Researchers propose a new approach to building industrial agents, called OneModel. Unlike traditional modular systems that break down complex tasks into separate components, OneModel consolidates this logic directly into the model parameters. This is achieved through Continual Pre-training (CPT) and logic-compilation SFT, which transform fragmented business rules into intuitive model reasoning within a unified attention space. The authors claim that OneModel can replace brittle engineering logic with internalized cognitive intuition, offering a scalable blueprint for transitioning industrial agents from complex workflows to unified model architectures. --- Why it matters: This matters because it could lead to significant improvements in the efficiency and accuracy of industrial agents, which are used in various applications such as customer service chatbots, financial systems, and more. By internalizing complex business logic into models, developers may be able to reduce latency, increase accuracy, and simplify maintenance. Source: https://arxiv.org/abs/2608.20350