Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
Jev by use case
Evaluation
5 curated entries. Measure model behavior: evals, calibration, consistency, and observability.
By format
- Repos & sites3
- Articles2
5 resources
59GitHub stars
A local gateway that forwards /v1/systemone to TypeSafe, stores each call in SQLite, and draws the calls on a live map.
Tools & CLIs#community#javascript#local
Community
andududu/jeviewJavaScript
andududu/jeviewJavaScript3GitHub stars
A 770-post benchmark that scores Jev, Sonnet 5, GPT-5 nano, and two local models on Reddit verdicts with weighted Brier scores.
Benchmarks & Evaluations#community#python#evaluation
Community
dchristopoulos/jev-aitaPython
dchristopoulos/jev-aitaPython3GitHub stars
A sentiment study of whether Jev's stated confidence matches accuracy, comparing raw scores with Platt scaling and isotonic regression.
Benchmarks & Evaluations#community#python#evaluation
Community
AnthusAI/Jev-CalibrationPython
AnthusAI/Jev-CalibrationPythonDatadog's walkthrough of one Jev rubric that scores every criterion in a single request, then runs as online evals on live spans and as offline experiments.
Guides & ArticlesArticle#community#article#evaluation
Community
Sam Reghenzi's product-taxonomy benchmark: a Jev Choice at every level versus a gpt-5.2 agent that descends the tree and can be sent back by a judge.
Guides & ArticlesArticle#community#article#evaluation
Community
Watch: Jev in action
Video walkthroughs and demos from the community.
YouTube: Ray Amjad puts Jev inside an agentic coding loop and looks at what it costs to run.
YouTube: David Ondrej explains the architecture behind Jev and how to build a business on it.
YouTube: Maximilian Schwarzmüller on the new kind of model that beats LLMs in the areas it was built for.
Discussions
Threads from Reddit and Hacker News about building with Jev.
Hacker News: Jev-Leftpad: the joke that measures how cheap decisions are
fka233 points · 87 commentsJev-LeftpadRead the thread on Hacker NewsHacker News: A product-taxonomy migration from a gpt-5.2 agent loop to one Jev Choice per level.
sammy_rulez2 pointsReplacing an agentic classification loop with Jev: 7x fasterRead the thread on Hacker NewsHacker News: Show HN: OpenDecision, a local decision model with a Doom demo.
dwa35926 pointsShow HN: OpenDecision – a 400M zero-shot model makes local decisions, plays DoomRead the thread on Hacker NewsHacker News: Show HN: Agent Chaperone screens tool calls and results with Jev before the agent sees them.
sepehrsafari5 pointsShow HN: Agent Chaperone – Screen AI agent tool calls and results with JevRead the thread on Hacker NewsFrom the community
Posts from builders shipping with Jev right now.
Browser Use Ultrafast, powered by Jev
A really smart switch statement
hype-free explanation of jev: jev does not replace gpt / claude jev is just a *really* smart switch statement like if 2016 ml classifiers got 2026 levels of intelligence it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate * = and by Show more
@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
When a designer gets Jev
when a designer gets access to Jev
Full Jev video tutorial
Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor
The case against Jev-scored compaction
This is a terrible compaction strategy that fundamentally doesn't understand how compaction and context management work. Seems like a lot of people are confused so let's break this down. 1. Compaction isn't a filter The role of compaction is to clean up history to keep the Show more
found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant
Classifying rows in DuckDB
I made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table about 10sec for 1k rows ~ better than using an LLM, way more ergonomic than a classifier game-changing for data analysis!
