Sybqa

Website QA for sites built with AI

See what’s broken
on your AI-built site.

Give Sybqa a deployed URL and a goal. Review the plan, watch a real browser test your site on desktop and mobile, and take findings with screenshots back to your developer or coding agent.

Test my site free View sample report

Free account required. 10 free browser runs/month. No card. AI review from $19 a month.

Example run on a made-up site

An animated example. Sybqa’s cursor opens a made-up plant shop called Fernly, clicks Login and lands on a 404 page, checks three AI leads, tries a bad email, then submits a valid one and waits five seconds with no response. The steps are listed as text below.

    Read this run as text
    1. 1 Open. Sybqa opens fernly.app, a made-up plant shop. It loads with a 200.
    2. 2 Login. It clicks Login in the menu and lands on a 404 page. Fail: “Login” goes to a 404.
    3. 3 Back. It goes back to the home page.
    4. 4 Look. The AI said the badge text is hard to read. The browser measured 7.1 : 1 contrast, so the lead is dropped. The AI said the password label looks cut off. The label reads “Pas” and there is nothing to measure, so it is left for you to review.
    5. 5 Email. It types “sam@”. The AI said the button text is hard to read. The browser measured 1.5 : 1 contrast. Fail. It presses Get Started and the form rejects the bad email. Pass.
    6. 6 Submit. It types sam@fernly.app and presses Get Started. Nothing happens for 5.0 seconds. Fail: signup never finishes.
    7. 7 Done. 6 results: 3 fail, 1 review, 1 pass, 1 dropped.
    Example run on Fernly, a made-up site. The steps are scripted for this page. Nothing here is a real customer or result. Test my site free

    How to read the run

    1. The AI flags a possible problem.
    2. The browser measures it.
    3. You get a stamp.
    • PassMeasured and fine.
    • FailMeasured and broken.
    • ReviewNothing to measure, so you decide.
    • DroppedMeasured, and the AI was wrong.

    Introducing Sybqa

    A page can load while the journey still breaks. Sybqa opens your deployed site in a real browser, follows the journeys you approve and records what happened.

    Measured facts stay apart from AI leads. Claims about contrast, labels and target size are measured in the browser. Other suggestions stay marked for your review.

    A URL is enough. Sybqa does not edit your code or settings. Anything blocked or not checked stays visible in the report.

    Built with Lovable, Bolt, v0 or Cursor? Read the testing guides.

    A clear path from link to evidence

    How a test works

    1. Review the plan

      Paste a link and describe a journey, such as signup or onboarding. Check the proposed steps, scope and stop points before anything runs.

    2. Watch it test

      A real browser clicks through your site on desktop and on a phone-sized screen. Follow each step and the evidence as the run unfolds.

    3. Fix and retest

      Review findings and available screenshots, share a fix brief, then recheck the original failure after your changes.

    Recorded evidence

    A bug you can reproduce

    Every finding comes with what the browser saw. This one was recorded by Sybqa on a purpose-built signup fixture with a deliberately planted bug.

    Fail

    Signup clears the name after an email error.

    The form rejects an invalid email, then empties the name the visitor already typed.

    Before Name: Example User
    Captured signup fixture before submission: Name contains Example User.
    After Name: empty
    Captured signup fixture after submission: Name is empty and email validation says Enter a valid email address.
    Steps to reproduce
    1. Open signupUse the purpose-built test fixture.
    2. Enter detailsAdd a name and an invalid email.
    3. Submit formThe email error appears; the name is cleared.
    Watch the recorded check

    Recorded on a purpose-built fixture; playback is slowed for inspection.

    Evidence
    Screenshots and browser replay
    Seen on
    Mobile · 390 × 844
    Source
    Purpose-built bug, not a customer result
    Open the full sample report

    AI leads, checked

    Measured facts. Review leads.

    AI can flag things that turn out to be fine. Sybqa checks measurable claims in the page and drops claims the measurements refute. Suggestions that can’t be measured stay marked for your review.

    Example AI findings and what the browser measured
    The AI saidThe browser measuredResult
    “The button text is hard to read.”1.5 : 1 contrastFail
    “The badge text is hard to read.”7.1 : 1 contrastDropped
    “The password label looks cut off.”Not measurableReview

    What you can verify

    Know what was checked

    Review the requested scope, inspect the recorded evidence, then check the original claim after a fix. A result covers only the checks that actually ran.

    Sybqa workflow and evidence limits
    StepWhat you can inspectWhat stays unverified
    Before runningReview the plan, configured screen sizes, assertions and limits before Start.A plan describes requested work; it is not evidence that a check passed.
    Read a findingOpen recorded checks, available screenshots and reproduction steps. Review leads remain separate from confirmed failures.Missing evidence, blocked checks and unvisited pages do not count as passes.
    Test after a fixRetest a retained plan and compare the original assertion with its recheck.Changed scope can make a comparison inconclusive. A passing recheck does not verify deployment or approve a fix.

    Compare Sybqa with other testing tools

    Built with Lovable?

    Lovable browser testing vs Sybqa

    Lovable’s built-in browser test helps while you build. Sybqa adds an independent check of the deployed URL after you publish.

