Research: validate the dance audience and non-LLM authoring assumptions

[a-baran-orhan]

Focused split of Workstream 8 from the dance UAT umbrella #91.

Treat the audience observation as a research hypothesis: many dance teachers/choreographers may prefer demonstrating with their bodies, may be uncomfortable with code, and may resist LLM-centered workflows.

Tasks

• Make "LLM optional" clear in dance-facing material — the language, parser, validator, and renderer are the product foundation.
• Test direct editing, visual pose controls, movement-library composition, and import workflows before assuming prompt-first authoring.
• Use DanceForms as prior-art research (poseable figures, movement libraries, sequence blending, stage playback, score views, multi-angle inspection).
• Conduct a small number of async interviews / UAT sessions with dancers, teachers, choreographers, and movement notators.
• Ask which tasks are difficult today rather than whether they like AI-generated movement.
• Validate whether complex movement teaching, preserving movements an instructor cannot physically demonstrate, scrubbing, and showing variants are stronger entry points than general choreography authoring.
• Avoid presenting dancers/choreographers as a validated target audience until repeated evidence supports it.

Priority: P2.

Non-goals: do not make LLM use mandatory for dance workflows; do not attempt a full DanceForms replacement.