Leonardo Grigorio demonstrates Claude's new Visualizer feature and its potential for app builders
A solo walkthrough of Claude's new Visualizer tool, showing interactive UI generation and comparing it to similar features from OpenAI and the AI SDK.
Summary
Leonardo Grigorio demonstrates early access to a new Claude feature called the Visualizer, which generates interactive, design-guided UI components directly within the chat interface. He contrasts it with Claude's existing Artifacts feature, which can produce general-purpose HTML, noting that the Visualizer is purpose-built for explanation and illustration rather than full functionality. He also compares it to OpenAI's widgets feature and the AI SDK UI, arguing that Claude's approach is more dynamic because it generates the UI entirely on the fly rather than populating pre-built templates. His central argument is that the real value for builders lies in creating custom visualizer design guidelines tailored to a specific app's domain.
Key Takeaways
FULL TRANSCRIPT
Introducing the Claude Visualizer feature
Leonardo Grigorio: I've just received early access to a new feature in Claude that I believe is pretty cool. Before I even explain it, let me show you exactly what it is.
You basically type in something like "build me a complex color palette I can play with" — this is just an example, by the way. And this is what it created for me: an interactive interface that does whatever I need. I can change this from monochromatic to this, I can select this, and it gives me a pretty nice interface.
Another example is a paper plane folding guide. I only typed "show me how to fold a paper airplane — use the visualizer design guidelines to do so." And that last part — "use the visualizer design guidelines" — is exactly what you'll want to type to trigger it to actually use this tool. And this is what it produced. You can hit Next and it shows the steps one by one.
If, like me, you create educational content, you might have already seen the content potential here.
Another example: "Visualize how the moon phases work — use the visualizer design guidelines." I can slide through it, and as you can see it shows exactly the phases of the moon. I can click on a specific phase — this one, or this one, or whichever.
How the Visualizer differs from Claude Artifacts
Now that you've seen the feature, you might be thinking, as I did initially: how is this different from Artifacts? Because we've always had access to HTML in Artifacts, where we can ask it to build something like a stock analyzer. That would compare two stocks, and it's actually using dynamic data — APIs, not just front-end design. So in that example, by hitting Compare, I can compare two stocks along with an AI analysis that is actually using Claude to do so.
The reason I think the Visualizer is brilliant — especially the way they've done it — is that it serves a specific purpose: explaining something, getting a message across. There's one of my favorite videos from Claude, and what it says at the very end is that Claude is for problem solvers. That's the market they're trying to reach. Instead of concentrating purely on text to answer someone, they're going with the idea that a picture is worth a thousand words. And this is more than a picture — it's interactive. You can actually learn much more from something illustrated, something you can interact with. And because it's built against an actual design visualizer guideline, Claude has far more control over what it's building, compared to a plain HTML artifact that can be absolutely anything.
Comparison to OpenAI widgets and AI SDK UI
Something else that came to mind is the widgets feature from OpenAI. They've launched something similar, but to be honest, more than a year before OpenAI built widgets, there was already AI SDK UI. The idea there is the same — for example: "What is the weather in San Francisco?" — and then it uses a component to render the response. But the difference is that it's using a template. It's not actually generating that specific UI inside the chat interface. That's explained in the documentation: you create the component that holds those variables, and the agent uses that component inside the chat interface.
As for OpenAI, they actually have a widget builder where you can build that specific component that will also be used by the AI assistant.
This technology isn't completely revolutionary. What is revolutionary is the way Claude's LLM works in fetching these specific tools and using them as effectively as it does. Honestly, even inside OpenAI, when I've created my own widgets, it doesn't produce things like this. Even when I define those specific components, I have a hard time configuring them in a way that the agent uses them effectively. Claude is dynamically creating everything.
Implications for builders and app developers
I know there's a lot of useless hype in the AI industry, but this is honestly pretty cool. The way I believe we as builders can use this feature is by designing our own visualizer design guidelines for our specific app. In that sense, it would sit somewhere between what we used to implement with widgets inside OpenAI and a much more dynamic ecosystem for building nearly anything.
For our app, we wouldn't want our agent just building random things — but specifically things that relate to what our app actually does. So if it's a finance app, it would be pretty compelling for it to design specific charts, graphs, or overall explanations, so that the research experience for our end users is much richer.