Once a cadCAD model is created, and the system it represents is live, it can be used as a digital twin of that system for ongoing, up-to-date operational decision support and analysis. As more of our lives and load-bearing civilizational infrastructure relies on digital systems, we want useful, easy-to-deploy cadCAD models and digital twins to inform how these systems are built and operated. These models enable designers, developers, and stakeholders to build intuitions on how the systems they intend to deploy or use behave.

In the Token Engineering Reads Newsletter feature on cadCAD (https://blog.cadcad.org/token-engineering-newsletter/), we describe how cadCAD empowers engineering token-based systems:

"Well-engineered systems not only drive toward a desired outcome, but also keep a tight envelope of certainty around that outcome. However, systems involving people typically behave in ways designers do not expect, so extensive modeling and large numbers of repeated experiments are useful to observe and begin to understand emergent behaviors of these systems. Computer-aided design is required to identify and validate the respective mechanism and policy designs, and cadCAD, as a modeling framework and simulation engine, is designed to handle these experiments at any level of system abstraction.  As a result of using cadCAD in the design cycle of a token-based system, an engineer’s expertise is leveraged to allow users to accomplish informed decision-making at any point in time without requiring them to delve into the complexity of the underlying system. The token engineer can handle the operational intelligence of the ecosystem to ensure that incentives align and maintain the network’s equilibrium and independence."