The whole board

It helps to see the whole thing at once. The generative creative stack has five phases, and the model labs this book profiles occupy a slice of just one of them.

Development comes first, the writing, story, and pre-production tools, from the assistants people draft with to storyboarding and production planning. Then production, the largest and loudest phase, which holds not only the image and video models but the entire apparatus around them: aggregators, infinite canvases, realtime engines, voice and dubbing, lip-sync and avatars, music and sound effects, three-dimensional generation, world models, and the multi-shot tools that string single generations into narrative. After production comes post, meaning upscalingUpscalingIncreasing an image or video's resolution after generation, often with a model that invents plausible fine detail rather than simply stretching pixels., color, generative visual effects, AI editing, and the fast-growing layer of rights and provenanceProvenanceA verifiable record of how a piece of media was made and by whom, increasingly required so that synthetic content can be traced. tooling. Underneath everything sits inferenceInferenceRunning a trained model to produce output. The fast, cheap part of the model lifecycle, in contrast to training., the compute layer that serves every model. And at the end sits distribution, where the finished work reaches an audience.

The next chapter walks these boxes one by one, naming the companies inside each. The point of naming the phases here is only to fix the mental model, so that as you read on you hold this map in your head and remember that the model labs you just spent a book on are a deep look at one instrument in a large orchestra.

Two things fall out of the map immediately. The first is how much the model-centric view leaves out: audio is nearly half of the production phase and this book has barely mentioned it, and distribution is an entire phase the model chapters never touch. The second is how the phases relate: value tends to pool at the ends, in the products closest to the creator and the platforms closest to the audience, and to thin in the commoditizing middle where raw generation lives.

The rest of this part walks the phases the model chapters underplay. The workflow layer where creators actually work. The production pipeline as a chain. The audio pillar. Distribution. And the realtime and interactive mode that breaks the batch-generation frame entirely.