Visual Canvas for Chaining AI Models
A new demo from VilvaOfficial's Shruti Saagar reveals a visual workflow canvas for chaining multiple AI models for image and video generation. The system allows art directors to map out complex creative pipelines and tweak individual branches—like a character model or a background style—without disrupting the entire process. This modular approach gives creatives more granular control over complex AI outputs.
This modular approach represents a broader shift in creative production, moving away from single, monolithic AI tools to interconnected, node-based workflows. Platforms like Krea, Freepik Spaces, and Flora are also embracing this visual canvas model, allowing creative teams to chain specialized AI models together—one for character generation, another for background, and a third for video—without writing code. This method provides greater control and makes the creative process visible and debuggable. The creator of the demo, Shruti Saagar, developed the Vilva.ai platform out of frustration with managing dozens of browser tabs for different AI tools on a single project. The goal was to create a visual, non-linear workspace where the output of a prompt-writing LLM could directly feed an image generator, which then flows into a video tool, making the entire pipeline transparent and easy to modify. For agency leadership, the return on investment for adopting such AI-enhanced workflows is becoming clearer. Agencies like R/GA and Ogilvy have reported reducing production timelines from six weeks to two while generating ten times the number of creative variations. One case study from Monks cited a 97% reduction in costs and a 50% decrease in design hours, alongside a 31% improvement in cost-per-purchase. This shift is also reshaping creative team structures and roles. As AI handles more repetitive execution, the focus moves to higher-level creative direction and strategic thinking. New hybrid roles are emerging that blend traditional creative skills with technical fluency, requiring creative directors to orchestrate human-AI collaboration across entire campaigns. From a client-side perspective, CMOs are moving past viewing AI as merely an efficiency play for cost reduction. According to a 2025 survey, 75% of CMOs are excited about AI's role in creating brand assets, and 60% plan to increase investment in the technology. The strategic focus is now on using these tools to scale hyper-personalized content and build more distinct and consistent brands across a multitude of channels.
