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)
TipTour
A macOS menu bar app that turns a typed click task into desktop actions: Jev picks from locally detected controls, TipTour executes and validates each action, and a separate Gemini mode handles voice.
- Category
- Tools & Integrations
- Published by
- Community
- Author
- milind-soni
- Added
- 2026-09-22
Tagscommunityswiftmacoscomputer-use
Highlights
- JEV mode chooses among locally detected screen labels and locations for single, double, or right clicks without sending screenshots.
- The loop stops when Jev chooses none, reports completion, hits an execution failure, or reaches its 12-action limit.
- A separate Gemini realtime mode handles voice, typing, shortcuts, scrolling, and text edits, and requires microphone access.
- Keys stay in the macOS Keychain, and the app has no shared keys or hosted key proxies.
- JEV is the default mode, supports only click actions, and does not require microphone access.
Watch out
GitHub reports a non-standard license (NOASSERTION) while the README states MIT. Requires macOS 14.2+, Xcode, Accessibility permission, and Screen Recording for local detection; Jev cannot see images or write replacement text and acts without a confidence cutoff.
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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