AI Video Production

At the beginning of a project, AI can be used to build rough visual structures before any filming starts. This includes generating storyboards, testing framing and scene composition, and creating “dreamcast” versions of characters to evaluate how specific types or looks might work on screen. These materials are not final assets, but they help make decisions about casting, locations, and overall visual direction without committing production resources.

During production and post-production, generated elements are combined with filmed material. This can involve extending environments, adding details, or inserting synthetic characters into live-action shots. In some cases, entire sequences are built from generated images or animations when physical production is not practical.

The main limitation of AI output is inconsistency. Generated frames often vary in structure, lighting, and character appearance. To make the material usable, it has to be stabilized and aligned with the logic of real footage. This includes matching perspective, camera movement, timing, and color, as well as maintaining continuity between shots.

The result depends on how these elements are controlled and combined. AI works more reliably when used as a flexible layer within a defined production process, and less reliably when expected to produce finished sequences without additional correction.