Models and algorithms are chosen for the task at hand, the data available, the accuracy needed, the resources at hand and the environmental cost, with the choice justified; data is relevant, representative and unbiased, validated, pre-processed, documented and checked for quality without pause so that fairness, generalisability and robustness; lightweight, efficient solutions are preferred where performance is not jeopardised; and prototypes validate assumptions, architecture and integration early for rapid refinement.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.