Transforming complex model dependencies into semantic descriptions using AI enhances the understanding and predictive capabilities of the system. By proactively using AI to describe subparts of the model, such as runway and burn, the system gains insights into the interdependencies within the model. Providing more context to the AI model leads to better decision-making and the ability to identify the right factors to adjust first. This approach showcases a valuable direction in enhancing AI applications within products.

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