The overall goal of this insight maker model is to help stakeholders understand the tradeoffs involved in deploying AI by demonstrating how resource costs translate into tangible efficiency and effectiveness improvements, which in turn yield financial benefits. By comparing the cumulative resource consumption to the performance gains, decision-makers can evaluate whether the benefits justify the costs and make informed choices about scaling or adjusting AI-related resource usage.

 The lack of recognition of efforts is a plague of society, an immense amount of effort goes unrecognized. Meaning there is constant input on behalf of an individual with a varying degree of output. This is a highly concerning situation for the system as a whole. For a positive feedback loop to take place, inputs must balance with outputs, respectively. 

In this model, inputs balance with outputs creating a dynamic contribution.