The Jev Revolution: How Engineers at Glean, UiPath and Workday Are Building With System One Models

At the AI Engineer Code Summit, TypeSafe AI CEO Diogo Almeida argued that system one models such as Jev, which return structured choices, scores or probabilities rather than generated text, should be called directly from application code to automate tasks more reliably. Glean's Chinmay Goyal said Jev suits zero-shot flexibility because changing decision taxonomies do not require repeated fine-tuning, while UiPath showed Jev ranking document chunks through a tournament of calls that finished in under a second. Workday's Scott Roberts demoed an interface that fills in a time-off card as the user types, which he described as moving from predicting what you want to say to predicting what you want to do.