Autonomous application exploration
AI agents navigate a live web application, inspect workflows, and discover features and potential issues without requiring predefined test steps.
Aurick
Aurick is an autonomous AI QA tool that explores web applications, generates and runs tests, and reports bugs with supporting evidence. It is designed for developers, QA teams, and product teams that want to investigate coverage and regressions without writing test scripts.
Autonomous QA testing for web applications
Aurick is an autonomous AI quality-assurance tool for testing web applications. It explores a live product, identifies user journeys, generates test cases, executes those cases, and reports functional or visual issues without requiring users to write test scripts or define selectors.
Its workflow combines autonomous exploration with a conversational testing interface. Teams can review what was tested, inspect evidence such as logs and screenshots, ask follow-up questions about failures, and rerun or extend coverage for scenarios such as authentication, forms, checkout, and other end-to-end workflows.
Core capabilities
Automatic test-case generation
Aurick turns discovered flows into test cases, including multi-step journeys such as login, checkout, form submission, and other core interactions.
End-to-end test execution
Generated tests run step by step against the product, with support for interactions such as forms, modals, alerts, toasts, dynamic dropdowns, and autocomplete fields.
Evidence-rich test results
The system records test activity and provides pass/fail results, logs, screenshots, browser snippets, and replay or playback evidence for investigation.
Bug reporting and conversational investigation
When an issue is detected, Aurick creates an issue report with context and reproduction steps; the site also describes conversational follow-up with the agents that found the problem.
Parallel agents and natural-language analysis
Multiple AI agents can work in parallel, and users can ask natural-language questions about coverage, regressions, failed scenarios, and release readiness.
Practical use cases
Regression testing for login and account flows
Have Aurick explore authentication journeys, including valid and invalid credentials, field validation, redirects, and error handling, then review the resulting evidence.
Checkout and payment validation
Test a complete purchase path from product selection through cart and payment, including validation errors, loading states, and successful or failed transitions.
Complex interface interaction testing
Generate coverage for multi-step forms, conditional modals, alerts, toasts, dropdown search, autocomplete, and other asynchronous interface behavior that is time-consuming to check manually.
Release and regression investigation
Ask for coverage or issues from a recent test run or deployment, inspect reproduction steps, and use the results to support release-readiness decisions.
Cross-functional quality review
Run multiple agents against different workflows or ask questions about test coverage, critical-path status, and recurring regressions to give developers, QA managers, and product managers a shared quality view.
Pros and Cons
Pros
- Requires no manual test scripts, selector definitions, or recorded test steps for the described autonomous workflow.
- Combines test discovery, generation, execution, and issue reporting in one workflow.
- Provides investigation evidence including logs, screenshots, reproduction steps, and replay or playback details.
- Supports conversational questions about test results, coverage, regressions, and reported bugs.
- Offers parallel AI-agent testing and plan options for individuals, teams, and enterprise organizations.
Cons
- The public materials do not specify the full range of supported browsers, application environments, or integration options.
- The extent of autonomous coverage can depend on the application workflows and access provided; the site does not publish a detailed coverage methodology or limitations.
- Plan limits for credits, test generations, executions, projects, and related features vary substantially by tier.
FAQ
How does Aurick work?
Aurick explores a live web application, identifies user flows, generates test cases, executes them, and reports results with logs, screenshots, recordings or replays, and reproduction steps. Users can also ask questions about test runs and reported issues through its conversational interface.
Do users need to write test scripts?
No manual test scripts, selectors, or predefined steps are required for the autonomous testing workflow described on the site. Aurick is presented as a zero-setup product, although the site directs new users to book a demo or contact the company for onboarding.
What kinds of issues can Aurick find?
The site says Aurick can identify functional issues, broken flows, missing elements, failed API responses, unexpected redirects, unhandled errors, and visual problems such as overlapping elements or broken layouts.
What does a QA report contain?
Test results include pass/fail details, logs, screenshots, and playback or replay evidence. Reported issues can include reproduction steps and recommendations, while higher-tier plans describe more detailed or customizable reports.
Is Aurick available for teams?
Aurick is offered in Explorer, Pro, Team, and Enterprise plans. The public pricing page lists fixed monthly plans for the first three tiers and custom pricing for Enterprise; available credits, executions, projects, and reporting features vary by plan.
Quick Facts
- Category
- AI software testing and QA
- Primary surface
- Web applications; the platform page also references APIs
- Workflow
- Explore, generate test cases, execute tests, and report issues
- Interaction model
- Autonomous agents with natural-language questions and follow-up
- Evidence
- Logs, screenshots, reproduction steps, and replay or playback details
- Plans
- Explorer, Pro, Team, and custom Enterprise pricing
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