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Have AI draft test cases from the user story or spec
AI is good at listing happy paths, edge cases and negative cases from a spec. You remove the irrelevant ones and add product knowledge it does not have.
- 1Paste the user story, acceptance criteria and any designs.
- 2Use the prompt below and ask for your test management tool's format.
- 3Prune and adjust, then import into TestRail, Xray, Zephyr or Qase (several now have built-in AI generation).
From the user story and acceptance criteria below, write test cases as a table with columns: ID, title, preconditions, steps, expected result, priority, type (happy path, edge, negative, accessibility). Cover each acceptance criterion at least once. List any questions where the spec is ambiguous instead of guessing. [PASTE STORY, CRITERIA AND NOTES]
Tools: ChatGPT, Claude, Gemini or Microsoft Copilot · TestRail, Xray, Zephyr or Qase