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Jev

Jev Can Now See Images. Here's What You Can Build With It

October 16, 2026 by Daniel Walsh
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Jev can now make decisions about images, rather than just text. You describe what it should check, supply a picture, and get a structured answer. A new box question type can also return coordinates around an object or relevant area. Read more

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I Tested Laya vs. Jev on 1,000 Real Support Chats

October 7, 2026 by Daniel Walsh
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I trained a small, open-source decision model on my own machine to do one job: pick the next tool in a customer support conversation. Training took minutes, and the training data never left my network. The model was Laya, which has roughly 420 million parameters. Those parameters are the internal values that training adjusts. Compared … Read more

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I Tested Jev Against 12 Local Decision Models. Here’s What I’d Use

October 1, 2026 by Daniel Walsh
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Small AI decision models are getting interesting. Models such as Winnow, Decider, and Laya can make decisions on your own hardware. That gives you options if you want to keep inputs inside your infrastructure, run without a network connection, or put a decision step directly into software and automations. But a local model is useful … Read more

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Master Jev Design Patterns With Practical Examples

September 27, 2026 by Daniel Walsh
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Jev isn’t a chat model. It’s a decision model. You give it context and a question, and it returns an answer that your software can use. That distinction sounds small, but it changes where AI fits in an application. A chat model might write a customer reply. A decision model can determine which team should … Read more

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Why I Switched My RAG Decisions to Jev

September 27, 2026 by Daniel Walsh
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A RAG agent does a lot of work before it answers a question. It searches documents, decides which passages matter, chooses whether to search again, and checks whether its answer matches the sources. Each step can involve a small judgment call. I used to rely on language models for many of those calls. They worked, … Read more

Categories Jev, Agentic RAG
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