One person prompting an agent is a solo activity. Shipping what it produces is not. The moment an AI-generated page needs sign-off from a designer, a product manager, and a client, you have a collaboration problem — and collaborating on raw HTML that changes every few minutes is genuinely awkward.
This is how teams run that collaboration without the page sprawling across five tools.
The collaboration problem with generated HTML
A generated HTML artifact has two properties that make group review hard. First, it's a moving target: every prompt can rewrite it, so any reference to "the current version" is fragile. Second, it's visual — the thing being judged is the rendered result, not the source — so the natural place to comment is on the page, which most tools don't allow.
The usual response is to flatten the page into something a team can comment on: a screenshot, a PDF export, a shared doc with pasted images. That works for static deliverables. For something an agent is actively iterating, it falls behind immediately, and the comments end up describing a version that no longer exists.
A workflow built for more than one reviewer
The fix is to keep the page live and bring the collaboration to it, rather than copying the page out to where the collaboration happens. Here's the shape of it.
Everyone reviews the same live link
Publish the generated HTML to one share link and send it to every reviewer. No exports, no per-person copies. The designer, the PM, and the client all open the same URL and see the same working page. Because the link is canonical, "did you see the latest?" stops being a question — there's only one version behind it, and it's always current.
Comments are threaded and anchored
Reviewers comment directly on the element they mean. Threads keep a conversation attached to a specific part of the page, so a back-and-forth about the pricing table doesn't get tangled with feedback about the nav. Anyone on the team can read the full context without scrolling a chat log.
Comment states make status legible
This is the part that turns a pile of comments into a workflow. Each comment moves through clear states:
- Open — raised, not yet addressed.
- In review — a fix has been pushed and is waiting for the reviewer to accept or iterate.
- Accepted — the reviewer is satisfied; the thread is done.
At a glance, the whole team can see what's outstanding before a version is signed off. No spreadsheet of "feedback to action," no guessing whether comment 14 was handled.
One agent, one builder, one approval
Multiple people review, but the loop back to the agent stays clean. The builder asks the agent to read the open comments; it proposes a fix for each. The builder — one accountable person — decides which fixes apply. Approved changes ship as a new version on the same link, and each addressed comment flips to in review for its author to accept. This separation is deliberate: AI proposes, a human approves, and the approval is recorded. We explain why that matters on the collaborative review for AI-generated apps page.
Why this scales past two people
The improvised stack degrades with every reviewer you add — more threads, more screenshots, more versions in flight. The anchored-comment model does the opposite. Adding a reviewer just means another person commenting on the same link; the states still tell everyone what's outstanding, and the builder still approves once. The coordination cost stays roughly flat instead of multiplying.
It also keeps a record. Version history shows exactly what changed between rounds, and the approval trail shows who signed off on what. When a client asks "why does it look different from last week," the answer is in the history, not in someone's memory of a call.
Get your team on one link
If your team is currently reviewing generated HTML over screenshots and threads, the switch is small: publish to a live link and comment on the page instead. Install Capsule for your agent to set up the publish step, or read the tool-specific guides for Claude artifacts, Cursor projects, and Lovable apps. The collaboration moves to where the work actually is.