I used Jev to solve a problem every agent eventually runs

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Grouped 22.8M log lines into 11,812 patterns with Tocsin, then asked Jev about each pattern once for 64 cents.

The original post

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

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under agents & workflows. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the agents & workflows page.

Related Jev cases

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post