Already connected
Ask your agent to confirm the connection before publishing. It can check your page list without creating a new page.
PUBLISH HTML FROM YOUR AI AGENT
From your conversation to a shareable page in minutes.
The context is already there. Give it a form worth sharing.
Turn notes, ideas, and analysis into a designed HTML artifact. Your AI agent creates it. You review it. A compatible MCP connection lets the agent publish the approved result through share/artifacts and return one link.
For a short page with prepared notes and a connected agent. Setup, source checks, and revisions can take longer; timing varies with the task and agent.
THE WORK HAPPENS IN YOUR CONVERSATION
One shareable link.
A page to read. Not a chat to untangle.
Illustrative exchange—not a live chat.
THE SHORT ANSWER
How do you publish HTML from an AI agent?
Connect a compatible agent to share/artifacts using MCP (Model Context Protocol), the standard that lets an agent call external tools. Ask it to create a static HTML page, review the draft, and approve publishing. The agent returns a shareable URL. Open it, choose who can access it, and send the link. No Git or deployment setup is required.
What do I need before publishing?
- A compatible MCP client. Your agent must be able to create HTML and use the publishing tools. Follow the connection instructions; support and authorization vary by client.
- A draft you can review. Start with notes you are allowed to share. Already have the file? Use the existing HTML-to-link workflow.
- Your approval and an audience. Connecting does not publish anything. New pages are owner-only until you choose another access setting.
Want the tool names and examples? Read the share/artifacts MCP reference.
01 / SAME INFORMATION. CLEARER HANDOFF.
Your team needs the update.
Not the entire conversation.
Start with the information you already have. Ask your agent to arrange it around what the reader needs to know.
BEFORE / PROJECT NOTES
Northstar onboarding
- 9 of 12 sprint tasks done.
- Mobile QA: 3 open defects. Eli is fixing and retesting.
- Legal wording still needs approval.
- Ask the product lead for two extra QA days.
Excerpt from the worked example’s source notes.
NORTHSTAR / WEEKLY UPDATE
THE DECISION
Two more QA days.
A clearer path to launch.
75%9 of 12 sprint tasks complete
At riskQA and legal approval still open
Request: approve two extra QA days.
Proposed—not yet approved.
Worked example with fictional project data. The linked page includes the full result and source notes.
The agent’s job is not just to shorten your notes. It is to make the decision, evidence, and next action easy to find—without changing the facts.
02 / WHAT AGENT-FIRST MEANS
Keep creating where the context lives.
share/artifacts is a publishing tool for your agent, not another editor you have to learn. Your compatible agent creates and revises the page; share/artifacts hosts the approved HTML and manages access. See what you can make as a shareable AI artifact.
- You bring the intent.
- “Help the client choose.” “Show what changed.” “Explain this research.” Start with the reader’s need, not a blank template.
- Your agent shapes the page.
- It can use authorized context already in your conversation, write the HTML, and design the layout around the explanation. You do not have to repeat your work in a separate editor.
- You stay in charge.
- Review the draft, request changes, and approve what gets published and who can read it. Your whole conversation is not published—only the HTML the agent submits. Check it for private details.
- The link carries the result.
- Your audience opens a browser page. Later, describe a correction to your agent and update the same link instead of sending another attachment.
03 / ASK. REVIEW. SHARE.
Four steps from context to link.
Ask for the outcome
Tell your agent who will read the page and what they need to understand. Use relevant notes already in the conversation, or add material you are allowed to share. Ask it to identify missing facts instead of filling the gaps.
Review a real draft
Ask for a responsive HTML page, then open the draft in your agent’s preview or local browser. Check the facts, phone layout, and next action. Describe changes in the same conversation: make the recommendation clearer, shorten the background, or use your saved style if available.
Approve publishing and access
Connect share/artifacts if needed. Approve the finished page for publishing, and say who should be able to open it. The connected agent sends the HTML and returns a share URL. New pages default to owner-only; a connection approval alone does not authorize publication or public access.
Open the link, then send it
Check the published result and its access settings. Test the recipient experience separately from your owner account, then send the link. If you need a correction later, ask your agent to update that page and keep the same URL.
04 / LESS MOVING WORK AROUND
What makes it quick?
Prepared notes, a clear audience, and an agent that is already connected. The time saving comes from fewer handoffs: no re-entering context in another editor, no manual HTML coding, and no separate deployment setup.
Your first page
You may need to connect your agent, sign in, and approve permissions. You can make a local HTML draft before connecting.
Your next page
For reports and presentations, ask your connected agent to reuse your saved style. If style access needs approval, you can approve it or continue with visual preferences you provide.
What still deserves time
Checking numbers, removing sensitive details, and approving the final message. A longer report or new research takes longer than a short update. This is not a fixed completion-time guarantee.
05 / CONNECT WHEN YOU ARE READY
Can I use the agent I already have?
Use an agent that can create HTML and call compatible publishing tools. MCP is the connection standard; support and setup vary by app. share/artifacts does not automatically read your other chats or connect every AI assistant.
No connection yet, or setup declined? Keep the local draft and return to publishing later. Approving a connection is separate from approving a publication. Read the agent setup reference.
Workflow and setup reference checked September 10, 2026.
06 / BEFORE YOU SEND
A few useful answers.
Do I need to know HTML?
No. Your agent writes it. Describe the result you want and review the page. If the agent cannot show a preview, ask for an HTML file you can open locally in your browser.
What if publishing fails or no link comes back?
Keep the draft. Ask the agent to check whether the page was created before trying again, so you do not create duplicates. If authorization failed, return to connection setup; do not keep retrying a denied approval.
Why can I open the link but my reader cannot?
New pages are owner-only unless you choose another audience. Check access and expiration, then test with the intended recipient. See how private sharing works.
Can I change the page after sharing it?
Yes. Ask your agent to update the existing page, not publish another one. For a presentation, an agent connected to the owning account with page-read permission can retrieve the saved HTML—even in a new conversation. Ask it to show the changes before you approve updating the same link. Keep your source file for other HTML page types. See how updates work.
Does switching agents transfer my conversation?
No. A connected agent can retrieve your saved presentation, not the chat that produced it. Provide any background, sources, or new instructions it needs; a public viewing link alone does not grant editing access.
Can the page be a live app or dashboard?
This workflow publishes static reading pages. JavaScript, forms, and live API calls are disabled. HTTPS images and fonts, including CSS background images, may still load from external hosts. For live inputs or calculations, use an application; for a reviewed snapshot, use a page. Choose a static page or a web app.
YOUR CONTEXT. YOUR AGENT. YOUR NEXT PAGE.
What would you like someone to understand?
Start with a weekly update, or choose a different outcome. Take the creation request to your agent and keep working with your own context.