What does AI-native mean?
AI-native means built around generative pipelines from the ground up, producing finished work end-to-end rather than retrofitting AI onto a traditional pipeline.
A plain-language glossary of the terms used across AI-native production. Each definition is written to stand on its own.
Film and video production built around generative pipelines from the ground up, producing finished work end-to-end rather than retrofitting AI onto a traditional pipeline.
The chain of AI models and tools used to produce environments, characters, and motion for a given shot or sequence.
A production that combines real capture — performers or locations — with generative pipelines, used when the brief genuinely needs a real element.
A synthetic version of a real performer's likeness or performance, which requires informed consent and clearance to create or reuse.
Preparing and conforming source footage so it can be composited with generated or augmented elements.
Building or extending an environment beyond what was physically captured.
A rough visual version of a sequence made before final production to plan shots, blocking, and timing.
The finishing pass that removes generation errors — hands, edges, text, and continuity issues — before delivery.
AI-native means built around generative pipelines from the ground up, producing finished work end-to-end rather than retrofitting AI onto a traditional pipeline.
A production that combines real capture — performers or locations — with generative pipelines, used when the brief genuinely needs a real element.
A synthetic version of a real performer's likeness or performance, which requires informed consent and clearance to create or reuse.