AI Insights & Guides

Ollaya runs open decision models on your own hardware. Learn how it works, which models it supports, and when a local setup makes sense compared with Jev.

Looking for a Jev alternative? Compare Laya, Kev, Decider, Winnow, OpenJev, structured-output LLMs, and classifiers by deployment needs and practical trade-offs.

Use Jev as a Judge to check AI answers against evidence, build clear scoring rubrics, and compare typed evaluation with a traditional LLM judge.

A practical guide to the OpenAI Decisions API: what it does, where it fits, what remains unpublished, and how it compares with Jev for everyday AI decisions.

Is Jev open source? Learn what is public, why the official weights are not downloadable, and how independent open source decision models compare with Jev.

Learn what Jev Router does, how its model and reasoning choices work, how to connect through an API, and when to choose Jev or another router instead.

What is Laya MLX? Learn how the Apple Silicon port handles typed decisions, where its speed claims come from, and how it compares with Laya and Jev.

What is OmniJev? A plain-English guide to its visual decision features, 0.8B, 2B, and 4B models, real limits, and how it compares with Jev and Jev-Omni.

Learn what JevBench measures, how to read its four scores and model rankings, why sealed tests matter, and how to check a real decision in the Jev AI Playground.

A plain-English guide to Winnow-12B, its local typed decisions, Q8 and BF16 builds, vision support, JevBench results, and how it compares with Jev.

Compare Jev AI, Djev, Laya, OpenJev, and SemIf through real decision tasks: typed answers, images, local control, probability quality, and setup effort.

What is Jev-Omni? Learn how this open multimodal decision model handles text, images, audio, and video, how it compares with Jev and Djev, and what to test first.