibrating Jev as a Code Reviewer
- TypeSafe's Jev Can't See. I Made It Guess What I Drew Anyway — news.ycombinator.com
- Show HN: Jev, Fly Me to the Moon
- Awesome TypeSafe
- OpenAI answers TypeSafe's Jev with a Decision API built on Luna — thenewstack.io
- OpenAI Answers TypeSafe's Jev with a Decision API Built on Luna — news.ycombinator.com
- Typesafe's Jev is the fish at the poker table
- Show HN: Jev-CLI – CLI wrapper for JEV typesafe AI model
- What Is Jev? Inside TypeSafe's Decision-Only AI Model
- A deep dive into Jev, TypeSafe's System One model
- OpenAI's Jev clone could help the frontier lab stop its swarming agents
- TypeSafe Jev explained
- Jev by TypeSafe AI
- Jev model explained
- What is Jev?
- Jev on AI Gateway
- Jev vs Kev on Opper
- Local Laya vs hosted Jev
- I built non-autoregressive decision models with RL a year ago
- Jevify skill
- I was impressed by Jev, please explain why I shouldn't be
- How to build a Jev-style classifier with DiffusionGemma
- Minecraft PvP against DiffusionGemma-as-Jev
- Detecting compromised AI coding agents with Jev and Gryph
- Jev vs Kev tested side by side
- Jev and System One Models: Calibration Beats Accuracy
- Does an open-weight decision model beat a hosted one?
- Jevgpt — news.ycombinator.com
- We tested Jev on 100 real agent tool calls
- I turned Jev into a (lousy) chatbot
- Using Jev for evals in Datadog
- Jev vs. GPT-6 Astra
- Typed judgments or agentic loops?
- Jev introduces a new shape of LLM
- Jev can't be calibrated — alexmolas.com
- A Jev-like wrapper for LLMs
- GLM-5.3-Flash as a decision model
- Detecting compromised coding agents with Jev
- Seven practical Jev use cases
- Teaching a decision model to cook
- Show HN: Jev Plays Pokémon Red
- A Jev-like wrapper for LLMs, including vision
- Turning GLM-5.3-Flash into a Jev-like model
- Jev can't be calibrated — news.ycombinator.com
- Jev vs Claude Opus 5 on Banking77
- Jev vs an LLM on support triage
- Jev hands-on against Sonnet 5
- What Jev can do inside an agent harness
- Jev on 100 real agent tool calls
- Moderating a site with Jev
- Jev in 25 lines of Python
- Will OpenAI eat Jev's lunch?
- OpenAI is well positioned to fast-follow Jev
- Ollaya on Hacker News
- Jev in 25 lines, on Hacker News
- JevBench on Hacker News
- Jev-based code review on Hacker News
- Jev on 770 AITA posts
- Jevper on Hacker News
- Jevdit on Hacker News
- Cookbooks Index
- Jev with Coding Agents
- Legal
- Jev Radar
- TypeSafe's Jev Explained: Why AI Decisions May Not Need a Chatbot
- Jev explained for the normies
- Eight SEO workflows for Jev
- TypeSafe Jev: the First Decision-Only Model Class, Benchmarked and Priced
- Typed Decisions, Not Chat
- What Is Jev? How to Implement TypeSafe AI's Decision Model
- He Says He Co-Invented ChatGPT. His New AI, Jev, Won't Write a Word.
