What to Ask Leina to Do with Qase
Copy a prompt, add your details, and send it to Leina in your connected team chat.
Search project cases and read one case’s detailed content.
List cases in project [code] matching [search], read case [ID] and summarize coverage.
Turn supplied test details into a case with preconditions and expected postconditions.
Create case [title] in project [code] with description [text], preconditions [text] and postconditions [text].
Create a named run with selected test case IDs.
Create run [title] in project [code] using case IDs [IDs], without including all cases.
Get Started with Qase
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Connect Your Account
Provide a Qase API token.
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Try a Task
Tell Leina what you need in your team chat. Include the source, destination, and expected result.
Set Up Leina in Your Chat → -
Check the Result
Review the result and any changes in the connected app.
Supported Qase Capabilities
Use AI with Qase to inspect test cases, create structured cases and prepare test runs from supplied case selections.
- Review Test Cases
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Search project cases and read one case’s detailed content.
- List Cases
- Get Case
- Create a Test Case
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Turn supplied test details into a case with preconditions and expected postconditions.
- Create Case
- Prepare a Test Run
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Create a named run with selected test case IDs.
- Create Run
View All 9 Actions
- List Projects
- Get Project
- List Cases
- Get Case
- Create Case
- List Runs
- Get Run
- Create Run
- Complete Run
Frequently Asked Questions
Does creating a run execute tests?
It creates a test-run record. Test execution and result reporting are separate work.
Which project identifier should I use?
Use the Qase project code rather than a display name for case and run requests.
What should I specify in my request?
Use the project code and case or run IDs. Creating a run prepares a test record; it does not execute the tests.
Your AI employee for Qase
Tell Leina what you need in your team chat. Include the source, destination, and expected result.