What Can You Do With a Published AI Artifact? Unpacking the "View-Only" Myth

If you have been playing around with AI workspaces lately—especially features like Claude’s Artifacts—you know how magical it feels to generate a fully functional piece of code, a detailed markdown document, or a slick web app interface in seconds.

But eventually, you reach the point where you want to show off what you built. You hit the “Publish” button. A unique URL is generated.

Then comes the hesitation. What exactly are you sharing?

There is a common assumption floating around online: “When you publish an artifact, people can only view it. No interaction is possible, but you can share it with anyone via a link.”

Is that actually true? Well, yes and no. The reality of how published artifacts work is a bit more nuanced, and understanding the mechanics can completely change how you collaborate with your team or present work to clients. Let’s break down exactly what happens when you share that link.

*Hitting “Publish” on an AI artifact opens up a new way to share your work, but understanding how those links behave is key.*

The Power of the Link: Frictionless Sharing

Let’s start with the undeniably true part of the statement: You can share it with anyone via a link.

This is easily one of the best features of modern AI workspaces. In the past, if an AI wrote a Python script or built a React component for you, sharing it was a hassle. You had to copy the code, paste it into GitHub, CodePen, or a Google Doc, and then send that link.

Publishing an artifact cuts out the middleman. When you generate that public link, you are creating a standalone, hosted webpage for your specific output.

No accounts required: The person receiving the link doesn’t need to have a paid AI subscription—or any account at all—to see what you made.
Instant rendering: They don’t see the raw code unless they want to. They see the finished, rendered product, whether that is a formatted essay, a mermaid.js flowchart, or a web tool.
Privacy protection: Sharing the artifact link only shares the artifact itself. Your private chat history, the prompt you used to generate it, and your earlier mistakes stay completely hidden.

The “No Interaction is Possible” Myth

Now, let’s address the most confusing part of the conversation: the idea that published artifacts are strictly “view-only” and that “no interaction is possible.”

This statement is misleading because it confuses two different types of interaction: Editing vs. Using.

1. Can the viewer edit the underlying code? (No)

If “interaction” means changing the core logic, tweaking the background color, or adjusting the text, then the statement is correct. A published artifact is a static snapshot of your work at the moment you hit publish.

The person who clicks your link cannot type into your code block and break your project. They cannot chat with the AI on that page to ask it to add a new feature. In that sense, it is “view-only.” They are looking at a final, baked product.

2. Can the viewer interact with the app itself? (Absolutely Yes)

This is where the magic happens. If your artifact is an interactive web component—like a calculator, a playable browser game, a sorting tool, or a dynamic dashboard—the viewer can interact with it fully.

If you publish a matching game, anyone with the link can play it.
If you publish a mortgage calculator, your client can enter their own numbers and see the results change in real-time.
If you publish a data visualization, they can hover over the charts to see tooltips.

The code itself is locked, but the functionality of the code remains entirely intact.

*While viewers cannot edit your code (left), they can fully interact with any buttons, sliders, or games you have built (right).*

Why This Setup is Perfect for Professional Workflows

This specific combination—locked code but interactive functionality—is exactly what makes published artifacts so valuable for real-world projects.

Think about how you usually share work with clients or stakeholders. You don’t want them messing with your source code, but you do want them to click around and experience the prototype.

Here are a few ways I see professionals using this every day:

Rapid Prototyping: A designer uses AI to generate a functioning wireframe of a landing page and sends the link to the marketing team to test out the navigation flow before giving it to the actual development team.
Client Dashboards: A data analyst creates a custom, interactive financial chart and shares the link with an executive, allowing the exec to hover over data points without needing to understand the underlying Python or React code.
Internal Tools: A manager builds a quick checklist or ROI calculator for their sales team to bookmark and use on their phones.

The Next Step: Remixing

If the person you shared the link with does want to change the code or add features, modern platforms usually offer a “Remix” or “Fork” option.

If the viewer has their own account, they can click a button to import your artifact into their workspace. At that point, it becomes their copy. They can chat with the AI to modify the app, completely independently of your original version. Your link remains safe and unchanged, while they get a massive head start on their own project.

Don’t let the phrase “view-only” hold you back from sharing your AI creations.

When you publish an artifact, you are doing much more than just sending a screenshot. You are sending a live, fully rendered, and often highly interactive piece of software or content. You maintain complete control over the original version, keeping your prompts and chat history private, while giving the world a frictionless way to experience exactly what you built.