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Recreating the viral riso animation with claude code

Riso Animation Recreated | Surprising Insights from the Prompts, Process, and Token Counts

By

Chloe Leclerc

Sep 18, 2026, 02:59 PM

3 minutes needed to read

A vibrant riso animation featuring bold shapes and colors, created using Claude Code and Opus 5.
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A new procedural animation has caught the attention of many enthusiasts, especially after its recreation using Claude Code and Opus 5. The project's creator has revealed detailed insights about the methodology behind the animation, prompting intense interest and discussion among people in creative forums.

How It All Came Together

The original riso animation, shared by Kevin Ngo on social media, sparked curiosity. โ€œWhatโ€™s the prompt?โ€ was a recurring question. In response, the creator crafted a brief from scratch, focusing on a vibrant visual aesthetic achieved entirely through code.

The animation is a 30-second exploration featuring a world built on Canvas 2D, generating its visuals without external assets. The tack involved layering halftone textures, ultimately resulting in a mesmerizing visual experience made possible by intricate programming rather than traditional animation tools.

"Every ink is its own halftone layer with its own screen angle," the creator explained.

Behind the Process

This was no small feat. The creator provided a 10,000-character brief that guided Claude to generate segments in batches. Throughout, they delivered short follow-ups to refine details like scene selections and transitions.

Each scene was uniquely crafted, focusing on a central theme of interaction between ink dots. Notably, each transition in the animation was designed to avoid flicker or drift, ensuring a smooth viewing experience.

Community Reactions

The community's response to this recreation has been largely positive. Comments reflect a range of sentiments:

  • Some users praised the intricate detail, highlighting how impressive the results were for a procedurally generated work.

  • Others compared it to established animations, noting that while effective, it still has room for refinement.

  • A particular standout comment mentioned the ability to recreate impressive visuals with just a prompt and some guidance.

โ€œHaving domain knowledge always helps,โ€ said a commenter, acknowledging the skill required for such projects.

Key Highlights

  • ๐ŸŽจ Token usage: Approximately 716,000 output tokens were utilized during the generation process. This illustrates the significant computational dialogue required for the project.

  • ๐Ÿ” Technical achievements: The animation was created using a purely coded method without external libraries or resources, making it truly unique.

  • ๐Ÿ’ฌ โ€œGood job, but it can be better,โ€ reflects ongoing discussions about the balance between creativity and technical execution.

The attention garnered by this animation not only highlights the creativity achievable through simple prompts but raises questions about future AI-assisted art forms. Will we see more people exploring these avenues? The fascination with this project suggests that many are eager to experiment with the technology.

Summary of Insights

  • Process-oriented with a focus on iteration and refinement.

  • Community feedback points to a mix of admiration and constructive criticism.

  • Technical innovation plays a crucial role in the success of such projects.

Overall, this riso animation showcases the future of procedural art and the boundless possibilities of collaboration between human creativity and AI technology.

Eyes on the Horizon for Procedural Art

Thereโ€™s a strong chance that the success of the riso animation will ignite a wave of creativity, prompting more artists to explore procedural methods in upcoming projects. As people become more comfortable with AI tools, experts estimate that around 45% of upcoming digital art could incorporate such technology. This trend may lead to an expansion in user forums dedicated to sharing techniques and best practices. With heightened engagement, we can expect collaborative projects to emerge, bringing together coders and artists to test the limits of automated art generation further.

When Art Meets the Unexpected

Looking back, many might draw a parallel to the rise of photography in the 19th century. At first, artists feared that this new technology would diminish traditional painting. Instead, it birthed new genres and approaches, challenging norms and enhancing creativity. Much like the riso animation, which employs AI to redefine artistic boundaries, photography transformed the visual arts landscape into a more democratic and diverse space. Just as painters embraced photography to expand their repertoire, so too can todayโ€™s digital artists leverage AI, allowing for innovative expressions beyond what was once thought possible.