Add a single script tag to your Lovable, Bolt, or v0 app and it starts capturing console errors, failed network requests, and the page URL automatically when a user submits feedback. That is the setup. What you choose to do with those reports is where the choice of tool starts to matter.
Why tool choice matters more than it used to
Lovable.dev keeps a guide listing customer feedback tools for builders. Most of them work the same way: a button opens a text box, the user types what happened, the report lands in an inbox.
That is fine when a human reads the inbox. It is not fine when your next step is pasting the report into Claude Code and asking it to investigate.
A user typing "the export button didn't work" gives the agent one sentence and no evidence. A user clicking a widget that also captures TypeError: r.blob is not a function, a 500 POST /api/export, and the page URL /reports?range=q4 gives the agent something it can reproduce, trace through the code, and open a PR against.
The difference is not the user. The user typed the same thing both times. The difference is whether the tool captured the evidence that existed in the browser at the moment the error happened.
This is what changes about feedback collection when a coding agent is your primary triage path: the human's description is still useful, but the structured context (console output, network trace, page state) is what the agent acts on.
What three fields actually matter
Every serious feedback capture tool for this use case needs to record these three things automatically, without the user doing anything:
Console output
Errors and warnings buffered in the seconds before submission. A TypeError or ReferenceError in the console is often the exact line the agent needs. If the tool waits for the user to open DevTools, the moment is already gone.
Failed network requests
Status codes, endpoints, and timing for requests that returned 4xx or 5xx during the session. A 500 POST /api/export is a concrete reproduction path; "the export didn't work" is not.
Page URL and state
Where in the app the error happened, including query parameters and any route state. This is often what separates a bug that reproduces in five minutes from one the agent marks "cannot reproduce" and closes.
Screenshots and viewport data are useful too. But if a tool captures none of the three fields above, the agent is working from a summary, not evidence.
Adding Quell to a Lovable or Bolt app
Quell is an agent-native feedback platform, built for teams where a coding agent reads and triages the reports. Setup is one script tag.
Step 1: Get your project token
Sign up at quell.sh and create a project. Your project token is a public identifier, not an admin credential; it is safe to include in client-side HTML.
Step 2: Add the script tag
Open the HTML template your builder produced. In a Lovable app that is index.html at the root of your project; in a Bolt app it is the same. Add the script tag before the closing </body>:
No npm package, no build step, no configuration file. The widget loads asynchronously and does not affect page load performance.
Step 3: Attach the logged-in user (optional)
If your app uses Supabase Auth ÔÇö the default for Lovable's full-stack projects ÔÇö pass the user's id when they sign in:
This attaches the user identity to every report they submit, so you can follow up directly and the agent can see which user accounts are hitting each bug.
Step 4: Verify
Reload your app and click the feedback widget. Submit a test report. It should arrive in your Quell inbox within a few seconds, with the console log, network requests, and page URL attached. If you have any console errors on the page during the session, they appear in the report automatically.
What the agent receives
When you connect Claude Code to Quell via MCP and ask it to look at a report, it calls get_context with the report id. The response includes the console trace, network errors, and page state in one Markdown block. The example below is illustrative; it uses representative fields to show the shape of the handoff.
console TypeError: r.blob is not a fn ExportButton.tsx line 47
network 500 POST /api/export (312ms) 200 GET /api/reports (92ms)
That is a reproduction path and a stack trace in one read. The agent does not need to ask the user what they were doing, what browser they were using, or whether the error appeared in the console. Compare that with a text-only report: "The export button doesn't work." The agent's next step is either to ask for more information or to guess which code path triggered it.
The MCP server on the agents page lists all ten tools. A feedback:read scoped key is enough to start. The agent can read and investigate without any write access.
Connecting to Claude Code
Once reports are coming in, add the MCP connection to your Claude Code config:
The free MCP config generator produces the correct JSON for Claude Code, Cursor, and other MCP clients. You supply the key; it generates the config block.
Claude Code can then list open reports, fetch the full context, investigate the relevant code, and open a PR, all from within the coding session, without any copy-pasting from a separate inbox.
Frequently asked questions
What is the best feedback tool for a Lovable app?
The best feedback tool for a Lovable, Bolt, or v0 app is one that captures structured context automatically (console errors, failed network requests, page URL) and not just the user's typed description. When Claude Code or another coding agent triages the reports, it needs that evidence to reproduce and fix bugs. Quell captures all three fields automatically via a single script tag, with no build step required. See the widget page for the full capture spec.
Does adding a feedback widget affect Lovable's built-in hosting?
No. The Quell widget is a script tag added to your app's index.html. It loads asynchronously from quell.sh and does not modify your app's build pipeline or dependencies. It works with Lovable's built-in hosting, Vercel, Netlify, or any static host.
Can Claude Code read my user feedback reports?
Yes. Quell's MCP server gives Claude Code read access to your feedback inbox. Grant a feedback:read scoped key and add the MCP config block to Claude Code's settings. The agent can then list open reports, fetch the full context for any item including console traces and network errors, and investigate from real evidence.
How much does Quell cost?
Cloud from $4 per seat (free trial), no token tax. No built-in AI, no credit meter, no token surcharge for MCP calls. You bring your own coding agent; Quell provides the structured feedback rail and the read-only MCP connection. See pricing for current plans.
Does the feedback widget work with Supabase Auth?
Yes. If your Lovable app uses Supabase Auth, call window.Quell?.identify(user.id, { email: user.email }) after the auth state resolves. Quell attaches the identity to all subsequent reports from that user, so you can filter by user, follow up directly, and give the agent the account context alongside the technical evidence.