@dianasaurbytes: Jev’s interesting bet: give up text generation to focus on decisions your software can use. Chat LLMs already support structured outputs. TypeSafe describes a deeper change: training for calibrated decisions, a parallel sampler, and typed questions that return choices, scores, and probabilities. My take: let the model interpret the customer’s message. Keep transaction checks, refund rules, and the final action in code. That pattern isn’t exclusive to Jev. Its design has to earn its place against a structured-output LLM on your actual workload. Typed answers can still be wrong; Jev doesn’t promise determinism. Free guide: the technical differences, what the probabilities mean, and what to test before switching. https://dianasaurbytes.com/notes/jev-vs-chat-llm Follow @dianasaurbytes for AI news for people who ship. #Jev #AIEngineering #AIInfrastructure #AIAgents #StructuredOutputs

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