Hey everyone, I’ve been thinking a lot about the UX of generative AI lately. For the past two years, our primary way of interacting with AI video has been a sterile, linear text box. You type a prompt into Runway, Sora, or Kling, you get a 4-second clip, and if it’s not right, you start over. It’s a very disjointed, slot-machine style experience. I just started testing Az8 Studio, and it feels like a massive leap toward what AI creation should actually look like: an infinite visual canvas. Instead of isolating each generation, Az8 lets you map out your entire video pipeline spatially. You can see the evolution of your project from a single text prompt, to an image asset, to a video clip, all connected via nodes on a massive whiteboard. After messing around with it for a bit, here are my main takeaways on why this spatial approach matters: Visual Continuity: You aren’t losing your history in a scrolling sidebar. You can visually branch out different iterations of a scene side-by-side to compare motion vectors and framing. Context Retention: It seems to handle asset and character consistency way better because the surrounding nodes actively feed context to each other, rather than treating every generation like a blank slate. The Death of Tab-Hell: Having script ideas, image generation, video rendering, and sequencing happening in ONE spatial workspace makes the workflow infinitely faster. It honestly reminds me of when UI design moved from fragmented tools into Figma. It’s not just about how good the under-the-hood video model is anymore; it’s about how efficiently humans can collaborate with it. For those who have used both: Do you think this Figma-style canvas approach is the definitive future of AI production, or do you still prefer node-heavy setups like ComfyUI for raw control? Let’s talk. submitted by /u/Waste_Dragonfruit346
Originally posted by u/Waste_Dragonfruit346 on r/ArtificialInteligence
