Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x)
SemDecide
A CLI that turns Jev into Unix pipeline primitives: is, choose, score, filter, and guard commands return typed verdicts, stable exit codes, and versioned JSON without prompt or parsing glue.
- Category
- Tools & Integrations
- Published by
- Community
- Author
- sharziki
- Added
- 2026-09-22
Tagscommunitypythoncliroutingguardrailssecurity
Highlights
- Commands cover semantic predicates (is), routing among named options (choose), ordered rubrics (score), JSONL filtering (filter), and agent safety (guard).
- With --json, results carry a schema_version, probability, threshold, model id, and token usage; failures emit a versioned error object on stderr.
- Input is rejected before Jev if it is empty, binary, invalid UTF-8, oversized, or malformed; defaults are 1,000,000 bytes, a 10 s timeout, and 2 retries.
- The guard recipe checks authorization, destructiveness, ambiguity, secret exposure, and consequence, then local code returns allow, escalate, or block.
- The runtime is dependency-free and installs from the signed-off GitHub release wheel because it is not yet on PyPI.
Quickstart
bash
printf '%s' 'Login from a new country, followed by payout changes.' \
| semdecide is 'This describes a plausible account takeover'Watch out
MIT-licensed and independent, not an official TypeSafe product; needs Python 3.10+ and a TYPESAFE_API_KEY, and the README warns it is not an authorization system, sandbox, or security proof.
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From the community
Posts from builders shipping with Jev right now.
Beating Gemini Flash Lite on an eval
Browser Use Ultrafast, powered by Jev
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 ↓
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