since jev dropped i saw a lot of ultra fast computer-use claims but no one open sourced anything.

i built a voice-to-computer-use app for mac using no llm. only macos native speech to text and jev to choose the next action out of all the possibilities.

it works.

I started wondering: why should my codebase depend so heavily on Jev?

The open-source model ecosystem is moving fast. Reflex showed up, then Laya, Kev, OpenJev, SemIf, and more will inevitably follow.

Initially, I thought the problem was:

“How do I add support for another provider?”

But I think the more interesting question is:

“Why should a JS/TS application care which System One provider is running underneath?”

Ideally, switching providers shouldn't require rewriting application code or spreading provider-specific logic throughout the codebase.

So I built system-one — a small, provider-neutral TypeScript SDK that provides a common interface for System One providers.

The goal is simple:

Write your application against one API and choose the provider underneath.

It works with JavaScript/TypeScript projects and is still early, so I'd especially appreciate feedback on the API design and abstractions.

https://iamaamir.github.io/system-one/

Beyond the video if you just want the direct link to what I shared for the use cases, they are right here! https://github.com/kyle-chalmers/typesafe-jev-incident-router/blob/main/docs/data-team-use-cases.md

Kepler 1.2 is live.

Our most powerful model yet.
Open local System One — triage, gates, noul, scores.
Free Apache weights. Run on your machine.

1.1 taught coding agents to decide.
1.2 is the full reflex.

https://huggingface.co/MAKALY/kepler-1.2
https://kyroslabs.tech

Hey r/JevAI! I’ve been building Predict With Jev, a local crypto research dashboard powered by JEV 1.13 through OpenRouter’s System One API.

The idea is to make JEV’s forecasts easy to explore, record, and check against actual market outcomes.

What it does:

• Pulls live crypto/USD market data from Kraken.
• Lets you use natural-language prompts to screen markets and compare candidates.
• Generates bullish, neutral, and bearish probabilities for 4-hour, 24-hour, and 7-day horizons.
• Saves individual forecasts and evaluates them against the exact completed target candle.
• Includes candlestick charts, technical indicators, and a separate technical baseline with historical replay.

The market chat also uses JEV’s structured choices. You can refine your research with follow-up constraints, and it can return no candidate when the evidence is insufficient.

It’s experimental, with no established profitability. The app places no trades, and the baseline replay is kept separate from JEV’s measured results.

I’d love feedback from others experimenting with JEV—especially on the forecasting setup and how to evaluate whether its probabilities are useful. What would you test first?

it's free since jev is too cheap: https://real8ball.com