Story-Driven Test Case Creation, powered by AI
Story powered
AI Test Case Generation
Teststory.ai empowers developers and QA to build effective test cases from User Stories, Issues, Epics, Process Diagrams, and even free form test. Unlike other AI test case tools that generate generic test cases, TestStory is trained on years of QA best practices and test case knowledge, and creates powerful and effective test cases that can outperform manual QA test case generation.
Your Expert QA Agent
The TestStory.ai QA Agent is trained with decades of QA expertise and knowledge. Powering the TestStory agent is the Free TestQualityAI model (powered by Google Gemini). TestQuality's built in model does not use your stories or test cases to train on your data, so your data, stories, and test cases are not shared with AI providers or used in training - unlike most free AI models in other tools. If you have AI compliance policies you can bring your own AI provider and key to comply with your companies AI policies..

Integrate or Export to any format
TestStory.ai test cases are stored in TestQuality's flexible OpenTest format, and can exported to Markdown, PDF, CSV, Sent to collegues via email, or auto-synchronized with test management platforms like TestQuality, TestRail, or Zephyr.
Sync with TestQuality, TestRail, and Zephyr
Built in integrations with TestQuality, TestRail, and Zephyr enable auto-syncrhonization of test cases with popular test management platforms. Generate tests in Teststory, then execute, measure, and manage directly in your test management tools.
Integrated with GitHub, Jira, and Linear issue trackers and project management
Seamless integrations with GitHub, Jira, and Linear mean you can easily generate comprehensive test cases from your issues, stories, and epics directly from your issue trackers and project planning tools.
New and Updated Story Alerts
Issue update notifications alert you to new and updated issues and stories, so you know instantly and exactly what needs tests. And loading up the story for test generation is just a single click on the story.
API, MCP, Claude, VSCode/Copilot, and Cursor (A2A support coming soon)
TestStory's API can be used with devops workflows to generate test cases from GitHub Actions and CI/CD pipelines, and the MCP can be used to integrate with AI tools such as Claude, VSCode/Copilot, Cursor, and more
Natural Language Test Creation with Claude & MCP
TestStory seamless plugs into AI tools like Claude, Claude Code, Cursor, VSCode/Copilot so you can use the power of TestStory within your AI workflows, all of TestStory's QA power and control is available in your chats, including integration with your Test Management tools like TestQuality.
Test Technical and Business Process Diagrams
Generate comprehensive test cases from your process diagrams. TestStory support Visio, Lucidchart diagrams, as well as diagrams in PDF, PNG, and JPEG. TestStory understands, maps out process steps and acceptance for a variety of Software, Technical, and Business diagram formats including:
Flowcharts, Swimlanes, UML Use Case, Class, Sequence, UML activity flows, State Machines, ERD Entity relationship, Data Flow, System Architecture, BPMN, Swimlane, Value Stream, GANTT, Org Charts, Mind Maps, Kanban, Journey Maps, SIPOC (Suppliers, Inputs, Processes Outputs, Customers)
Control your Testing Strategy with "Test Dials"
Most AI test case generation is frankly "dumb" and lacks specific controls, and produces test cases thare are frankly not truely useable for real world testing. We built TestStory to be the smartest QA engineer in the room, and to give you the right amount of control on Testing strategy. Dial's help you to "dial in" the proper scope, audiences, and specific test types to include. TestStory generated test cases are comprehensive and follows your test strategy and intents.
Reusable Preset packs to target testing types
TestStory comes with pre-built preset packs to help you build tests for specific types of testing such as Smoke tests, or Accessibility. Pre-sets are preset packs of test Dial settings geared toward specific use cases. You easily can modify presets and save as custom packs or create your own from scratch. Presets are availble from the UI as well as from the API and MCP.
Smart, Fast, and AI-Driven:
Why TestStory.ai Redefines Test Case Writing
In today's fast-paced development, high-quality software delivery is crucial. TestStory.ai leads this evolution, transforming quality assurance. Our AI-powered test case generator is your AI partner for unparalleled testing efficiency and comprehensive coverage.
