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CHOREOGRAPHIC PROMPT

DANCE COMPOSITION WITH AI
Diego Mac

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Photo: Social Media Reproduction

Video Lesson - Instructions and Homework

Local

Free Online Event

LOCATION: via Video Tutorial and Creative Assignment

The works will be curated by artists from the Muovere TechLab 3.6 project, and three works and their creators will be awarded a grant of R$ 500.00 (five hundred reais) each.

REGISTRATION PERIOD: December 17, 2025

to December 22, 2025

REGISTRATION LINK: https://forms.gle/iXUFzNchvDfGTqez8 

RESULTS: December 23, 2025

A call for artistic creation, specifically for dance composition processes traversed by artificial intelligence.

More than a formal call, this action is a provocation.

A call for collaboration between artists and the Muovere Dance Company.

What is at stake here is a choreographic creation experience provoked by generative artificial intelligence. AI is approached not as a technical tool, but as an instrument of invention, as a kind of algorithmic dramaturgist and movement programmer.

In this process, AI is able to generate deviations, unexpected associations, and poetic layers, allowing us to investigate how digital chance is inscribed in the physicality of the body and the materiality of the scene, expanding the field of dance creation.

The thematic starting point of the action is the repertoire of shows by the Muovere Dance Company and the choreographic poetics of Jussara Miranda.

The proposal is to carry out a kind of reinterpretation of scenes and materials from these works, based on the interaction between humans and artificial intelligence.

Artists and machines are invited to create choreographic sequences and fragments through a continuous dialogue with AI, in a dynamic of prompt, response, and experimentation.

The action proposes, therefore, to treat artificial intelligence as a poetic collaborator in the choreographic creation process, dealing with both its potential and its limitations—all understood as artistic material.


How does it work?

Artists should use the synopses of Muovere Dance Company's shows as a basis for creating choreographic prompts for the AI. Based on the AI's responses—which may come in the form of commands, tasks, mental images, or instructions—each artist develops their own choreography.

The result of this process must be recorded in a 1-3 minute video.

Along with the video, artists must also submit the prompts used and the responses generated by the AI, as part of the creative process material.

From all the works received, three proposals will be selected to receive an incentive as a form of recognition for the artistic work developed.

The selection will take into account the following criteria:

• the quality and consistency of the choreographic research

• the way artificial intelligence is integrated into the creative process

• the clarity of the dialogue between body, AI, and conceptual proposal

• the originality of the artistic approach

• and the coherence between process, result, and submitted material

More than seeking finished results, this action values ​​the process, experimentation, and the willingness to create in dialogue with the machine.


SUPPORTING MATERIAL

Calendar

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Oficina Online Gratuita

E AGORA: quem produz?
com Giulia Baptista

AGOSTO/25

Foto: Reprodução Mídias Sociais

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Distribuição

Curta-Metragem

DESVIO DE CENA

2025

Foto: Cris Lima

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Oficina Online Gratuita

E AGORA: como um artista cria um site acessível? com Rafaela Machado

AGOSTO/25

Foto: Reprodução Mídias Sociais

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OPEN CALL

Prompt Coreográfico

com Diego Mac
DEZEMBRO/25

 

 

Foto: Cris Lima

Schedule

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Eixo Criação Público Infantil

Tóin Dança e Pequenos Coreógrafos

AGOSTO/25

Foto: Jussara Miranda

CRISLIMA_14072024_7901.jpg

Eixo Tecnologia e Dança

Oficinas Gratuitas Ações Formativas e Distribuição do Curta-Metragem DESVIO DE CENA
AGOSTO/2025

Foto: Cris Lima

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Eixo Criação Inédita

Breves Peças para

uma Dança Marginal

AGOSTO/25

Foto: Cris Lima

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Eixo Muovere & Periferia

(Intersecção)

Oficina Colaborativa e Performance Pública
AGOSTO/25

Foto: Jussara Miranda

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