Glossary of AI production terms

A plain-language glossary of the terms used across AI-native production. Each definition is written to stand on its own.

Core terms

AI-native production

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.

Generative pipeline

The chain of AI models and tools used to produce environments, characters, and motion for a given shot or sequence.

Hybrid production

A production that combines real capture — performers or locations — with generative pipelines, used when the brief genuinely needs a real element.

Digital replica

A synthetic version of a real performer's likeness or performance, which requires informed consent and clearance to create or reuse.

Plate preparation

Preparing and conforming source footage so it can be composited with generated or augmented elements.

Set extension

Building or extending an environment beyond what was physically captured.

Pre-visualization (previs)

A rough visual version of a sequence made before final production to plan shots, blocking, and timing.

Artifact cleanup

The finishing pass that removes generation errors — hands, edges, text, and continuity issues — before delivery.

Frequently asked questions

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.

What is a hybrid AI production?

A production that combines real capture — performers or locations — with generative pipelines, used when the brief genuinely needs a real element.

What is a digital replica?

A synthetic version of a real performer's likeness or performance, which requires informed consent and clearance to create or reuse.

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