Start with what must be true.
Describe the outcome in the language your team already uses. You do not need to translate it into test code.
“A customer can complete checkout with the displayed total.”VALIDATION FOR CRITICAL PRODUCT FLOWS
When you call it broken, the team can see why.
Describe a flow such as login or checkout. VerifySignal follows the same steps in a real browser and returns the exact point of failure, screenshots, and logs.
You review what will be checked before the browser runs.
CHECKOUT · LATEST RESULTcheckout / 04:29
Critical checkout flow
FAILEDThe total changed after payment
What to check was reviewed before the run- Open checkoutPASSED
- Submit paymentPASSED
- Check the totalFAILED
- Save what happenedSAVED
Expected €118.00Found €128.00
Screenshot and request log saved
Runs in a real browserFollows the same reviewed stepsSaves screenshots and logsStarts free without an account
THE PROBLEM
“Run it again” is not a diagnosis.
FOR QA
A rerun erases the story.
When red becomes green on the second try, you still do not know whether the product recovered or the check was unreliable.
FOR THE TEAM
A screenshot without context starts a debate.
Engineering needs the failed step, what was expected, what appeared, and the supporting records in one place.
HOW IT WORKS
From what should work to proof of what happened.
SCROLL TO FOLLOW THE JOURNEY↓
Follow one checkout journey from your request to a result engineering can act on.
Claude Code or Codex finds the real path.
It reads the project and checks the open product to turn that intent into concrete browser steps.
Project context + live page → proposed journeyYou keep the decision.
Review the steps, expected result, login needs, and anything that can change data before it runs.
A real unknown stops for you; it is never guessed.The browser follows the agreement.
One invocation runs one fixed sequence in a real browser. No model decides what pass or fail means along the way.
One run · reviewed steps · no improvisationThe failure arrives with context.
The failed step returns with the screenshot and request record that support it, so engineering starts from the break.
QA finding → evidence → engineering action0102030405
HOW IT WORKS
From what should work to proof of what happened.
Follow one checkout journey from your request to a result engineering can act on.
01 / 05
Start with what must be true.
Describe the outcome in the language your team already uses. You do not need to translate it into test code.
“A customer can complete checkout with the displayed total.”02 / 05
Claude Code or Codex finds the real path.
It reads the project and checks the open product to turn that intent into concrete browser steps.
Project context + live page → proposed journey03 / 05
You keep the decision.
Review the steps, expected result, login needs, and anything that can change data before it runs.
A real unknown stops for you; it is never guessed.04 / 05
The browser follows the agreement.
One invocation runs one fixed sequence in a real browser. No model decides what pass or fail means along the way.
One run · reviewed steps · no improvisation05 / 05
The failure arrives with context.
The failed step returns with the screenshot and request record that support it, so engineering starts from the break.
QA finding → evidence → engineering actionWHAT THE TEAM RECEIVES
The result answers the next question.
Instead of another green or red dot, the report shows where the journey stopped and what the product displayed.
One result, one explanation.
QA can defend the finding. Engineering can start at the failed step.
VERIFY / SIGNALILLUSTRATIVE EXAMPLE
Same flow · same report
RESULTFAILED
- Flow
- Checkout
- Failed at
- Check the order total
- Expected
- €118.00
- Found
- €128.00
- Screenshot
- payment-total.png
- Request
- POST /checkout · 200
WHAT WORKS TODAY
Start with a journey your team already checks by hand.
VerifySignal can cover real browser work now, including private pages and actions that change data.
AVAILABLE NOW
Login and private pages
Use credentials supplied at run time without writing them into the project.
Forms, checkout, and updates
Actions that change data are called out for review before they run.
Longer product journeys
Keep navigation, inputs, checks, screenshots, and logs in the same result.
Browser validation and local evidence are available today. Running a saved flow without the live site is still experimental.
START FREE
Begin with one flow your team validates manually.
Install VerifySignal, connect the coding agent your team already uses, and let the Golden Path propose the first validation for you to review.
Requires Node.js 24+ and Chromium. The installer handles Python.
Set up the project
Run steps 01–03 in the terminal at the project root.
01 · Install
The installer sets up uv and a matching Python for you if they are missing.
curl -LsSf https://www.verifysignal.io/install.sh | shAlready have uv or pipx? uv tool install verifysignal-spec does the same thing.
02 · Choose your coding agent
Choose one. VerifySignal prepares the matching integration in the project.
verifysignal init --here --integration claude03 · Check the setup
verifysignal check04 · Continue in your agentClaude Code · agent chat
Open Claude Code at the project root. Type this in the agent chat — not in the terminal.
/verifysignalThe Golden Path reads safe project context, recommends a low-risk first flow, and asks for your approval before it runs.
The first setup asks for your email and sends a free access code. No account or charge.