AI in After Effects: what actually saves time, and what does not

AI is genuinely useful in After Effects for tasks with a clear text description and a verifiable result. It is a poor fit for taste-driven decisions, which is most of the interesting work.

Where it wins: expression writing, because you can describe motion in words and instantly see whether the curve is right. Caption transcription, because reading a transcript is faster than typing one. Rig scaffolding, because sliders and controllers are boilerplate. Naming and cleanup passes across dozens of layers, because it is mechanical.

Where it loses: composition, colour and timing judgement. A model can produce a plausible animation, but you still have to decide whether it feels right — and iterating through generated options is often slower than nudging two keyframes.

Model choice matters less than context. An assistant that knows your composition dimensions, frame rate, selected layer and property type will beat a smarter model that knows none of it.

Ghostae Command runs a multi-model setup with automatic fallback, so a provider outage does not stop your session, and every request carries composition context. Tokens are spent on work that returns something you can inspect: an expression, a transcript, a rig — never a vague answer.

The practical rule: automate the parts you can verify in one glance, and keep the parts you would defend in a review meeting for yourself.