Autonomous application exploration
AI agents navigate the live product and investigate workflows, buttons, and features without requiring predefined test steps or manually maintained selectors.
Aurick
Freemium
Aurick is an autonomous AI QA engineer for teams that need to explore web applications, generate and execute tests, identify bugs, and review evidence without writing or maintaining test scripts.
What is Aurick?
Aurick is an autonomous AI QA engineer that explores live web applications, generates test cases, runs them, detects issues, and produces QA reports. It replaces manually scripted test setup with AI-driven interaction that follows user journeys and adapts its testing decisions as it encounters the application.
The service covers functional workflows and selected visual checks, including forms, menus, modals, conditional popups, dynamic dropdowns, autocomplete fields, and multi-step journeys. Results can include pass/fail details, logs, screenshots, browser snippets, playback recordings, reported bugs, and coverage insights.
Aurick is intended for teams that want to reduce repetitive test execution and maintenance while retaining visibility into what was tested and why a scenario failed. Users can ask the agents to expand coverage, create negative tests, explain reported bugs, or rerun failed scenarios.
What can Aurick do?
Test-case discovery and generation
Aurick builds test cases from the journeys it discovers, including multi-step workflows and scenarios that can be extended with additional or negative coverage.
End-to-end test execution
Generated tests run through real user interactions such as clicks, scrolling, form entry, modal handling, dropdown selection, and checkout-style workflows.
Bug detection with evidence
The service reports functional failures, broken flows, missing elements, failed API responses, unexpected redirects, unhandled errors, and certain UI or layout anomalies with contextual testing evidence.
Reports, logs, and playback
QA results show tested scenarios and pass/fail outcomes, with logs, screenshots, browser snippets, and playback recordings available to help teams review failures.
Parallel agent testing
Multiple AI agents can generate tests, interact with the product, identify issues, and report results in parallel to expand testing activity without multiplying manual execution work.
Use Cases
“Regression testing after product changes”
Teams can rerun existing scenarios after releases or UI changes and ask Aurick to retest failed cases, reducing the need to update brittle scripts by hand.
“Testing multi-step user journeys”
Product and QA teams can assess flows such as onboarding, form submission, and checkout, including validation across several screens or actions.
“Exploratory coverage for new features”
When a workflow has limited predefined coverage, Aurick can explore the application, discover test cases, and identify unexpected behavior around controls and conditional states.
“UI and interaction checks”
Teams can evaluate menus, modals, alerts, toasts, dynamic dropdowns, autocomplete fields, and layout behavior as users encounter them.
“Bug investigation and triage”
After an issue is reported, users can inspect the recorded steps and evidence, then question the agents about what happened and why the scenario failed.
Frequently Asked Questions
Do I need to write test scripts or define selectors?
No. Aurick’s site states that it works without test scripts, recordings, predefined steps, or manually defined selectors. Its agents navigate the application and create tests from the workflows they encounter.
What kinds of issues can Aurick identify?
The product describes detection for functional issues, broken user flows, missing elements, failed API responses, unexpected redirects, unhandled errors, overlapping elements, broken layouts, missing buttons, and other visual anomalies.
What evidence is included in the results?
Results can include test pass/fail details, step logs, screenshots, browser snippets, playback recordings, reported bugs, and coverage insights. The exact reporting capabilities vary by plan.
Can Aurick test complex workflows?
Yes. The site describes testing for multi-step workflows, end-to-end journeys, forms, conditional modals and popups, dynamic dropdowns, autocomplete fields, and flows such as onboarding through checkout.
Are there different plans for teams?
Yes. The pricing page lists Explorer, Pro, and Team paid plans, as well as a custom Enterprise option. Limits and capabilities differ by plan, including test generation, executions, projects, reporting, support, and collaboration features.
Quick Facts
- Category
- AI QA and software testing
- Primary users
- QA teams, software teams, and product teams
- Core workflow
- Explore application → generate tests → execute tests → report bugs
- Testing approach
- Autonomous, script-free interaction with live products
- Plans
- Explorer, Pro, Team, and custom Enterprise
- Source domain
- aurick.ai
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