Not every AI task needs an LLM: 'decide' may become a standard model call
bigdata · x · 2026-09-24
Ben Lorica (Gradient Flow) argues much AI automation needs a small decision, not generated text — is this spam? which team gets this ticket? Forcing LLMs to emit structured output still generates token by token, adding latency and cost at scale. Jev is built for these micro-decisions: fixed answer sets with probabilities, latency in tens/hundreds of ms, very low input cost — though its benchmarks are mostly self-reported. Open alternatives appeared fast (Laya, several OpenJev-style projects), with Jev's edge in quality and calibration. Lorica predicts "decide" joins generate, embed, and rerank as a standard model call, where differentiation will come from quality, reliability, and trust rather than interface ownership.
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