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Researchers convert GLM-5.3-Flash into a Jev-style single-pass decision model

A technical post describes a method for turning an off-the-shelf large language model, GLM-5.3-Flash running on Privatemode, into a decision-making model that outputs a typed choice with confidence scores in a single forward pass, rather than generating a full JSON response. Benchmarked against public datasets, the setup reportedly matches TypeSafe's specialized Jev model in decision accuracy and speed, while also supporting typed decisions on images, which Jev cannot do.