Beyond Traditional Test Case Generation:
Eliminate tedious manual test case creation. TestStory.ai leverages sophisticated AI, trained on decades of QA expertise, to instantly generate precise, actionable test cases from user stories, requirements, and complex process diagrams. This frees your QA engineers for higher-value tasks like exploratory testing and strategic planning.
Intelligent, Comprehensive, and Tailored:
Generic test cases fall short. TestStory.ai offers unparalleled control via "Test Dials" and reusable "Preset Packs," letting you fine-tune your strategy for specific scopes, audiences, and test types. Our platform adapts to your needs, ensuring relevant and effective tests for everything from smoke tests to in-depth functional scenarios.
Seamless Integration, Secure Data:
TestStory.ai integrates effortlessly with GitHub, Jira, and Linear. Its robust API supports DevOps workflows and CI/CD, while the Multi-Cloud Provider (MCP) ensures compatibility with AI tools like Claude, VSCode/Copilot. Crucially, your data is private; our AI model does not train on your information, and you can even use your own AI provider keys for compliance.
Accelerate, Innovate, Deliver with Confidence:
By integrating TestStory.ai, your team can drastically reduce testing time, enhance coverage, and improve product quality. This translates to faster release cycles, fewer bugs, and a significant ROI. Join forward-thinking teams elevating QA processes and delivering exceptional software with unwavering confidence.
Join our Next Product Demo Webinar on December 9th2nd 2025 at 15:00 CET.
AI-powered test case creation significantly optimizes building extensive test suites. Unlike slow, labor-intensive manual methods, AI rapidly generates high volumes of structured, consistent test cases from diverse inputs like user stories and process diagrams. This approach drastically cuts down on time and resources while maintaining uniform quality across hundreds or thousands of test cases—a major challenge manually. It ensures faster time-to-market and more reliable test coverage without compromising quality.
TestStory.ai is an AI-powered, story-driven test case generator that automatically creates comprehensive and relevant test cases from various inputs like user stories, requirements, and process diagrams. It revolutionizes test case generation by significantly reducing manual effort, accelerating testing cycles, and improving test coverage, all while being trained with decades of QA expertise from TestQuality.
TestStory.ai is trained on years of QA best practices and test case knowledge, utilizing advanced AI algorithms, including natural language processing (NLP) and machine learning, to understand the context and intent of your project documentation. This allows it to create powerful and effective test cases that can outperform manual QA test case generation, covering critical paths and edge cases often overlooked manually
Yes, TestQuality's built-in AI model does not use your stories or test cases to train on your data, ensuring your data, stories, and test cases are not shared with AI providers or used in training—unlike most free AI models in other tools. Furthermore, if you have specific AI compliance policies, you can integrate your own AI provider and key to maintain your company's AI policies.
TestStory.ai is designed for seamless integration with popular development and testing tools. It integrates directly with GitHub, Jira, and Linear issue trackers and project management platforms. Its API can be used with devops workflows (e.g., GitHub Actions, CI/CD pipelines), and the Multi-Cloud Provider (MCP) allows integration with AI tools like Claude, VSCode/Copilot, and Cursor. Generated test cases can be exported to Markdown, PDF, and CSV, or synchronized with test management platforms like TestQuality, TestRail, or Zephyr.
TestStory.ai is highly versatile and can process a wide array of inputs to generate test cases. This includes user stories, issues, epics, and free-form text. It also supports various process diagrams such as Visio, Lucidchart, and diagrams in PDF, PNG, and JPEG formats, understanding flowcharts, swimlanes, UML diagrams (Use Case, Class, Sequence, Activity, State Machines), ERD (Entity Relationship Diagrams), Data Flow, System Architecture, BPMN, Value Stream, GANTT, Org Charts, Mind Maps, Kanban, Journey Maps, and SIPOC (Suppliers, Inputs, Processes, Outputs, Customers).
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