Jev vs Snap for agent micro-decisions
The author says Snap's 384K decision context is 12x Jev's and better suited to instant calls like ticket triage, lead screening and contract clause checks.
damn Jev just got lapped. Snap now has 12x Jev's decision context. and these decision models mog LLMs for micro-decisions where your agent needs an instant answer: > which ticket needs a human? > is this lead worth chasing? > does this contract clause break our rules? otherwise, you're just wasting time and tokens waiting for Claude to generate an answer when your agent just needs: > yes/no > a choice > or a score its basically like hiring a rocket scientist to sort support tickets. and with a massive 384K tokens, Snap can factor in more customer history, past deals and company rules when making those calls.
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