I used Jev to solve a problem every agent eventually runs into: reading logs. 22.8M lines, and running an LLM on every one would've cost $1,120. Tocsin groups them into 11,812 repeating patterns, then asks Jev about each pattern once. 6 minutes, 64 cents, 123 patterns that actually needed to be looked at. github.com/TPAteeq/tocsin The paging policy is just a prompt. You tell it what should wake someone up at 3 am and what's just another log line.

Every new pattern gets one Jev call. I wanted the output to be something an agent could actually use, so every alert is JSON with the pattern, an example line, frequency, and the scores behind the decision. Point the webhook at your agent runner, and it gets 123 alerts instead of 22.8M lines to grep.