AI Integration

AI woven through the platform itself — not bolted on per tool.

The platform AI layer, distinct from task-specific AI services: a model serving one task is a station tool; this layer is infrastructure.

The discipline that governs all of it: author structure, generate style. The 3D ground truth — cameras, layout, timing, identity — is authored deterministically; models are applied as controlled transforms over it, never as the source of structure. A model that invents the structure is a slot machine: when it's wrong you can't fix it, only re-roll. A model transforming authored structure is a machine tool: any piece re-runs without disturbing the rest.

Core code ontology

The ontology exposed to AI — agents that understand the entire pipeline, not one app.

Chat integration

Talk to the studio — ask, command, and review from chat.

Image creation & editing

Image models as controlled transforms inside the line.

Video creation & editing

Video models as controlled transforms inside the line.

3D creation

3D generation feeding real, editable production assets — never throwaway preview meshes.

Pipeline builds itself

The pipeline writes its own features and repairs its own bugs. This is what makes stop it, fix it complete: anyone can stop the pipeline; the pipeline fixes itself; a human judges the fix.

Examples needed

A worked stop-it-fix-it incident, and one authored-structure → styled-output example with the re-run-one-piece property demonstrated.