Laya is free and local. Jev is hosted and more accurate out of the box. Both of those statements are true, and the choice between them is not obvious. Here is the comparison with the baselines named, including the benchmarks that are not comparable.
A local decision model is the right place to catch prompt injection, destructive actions, and stuck loops in your own agents. Here is how to build the guardrail layer, including the selective-coverage trick that raises accuracy where it matters.
Internal linking is thousands of yes/no decisions, which is exactly what a decision model is for. It is also where Laya's wide-option weakness bites hardest. Here is the workflow, the limit, and the cascade that works around it.
A full content audit is a routing problem with four possible answers. Here is how to run every page through a local Laya decision, plan the throughput, and avoid the two ways this workflow produces confident nonsense.
Score what ChatGPT, Perplexity, and the other engines say about your category without sending any of it to a third party. Here is the offline GEO scoring workflow, the presence taxonomy, and how to set a threshold on a model whose confidence runs high.
Similarity search finds passages that look related. It does not find passages that actually answer the question. Here is how to add a local Laya reranking stage, how to measure whether it helped, and where it fits in SEO work.
Fine-tuning is the one capability that makes an open decision model genuinely different from a hosted one. Here is how to build a label set from your own review decisions, train on a laptop, and avoid the trap that inflates every published benchmark.
Classify thousands of queries by intent with a local model, including the cascade design that works around Laya's twenty-option limit, the confidence threshold you set from your own data, and how to measure whether it is actually right.
Laya has no per-call cost, but self-hosting is not free. Here is the real cost model: latency by hardware tier, throughput planning, a break-even calculation, and the point where a hosted API is still the better choice.
Laya is a free, open-source decision model you can run on your own laptop. Here is what it does, how to install it, how to wire it into your agent, and the two failure modes that will bite you if you skip the setup.