- JEV is a revolution for SEO
- TypeSafe AI — typesafe.ai
- Manifesto: Composable AI
- The Bitterest Lesson
- TypeSafe AI Discord
- TypeSafe AI on X
- TypeSafe AI on LinkedIn
- Awesome Jev — yibie
- Awesome Jev by TypeSafe
- Awesome Jev / TypeSafe
- Agentic RL 零基础教程
- Awesome Jev Tools
- Awesome Jev — heyjunpenn
- Made with Jev
- Awesome Jev — awesomejev.com
- The Year in AI Papers
- Jev (AI model)
- TypeSafe AI debuts model for machines that plays Doom
- TypeSafe AI's Jev offers an alternative to LLMs that claims to be 193x faster and 445x cheaper
- [AINews] Jev: a “System One Model” that only decides/classifies/routes/scores — >100x faster, >200x cheaper than small frontier LLMs
- Introducing System One Models and Jev
- TypeSafe AI's Jev Is Not an LLM — And That May Be the Point
- Jev: TypeSafe's System One Model Explained
- AI multiple choice, not essay writing
- Six uses that stuck after 60 days
- The open System One roundup
- Where the Jev discussion happened
- API Reference
- Models
- System One — docs.typesafe.ai
- AI Primer: RLCD and Calibration
- TypeSafe Is Out of Stealth
- Jev Python Tutorial: Classify and Score Requests
- How to Use Jev: A Practical Guide
- AI That Doesn't Talk: A Plain-English Guide to Jev
- Jev as a Really Smart Switch Statement
- Jev Projects Roundup Thread
- Classify, Route, and Score with Jev and AI SDK
- A Deep Dive into Jev
- Exploring Jev for AI-Driven Mobile QA
- Launch: Introducing System One Models & Jev
- TypeSafe Documentation
- Quick Start
Start here with the Jev AI model
Featured entries in guides & articles.
The Jev Day release post: Jev 1.14.0 under jev-preview plus three danger-zone features — composable images on both models, the box question type on 1.14 only, and opt-in 262k context.
Jev Guides & ArticlesArticle#official#release#vision
Official
An unofficial, agent-maintained knowledge base about TypeSafe's Jev, served as plain Markdown so a coding agent can fetch it to judge whether Jev fits a project, then build against the HTTP contract, SDKs, and cookbooks.
Jev Guides & ArticlesDocs#community#wiki#agents
Community
A desk recording news, benchmarks, and listed API prices for TypeSafe's Jev and other decision models, with each figure linked to the page that printed it. Updated October 15, 2026, and not affiliated with TypeSafe.
Jev Guides & ArticlesDocs#community#news#benchmarks
Community
Jev AI model articles
Original guides that go deeper on Jev guides & articles.
The typed-answer shape removes a category of data risk, not all of it. Zero data retention per surface, the legal set to read, and the controls that remain yours to run.
Jev Guides & Articles#privacy#compliance#legal
Read article
TypeSafe serves Jev from one API. A second tier of independent sites wraps it with their own keys, credits, and playgrounds. How to read the disclaimers before you paste a key.
Jev Guides & Articles#ecosystem#trust#hosting
Read article
The first ten days produced three receptions that rarely meet: a Product Hunt launch, a 620-point Hacker News thread, and a r/LocalLLaMA that doubted the framing. Reading them together.
Jev Guides & Articles#launch#community#reception
Read article
From the Jev community
Watch walkthroughs, read the threads, and see what builders are posting.
YouTube: Gary Explains the catch: Jev understands natural language but answers with structured values and confidence.
YouTube: Sam Witteveen on System 1 thinking, then Choice, Score, and Noul demos, and chained actions.
YouTube: Nate Herk compares speed and cost against ordinary models, then builds an X feed classifier and a paper-trading prototype.
Hacker News: Spoken-language learning with video scenes branching on TypeSafe Jev.
j_rcht1 pointShow HN: Worklaude – learn by speaking; video scenes branch on TypeSafe JEVRead the thread on Hacker NewsHacker News: OpenAI's Luna Decisions API framed as a fast follow to TypeSafe's Jev wave.
matt_d6 pointsOpenAI Answers TypeSafe's Jev with a Decision API Built on LunaRead the thread on Hacker NewsHacker News: Nikola Balić on what made the Jev launch easy to try and easy to share.
nkko2 pointsWhat TypeSafe Got Right with the Jev LaunchRead the thread on Hacker NewsHacker News: Pointer to a DiffusionGemma plus vLLM tutorial for a Jev-shaped classifier.
1 pointHow to build a Jev-style classifier with DiffusionGemma and vLLMRead the thread on Hacker News