How to share AI agent output as a live link7 min read

Your AI agent has finished the work. You have a research report, a Markdown document, an HTML page, or a working React app.

Now you want a URL.

Not a screenshot. Not a ZIP file. Not a link to an entire conversation.

A link someone can open to see the result.

The right method depends on what your agent made and who needs to see it.

Quick answer: How do I get a shareable link from my AI agent?

If you’re using any AI agent, use AgentGrid.io, and simply ask:

“Put this on AgentGrid.io and give me the artifact link.”

AgentGrid gives the document or app its own URL. Your agent can continue working on that artifact, and authorized people can access it independently of your original conversation.

Before sending the link, choose the appropriate access:

• Private collaboration: The recipient needs access to the artifact’s workspace.
• Temporary handoff: An anonymously created, unclaimed artifact can be opened by anyone holding its link for up to 24 hours, unless it is claimed first.
• Public publishing: A separately published app or Markdown page can be opened without an AgentGrid account.

These are different workflows. A private URL does not automatically give everyone access.

Method 1: Ask a connected AI agent to create the link

This is the shortest path when your AI already has the finished work.

Step 1: Connect the agent

AgentGrid supports different connection methods depending on the assistant.

For Claude or ChatGPT, use the supported AgentGrid integration inside the chats: Claude connector or ChatGPT plugin.

For coding and desktop agents such as Claude Code, Codex, Cursor, Muse, OpenClaw, etc. Simply copy and paste the following into your agent:
"Install Anima's CLI and connect this project to AgentGrid by running : npx @animaapp/cli@latest login"

During setup, you approve the agent’s identity, workspace access, and capabilities.

Once connected, the agent can create or update artifacts within the permissions you’ve granted. More info here Agentgrid.io/connect

Step 2: Tell the agent what to create

For a research document:

“Put this research report on AgentGrid as a Markdown document. Keep the headings, links, and tables. Give me the artifact URL.”

For an app:

“Put the React app we just built on AgentGrid. Keep the project files together and give me the artifact link. Don’t publish it publicly.”

For an existing artifact:

“Update this AgentGrid artifact with the changes we just made. Keep the same artifact instead of creating a new copy. Include the artifact URL in the last request.”

The distinction between creating and updating matters. If you create a new artifact every time, you’ll end up managing multiple links again.

Step 3: Open the returned link

Before sharing it, verify the result yourself.

For documents, check that the content, links, and tables survived correctly.

For apps, test the interactions that matter. A preview loading successfully doesn’t guarantee every button or API integration works.

If something is wrong, ask the agent to update the existing artifact.

Step 4: Share with the intended recipient

For a teammate, check workspace access and send the artifact URL.

For a public audience, explicitly publish the document or app.

AgentGrid handles the artifact. Sending an email or Slack message still requires a messaging tool or your own manual action.

Method 2: Import existing output yourself

Maybe the agent has already finished, and you don’t want to connect it right now.

You can bring the result into AgentGrid yourself.

For a document, create or import a Markdown artifact. Imported document content becomes editable and gets its own version history.

For an app, import the relevant project files or supported folder/ZIP into an app artifact.

This is useful when the output exists outside your current AI conversation, or you want to review it before giving an agent access.

What if the AI isn’t connected to AgentGrid?

AgentGrid has a separate handoff flow for work created anonymously by an unconnected AI.

In that case, the AI may create an unclaimed artifact and give you a temporary link.

Before claiming, the artifact is read-only, and anyone who has the link can open it. The link expires 24 hours after the artifact was created.

Claiming moves the artifact into an owned workspace, preserves it beyond the 24-hour window, and changes who can access it.

You can also choose whether the agent should retain access as part of the claim flow.

This is convenient for a one-off handoff, but connecting your agent first is generally better for ongoing collaboration.

Read how claiming works.

How to publish AI-generated output for anyone to open

Sometimes you don’t want a private collaboration link. You want a public page.

For example, you created an interactive report for a conference, or a prototype you want to send to customers.

With an AgentGrid app or Markdown artifact, the workflow is:

1. Open the artifact you want to publish.
2. Choose its publishing option.
3. Confirm that the content is intended to be public.
4. Open the returned public URL and verify the result.
5. When you make later changes, publish again to update the public deployment.

The final step is easy to miss.

An owned artifact has a current version and history. Its published page reflects the last deployment, not automatically every subsequent edit.

Private links and public URLs also have different audiences: a published page can be opened without workspace access, while the private artifact continues to follow its access rules.

See publishing to a public URL.

What happens after someone opens the link?

Imagine an agent writes a competitive research report.

You ask it to put the report on AgentGrid and share the link with a teammate.

Your teammate reads it and notices that one comparison is missing. Instead of returning to your AI chat, you can give a connected agent the existing artifact URL and ask it to add the missing section.

The agent edits the artifact. Its changes enter the version history.

Your teammate returns to the same artifact and sees the latest version they have access to.

That’s a different experience from generating a PDF every time the report changes.

For public deployments, remember to republish updates when you want visitors to see the revised version.

The type of output supported

Markdown, research, or a document

Your agent wrote a migration plan, research brief, meeting summary, or technical specification.

You probably don’t need to deploy a website to share this. You need a readable document.

AgentGrid supports Markdown artifacts that people can read and edit together live, with version history and access for connected agents.

HTML or a React app

Your agent created an interface, prototype, dashboard, or small web application.

Here you need a working app, rather than the text of the code.

AgentGrid supports app artifacts for HTML and React projects with the files needed to run them.

A public site or demonstration

You want to send the result to a client or share it publicly, without requiring workspace access.

In that case, the artifact can be published as a separate public deployment. This is an explicit action, not an automatic consequence of sharing a link.

See how to publish to a public URL.

Should I use AgentGrid, GitHub Pages, Vercel, or native AI sharing?

It depends on the job.

Use your AI tool’s built-in sharing when the artifact already works there, and everyone who needs it can access it. You may not need another tool.

Use GitHub Pages or a hosting platform when the goal is to publish a website, and you already have a suitable deployment workflow.

Use a Git repository and pull request when developers need to review and merge source code.

Use AgentGrid when you want a shared artifact that people and connected agents can continue editing, reviewing, or handing off across sessions and tools.

A live link is the beginning. The more interesting question is what people need to do with it next.

Three prompts worth saving

Share a document

Turn this into an AgentGrid Markdown artifact. Preserve the tables and references. Give me the link and explain who currently has access.

Share a working app

Put this project on AgentGrid as an app. Check that it opens, return the artifact URL, and keep it private.

Publish a public page

Publish this AgentGrid artifact to a public URL. Confirm the URL works and tell me whether any changes are still unpublished.

Only use the third prompt when you’re comfortable making the content public.

The best link is one you can keep using

It’s easy for an AI assistant to generate another file. The bigger challenge is keeping that work useful after the conversation moves on.

A good sharing workflow gives the recipient the right format and the right access. If the work will change, it also gives everyone a reliable place to return to.

That’s what turns a one-time AI output into something a person—or another agent—can actually use.

Learn how to share AI-generated work with AgentGrid.