    Lovable browser testing and Sybqa compared
    QuestionLovable browser testingSybqa
    Where it runsThe project preview you are currently working on, according to Lovable’s docs.The deployed URL you provide, including a production URL.
    After deployThe docs describe testing the current preview; they do not describe a post-deploy re-check.Run a saved plan after each deploy through API tokens or GitHub Actions, then inspect the new verdict.
    What you keepSteps, screenshots and results in Lovable’s project Details view. Browser testing is included in the $25/month Pro plan.Downloadable HTML, JSON and JUnit evidence reports with reproduction steps, available screenshots and the checks that stayed blocked or untested.

    Sources: Lovable browser testing docs and Lovable pricing, checked October 29, 2026.

    Features

    What you get

    Test sites built with Lovable, Bolt, v0, Cursor or your own stack. Start with a public link; no code connection required.

    Journey tests

    Test more than the first page. Review a plan for navigation, forms, validation and recovery, then reuse the same steps when you check your next release.

    Mobile and accessibility

    Check desktop, phone and narrow layouts with automated accessibility checks, contrast measurements and browser errors. A pass is not a compliance certificate.

    An AI specialist team

    Give 2–5 AI QA bots different jobs: journeys, input validation, state recovery, mobile layouts and keyboard access. One report keeps their evidence together. AI teams use paid credits.

    Evidence reports

    Read the steps and available screenshots for each finding, watch recordings when enabled, and download HTML, JSON or JUnit to hand to your team. Confirmed failures, review leads and blocked checks stay distinct.

    Fix briefs and retests

    Hand a finding’s fix brief to your developer, Cursor or another coding tool. After the change, retest the original claim. Sybqa does not edit or deploy your code.

    Post-deploy checks

    Repeat the check after each release. Download a reviewed plan and run it through API tokens or a GitHub Actions workflow. Keep the verdict and evidence report with your build. Set up deploy checks.

    Guides: Website launch checklist · Vibe testing · Test an AI-built site · Mobile-friendly test · UI and UX checks · Report example · All guides

    Pricing

    Pricing, plainly

    Start with free browser checks. Add AI exploration, specialist bots and visual review with Starter.

    Free

    Free

    $0

    • After you sign up: 10 runs a month.
    • Browser checks of links, forms, layout and contrast. No AI review.
    Test my site free

    AI review

    Sybqa Starter

    $19 / month

    • 500 AI credits each month. An estimated 15–29 full AI checks; actual use depends on scope, model and bot count.
    • AI suggests possible problems. Measurable claims are checked in the browser; other suggestions need your review.
    • Need more? Add 250 credits for $9; roughly 7–14 checks at the same estimated usage.
    • Cancel anytime in the billing portal.
    Start with Starter

    Full pricing details: what counts as a run, and free or paid

    Common questions

    What does Sybqa check?

    Reviewed browser journeys, links, form validation, responsive layouts and automated accessibility checks. Optional AI specialists explore additional issues; the report separates confirmed failures from suggestions and incomplete coverage. Compare testing tools.

    What is Sybqa?

    Sybqa is a website QA tool for founders and small teams, including teams building with Lovable, Bolt, v0 and Cursor. Review a test plan, run browser checks, inspect evidence and retest fixes. Optional AI specialists explore journeys and suggest issues for review.

    Why not just ask ChatGPT, Claude or my builder to test it?

    Sybqa runs a separate browser check and records evidence. It measures claims about contrast, labels and target size; other model suggestions stay marked for your review. Start with a public link and review the plan. Test signups and payments need your development keys and test setup. See how it works.

    Does Sybqa change anything on my site?

    Sybqa does not edit your code or settings. Hosted runs default to read-only. Test transactions require an installation explicitly configured for test systems and development credentials; paying for a plan does not enable them by itself. Sybqa attempts test-data cleanup and reports manual steps when cleanup is incomplete.

    What’s in the report?

    Problems with the screenshots and recorded steps available for each check, a list of what couldn’t be tested, and JSON and JUnit files for your CI. Open the sample report.

    Do I need a credit card to start?

    No. The free plan needs only an account, and you add a card only if you choose Starter. See what each plan includes.

    Can I run it on every deploy?

    Yes. Save a reviewed plan, create an API token, and add a GitHub Actions workflow. Each pull request or deploy gets a verdict and report link in the job summary. Read the CI guide.

    What do free runs and AI credits include?

    The free account includes 10 browser runs a month without AI. Starter includes 500 AI credits a month. At the estimated 17–33 credits per check, that is roughly 15–29 checks. Scope, models and extra bots change usage. Checks that don’t use AI use no credits.

    What happens when my credits run out?

    Buy a top-up in Billing: $9 adds 250 credits, about 7–14 checks. Top-up credits roll over while your plan is active. Or wait for your plan to renew. Runs that don’t use AI still work.

    Can I cancel?

    Yes. Cancel renewal in the billing portal. Access continues to the paid-through date; saved evidence follows the retention schedule in our privacy policy.

    Can I test signups, login and payments?

    Read-only hosted runs can be blocked by authentication or actions that change data. Test transactions require an enabled test setup and development-mode credentials. Live payments are not supported. Review setup and cleanup requirements before running them.

    Can I compare my site with Figma?

    You can save a Figma link with a run. Hosted Sybqa treats the link as a reference; image comparison requires a local installation with an exported reference image or configured Figma access. A link alone is not a completed design comparison.

    Can Sybqa remember previous checks?

    Account learning can use eligible journey summaries from earlier runs to prioritize future plans for the same site. You can pause or dismiss it. Prior results help planning; they do not prove the next release works.

    Test my site free

    Ready when your link is

    Test it before you share the link.

    Test my site free View sample report