Optimize for value per trusted outcome,
not cost per token.
This is the map, at the altitude of a first read: every face, every cubelet, every dimension, named and defined. The book is where each one becomes a metric, a pattern, a decision, and a way to prove it.

Building the Trusted Outcome Economy with Enterprise AI
Enterprises can measure what GenAI costs to the cent, and still can't say what it's worth. So they optimize the only number they can see, cutting tokens while quality, trust, and rework quietly erode. The Value Cube is the operating manual for the other way: score the six faces, keep them honest with five cross-cutting dimensions, run the lifecycle, apply the patterns, and refuse to claim a saving until the evidence earns it.
Also coming to Flipkart and further channels.
6 faces × 9 cubelets = 54 capabilities, kept honest by 5 cross-cutting dimensions · the faces are interdependent, and improving one without watching the others creates false optimization.