Add visual feedback to your Lovable app

Why Lovable teams need visual feedback

• Lovable ships a working preview in minutes, but the people reviewing it (teammates, clients, your designer) have nowhere to leave precise feedback.
• Screenshots pasted into Slack lose the element they point at, and "the button on the left, no the other one" wastes a whole iteration.
• When you paste that vague feedback back into Lovable, the agent has to guess what you meant. Wrong guesses cost you another generation.
• Patchrooms attaches comments to the exact element on the live preview, so the next Lovable prompt has pixel-accurate context.

How Patchrooms works with Lovable

1. Drop one script into your Lovable app

   Ask Lovable to add the Patchrooms embed, or paste it in yourself. It loads on every preview build and shows a floating review button. No rebuild needed when feedback changes.

2. Reviewers comment right on the preview

   Anyone with the link clicks an element, types what is wrong, and Patchrooms captures the selector, a screenshot, and the page context automatically.

3. Export agent-ready feedback back to Lovable

   Each report exports as clean Markdown with the element selector, goal, and constraints. Paste it straight into your next Lovable prompt and the agent fixes it.

Add it in one prompt

Add in one promptPaste a script tag

Ask Lovable to wire Patchrooms in for you, paste this prompt:

Add the Patchrooms review widget to my app. Insert this script tag into index.html before the closing </body> tag, exactly as written:

…then give it the snippet below. It loads on the live preview and turns on artifact-review mode: pinpoint comments anchored to the elements your reviewers click.

<script src="https://room.patchrooms.com/v1/patchrooms.js"
        data-project-key="pr_xxx"
        data-source="lovable"
        data-mode="artifact-review"></script>

Or try it locally: no account, no key, no server

Reviewing a Lovable artifact on your own machine? Run Patchrooms in local mode: no account, no project key, zero network calls. Pinpoint comments stay in your browser and export to Markdown you paste straight back into Lovable.

<script src="https://room.patchrooms.com/v1/patchrooms.js"></script>
<script>
  Patchrooms.init({ storage: 'local', mode: 'artifact-review' });
</script>

Review workflow

Share the preview link with your team or client. Anyone clicks an element, types a comment or records a voice note (Patchrooms auto-transcribes it to clean text), and captures the selector, a screenshot, and the page context. Every comment carries a status (new, triaged, in-progress, closed) so nothing falls through the cracks. See the full UI review workflow.

Export feedback to your AI agent

Each report exports as clean Markdown with the element selector, a screenshot reference, and the artifact goal and constraints. Paste it straight into Lovable and the agent fixes the exact issue: this is the heart of AI artifact review. The Patchrooms MCP server lets agents read reports directly (list_reports / get_report) and triage them (set_status). Available now; extended MCP tools (create_room, issue creation) are planned, and a @patchrooms/react package is coming for tighter React integration.