Using AI to Draft Choreography Notation Notes

AI can draft companion notes for choreography that supplement rehearsal video.

What AI does well here

• Capture counts and spacing
• Note phrasing and intent

What AI cannot do

• Replace embodied transmission
• Read movement from video alone

AI as a Dance Documentation Partner

Choreography documentation is a persistent challenge for the dance world. Works are often preserved primarily through embodied transmission — dancer to dancer, teacher to student — because formal notation systems are time-consuming and require specialized training. AI offers a middle path: it can quickly generate text-based notation notes from choreographer descriptions, capturing counts, spacing, formations, and dynamic intent in a format that supplements video and in-person rehearsal. The limitations are real and important: AI cannot watch a rehearsal video and extract accurate notation, cannot interpret the subtle qualitative dimensions of movement (the 'suspension' at the top of a jump, the 'melt' through a transition), and cannot replace the tactile, in-person experience of learning movement from a teacher. What AI can do well is generate structured documentation frameworks from choreographer-provided descriptions — giving the choreographer a first draft that they can refine based on their embodied knowledge of the work.

• Provide AI with: count breakdowns, spatial formations, and movement quality descriptions
• AI generates structured documentation quickly — counts, spacing, phrasing in text form
• Human choreographer must verify and add qualitative movement intent that AI cannot capture
• Notes supplement but do not replace video recordings and in-person rehearsal