AI User

AI User

WebsiteContact for PricingAI Testing & QAAI Code Refactoring
AI User is an autonomous app testing platform that converts natural language prompts into self-healing test cases while providing comprehensive application testing and quality assurance.
https://www.aiuser.xyz/?ref=producthunt
AI User

Product Information

Updated:Aug 26, 2025

What is AI User

AI User is an innovative automated testing solution designed to revolutionize the way applications are tested and maintained. It serves as a sophisticated QA automation tool that combines artificial intelligence with advanced testing capabilities to autonomously test critical user flows, catch issues, and maintain test cases without constant human intervention. The platform has been serving businesses for over thirty years, developing custom software solutions and aligning systems with customer needs while improving business work processes.

Key Features of AI User

AI User is an autonomous app testing platform that converts natural language prompts into automated test cases. It features self-healing capabilities when UI changes, supports various testing modes including on-demand, scheduled, and CI/CD integration, and performs exploratory testing to catch unexpected issues. The platform operates with enterprise-grade security measures and offers flexible pricing based on test volume and usage.
Prompt-to-Test Case Conversion: Automatically generates complete test cases from natural language prompts, including detailed steps and assertions
Self-Healing Test Scripts: Automatically recognizes and adapts to UI changes, maintaining test stability without manual intervention
AI-Powered Exploratory Testing: Autonomously explores applications like a real user to identify potential issues, bugs, and edge cases
Flexible Test Execution: Supports multiple testing modes including on-demand, scheduled runs, and CI/CD pipeline integration

Use Cases of AI User

Continuous Integration Testing: Integrate with CI/CD pipelines to automatically test new code changes and catch issues early in development
Regression Testing: Automatically verify that existing functionality remains intact after UI updates or code changes
User Flow Validation: Test complex user workflows like login, checkout processes, and form submissions across different scenarios

Pros

Requires minimal technical expertise to create and maintain tests
Reduces test maintenance overhead through self-healing capabilities
Enterprise-grade security with option for private deployment

Cons

Volume-based pricing may become expensive for high-frequency testing
Requires monthly platform fee in addition to usage costs

How to Use AI User

1. Access AI User: Visit the AI User platform at aiuser.xyz and create an account to get started
2. Provide Application URL: Enter the URL of the web application you want to test
3. Write Test Prompt: Write a natural language prompt describing what you want to test (e.g., 'Test the login flow with valid credentials')
4. Review Generated Test Case: AI User will automatically generate a test case with detailed steps and assertions based on your prompt
5. Edit Test Steps (Optional): Make any necessary adjustments to the automatically generated test steps if needed
6. Choose Execution Method: Select how you want to run the tests: on-demand, scheduled, or via CI/CD pipeline integration
7. Monitor Test Execution: Watch the test execution progress and review results in real-time
8. Review Test Results: Examine test outcomes, including any issues found during execution
9. Enable Exploratory Testing (Optional): Provide high-level prompts for AI User to autonomously explore your application and identify potential issues
10. Configure Security Settings: Set up security preferences and deployment options based on your organization's requirements

AI User FAQs

AI User is an autonomous app testing platform that converts prompts into test cases and automatically tests critical user flows in applications. It features self-healing capabilities when UI changes and can run tests on-demand, on schedule, or within CI/CD pipelines.

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