Triage across 1,500 emails
About 1,500 emails sorted in one run.
Ryan Vogel ran about 1,500 emails through Jev and sorted them by what each one needed.
About 1,500 emails sorted in one run.
Ryan Vogel ran about 1,500 emails through Jev and sorted them by what each one needed.
A fast scanner that reviews code for correctness, security, reliability, compatibility and test gaps, with actionable feedback. Supports the Jev API and local models.
Brian Luby · Triage & routing
Brian Luby
GitHub
Triage & routing
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Jev triages streaming logs into page, digest or resolve, cutting alert noise and paging humans only for high-confidence incidents. About $1–3 for 1M events a month.
Mu99Ti · Triage & routing · $1–3 per 1M events/month
Mu99Ti
GitHub
Triage & routing
$1–3 per 1M events/month
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npm install is the scariest command in your terminal. One typo → lookalike package → malicious postinstall → secrets gone. jev-sec-audit flags it in milliseconds using Jev, a System 1 model built for fast decisions, not chat. One step in GitHub Actions. Open source.
@Dhanush_Nehru · Triage & routing

@Dhanush_Nehru
X post
Triage & routing
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A local Codex router asks Jev to choose the next model and reasoning effort while forwarding the complete conversation to that model.
0xNatoshi · Triage & routing
0xNatoshi
GitHub
Triage & routing
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this model is actually insane at email classification i tested it on 1500 of my own emails to see how well it works and I am blown away
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