Search an inbox by what you mean, not the words you type.
Nader Dabit shows Jev doing intent-based search in Gmail. For a very large inbox, he suggests letting semantic search or embeddings pull candidates first.
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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Jev is really good at intent-based search! How it looks in Gmail: (for a huge inbox you'd prob let semantic search / embeddings pull first but still much better experience)
Another crazy @typesafeai Jev example: Predictive spreadsheets Spreadsheets recalculate numbers, not meaning. Jev reads intent. Type "Urgency" at the top of a column and, as you type, it figures out you want each row rated from "no follow-up needed" to "urgent" in ~100 ms.