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Independent browser testing. Evidence a person can review.
Run approved CRM, CMS, ecommerce, and web-app journeys on a schedule—then receive exact assertions, screenshots, video, traces, and alerts when behavior changes.
Runs unattended after configuration. Human-owned requirements, credentials, safety gates, and escalation remain in place.
vokhid-autoPASS
Live Shoplenty checkout
- 01 Storefront reachable ✓
- 02 Product and coupon verified ✓
- 03 Checkout total $0.00 ✓
- 04 Order confirmed ✓
- 05 2.56 MB download delivered ✓
Video 26.84 s7 screenshotsTrace saved
Real recorded demonstration
A complete Shoplenty purchase, from product discovery to delivered file.
Recorded on August 29, 2026 in an isolated Chromium session. The selected item was digital-only, the approved coupon reduced the order to zero, no card was entered, and no physical fulfillment was created.
Screenshot evidence
Every page and meaningful state was captured.
Contact data and the test-order identifier are redacted in the public screenshots. The automation used clearly labeled synthetic billing information.
Live storefront
Verified that the public store loaded, the Shop heading was visible, and digital downloads were available.
Digital product
Opened the selected wall-art bundle and checked the product name, digital-only disclosure, displayed price, coupon, and Add to cart control.
Cart before discount
Confirmed one expected product, quantity one, and the pre-coupon price before continuing.
Coupon and zero total
Applied ARTFREE, verified the success message, and asserted that the estimated total changed to $0.00.
Checkout ready
Used clearly labeled synthetic test details, kept the order total at $0.00, and verified that Place Order was enabled.
Order confirmed
Verified the order-received page, expected product, coupon discount, $0.00 total, and available download action.
Download delivered
Triggered the digital download and saved a 2.56 MB ZIP file, proving that the delivered file was not empty.
CRM and CMS coverage
One agent, separate controlled journeys.
Each journey begins from a known account and data state, performs user-visible actions, asserts the business outcome, saves evidence, and routes uncertainty to a responsible owner.
Test the work behind the dashboard.
- Sign-in and role permissions
- Create, search, filter, and update records
- Required fields and validation messages
- Lead, order, case, and opportunity status changes
- Duplicate prevention and recovery paths
- Audit-visible user outcomes
Test content from draft to public page.
- Editor sign-in and permission limits
- Draft, preview, schedule, and publish states
- Forms, links, blocks, and media
- Responsive desktop and mobile layouts
- Titles, descriptions, canonicals, and structured fields
- Broken-content and regression alerts
Run on a schedule and escalate with evidence.
- Hourly, daily, release, or deployment triggers
- Chromium, Firefox, and WebKit projects
- Video, screenshots, trace, and written result
- Failure retry and flaky-test classification
- Email, chat, Jira, or incident-system alerts
- Human review for ambiguous or consequential actions
What “independent” means
Autonomous execution. Accountable ownership.
Once configured, the agent does not need a person to click through each run. It opens the approved environment, performs the journey, validates visible outcomes, preserves evidence, and reports the result.
Navigation, form interaction, assertions, screenshots, video, traces, retries, schedules, and alerts.
CAPTCHA, unexpected authentication, ambiguous requirements, unsafe data, or a consequential action outside the approved test plan.
Requirements, credentials, fixtures, access, release decisions, alert response, and approval for charges, fulfillment, messages, deletion, or permission changes.
Evidence-based result
What this demonstration proves—and what it does not.
Proven in this run
- The live storefront and product page loaded.
- The expected product entered the cart at quantity one.
- ARTFREE reduced the cart and checkout total to $0.00.
- The guest checkout accepted synthetic test data.
- The order-received page showed the expected product and zero total.
- The download action delivered a non-empty 2.56 MB ZIP file.
Not proven by one run
- Every product, coupon, role, browser, or viewport.
- Paid card processing, refunds, taxes, shipping, or fulfillment.
- Complete accessibility, security, performance, or usability.
- That a future scheduled run will remain green without monitoring.
- That a passing UI flow validates unasserted back-end rules.
- That every failure can be safely repaired without a person.
Continue the topic
Build reliability around the recorded journey.
AI UI testing for web apps
Combine deterministic browser assertions, safe test data, AI-assisted scenario design, and accountable release review.
Visual regression testing
Control screenshots, rendering conditions, difference triage, and baseline approval without hiding uncertainty.
Business-risk checklist
Review data, permissions, accuracy, recovery, cost, and human ownership before automation expands.
Common questions
Playwright UI testing agent FAQ
Can a Playwright UI testing agent run 24/7?
Yes. After the journeys, accounts, data, assertions, schedule, and alert rules are configured, Playwright tests can run unattended around the clock on a runner or cloud schedule. A responsible owner still defines requirements, reviews meaningful failures, approves consequential actions, and maintains credentials and test data.
Can it test a CRM or CMS without a person clicking every step?
Yes. It can sign into an approved test account, navigate forms and records, validate visible outcomes, capture evidence, and report deviations without a person driving the browser. Ambiguous requirements, CAPTCHA, production-side effects, and high-risk actions should stop or route to human review.
What evidence does each run produce?
A run can preserve pass or fail assertions, screenshots, video, a Playwright trace, console and network context, timing, and a written summary that links each finding to a reproducible step.
Does one passing run prove the entire application works?
No. It proves only the named journeys, browsers, data, viewports, and assertions used in that run. Coverage should be expanded according to business risk, with separate accessibility, security, performance, API, and human usability evaluation where appropriate.
Your application
Choose one critical CRM or CMS journey.
CSLM can map the starting state, safe test account, visible assertions, evidence package, schedule, and escalation rule for one contained Playwright demonstration.
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