Lovable and Cursor are great at the build. Both can take you from intent to a working front-end fast — Lovable as a generate-an-app product, Cursor as an agent inside your editor. What neither solves is the next question every project hits: how do you get other people to look at this and tell you if it's right? This is a workflow for collecting feedback on Lovable and Cursor projects without leaving the loop they live in.
The shared problem under two different tools
Lovable and Cursor feel different to use, but the feedback problem is identical. You have a generated front-end that changes quickly, and you need reviewers — teammates, stakeholders, clients — to react to the rendered result. The reviewers don't have your tool open, shouldn't need an account, and want to comment on what they see, not describe it from memory.
The trap is reaching for the project's own hosting too early. Lovable can deploy; Cursor projects can be pushed to staging. But production hosting is for the version you've decided on, not the version you're still arguing about. Reviewing on a deploy means rebuilding and redeploying for every round of notes — slow, and it tangles "is this right?" with "is this live?"
The workflow, tool by tool
The loop is the same for both; only the publish step differs. The full version lives on the collaborative review for AI-generated apps page — here's how it maps onto each tool.
Getting Lovable work reviewed
For a Lovable app, publish the generated front-end — or the key flows you want feedback on — to a review link rather than a production deploy. Export or copy the HTML and publish it via your agent or a single REST call. Reviewers open the link, comment on the page, and you iterate. Capsule is the review layer, not a replacement for Lovable's hosting: you review here, then ship the approved version through Lovable's normal deploy. There's a tool-specific walkthrough on the review Lovable apps page.
Getting Cursor work reviewed
Cursor runs an agent right in your editor, which makes the loop especially tight. Publish the prototype's front-end to a share link from within Cursor over MCP. When feedback comes back, ask the agent in Cursor to check the comments — it lists the open ones with their context, recommends fixes, and applies the ones you approve. You never leave the editor to run the review. The review Cursor projects page covers the specifics.
What the reviewer experience looks like
For both tools, the reviewer's side is identical and deliberately minimal:
- Open a link. No account, no install, no tool. The link can be public, password-protected, or time-limited.
- Comment on the page. Feedback anchors to the element it's about, so reviewers point instead of paraphrase.
- See iterations on the same link. Updates replace the content behind the URL; nobody reviews a stale copy.
That last point is what keeps a multi-round review sane: the link is canonical, comments are threaded, and each one moves through clear states — open, in review, accepted — so everyone can see what's outstanding before sign-off.
Closing the loop back to the agent
The detail that makes this worth setting up — rather than just emailing screenshots — is that the feedback is readable by the agent that built the project. In Cursor, that's the agent in your editor. For Lovable, it's whatever agent you point at the comments over MCP. Either way, the comments don't have to be re-typed into a prompt by a human; the agent reads them, proposes fixes, and you decide what ships. That's the difference between a feedback loop that closes and one that needs a person to manually relay every note.
And the approval stays human. The agent proposes; you approve a specific version; the approval and the version history are recorded. AI does the drafting, a person does the deciding.
Set up the publish step once
Whether you build in Lovable, Cursor, or both, the setup is the same and you only do it once. Install Capsule for your agent — a single setup message — and your next project gets a review link the moment it's worth showing to someone. The building was already fast; this makes the feedback fast too.