AI Generator
Turn requirements and acceptance criteria into actionable QA coverage.
Need clearer criteria first? Use the acceptance criteria generator before drafting QA coverage.
QA knowledge base
AITestCaseGenerator helps QA teams turn product requirements and acceptance criteria into structured manual test cases, Gherkin scenarios, edge cases, negative tests, and CSV-ready exports.
Use clear requirements, acceptance criteria, validation rules, user roles, constraints, and examples of valid or invalid data.
| ID | Title | Priority | Type | Expected Result |
|---|---|---|---|---|
| TC-001 | Verify password reset request with a registered email | High | Positive | A reset link is sent and the user receives a confirmation message. |
| TC-002 | Verify weak password is rejected during reset | High | Negative | The form blocks submission and explains the password rule that failed. |
| TC-003 | Verify expired reset link cannot be used | Medium | Edge Case | The link is rejected and the user can request a fresh reset email. |
Yes. Paste a requirement, PRD excerpt, user story, or acceptance criteria and the generator drafts manual test cases, negative cases, edge cases, Gherkin, CSV fields, and automation-oriented prompts.
Yes. A user story with acceptance criteria is one of the best inputs because it gives the generator actor, goal, business value, and pass/fail rules.
Yes. Use the main generator for manual cases and Gherkin, then use the Playwright MCP generator for automation prompts and Playwright spec drafts.
Yes. The generator can structure cases as a CSV-ready table with title, preconditions, steps, expected result, priority, type, and test data fields.
No. It accelerates first-draft coverage, but QA teams should review edge cases, business rules, and product-specific risks before importing cases.
A clear user story, acceptance criteria, business rules, constraints, and examples of valid or invalid test data produce the strongest output.
An AI test case generator turns requirements, user stories, and acceptance criteria into reviewable QA coverage. Use it to draft manual test cases, negative and edge cases, Gherkin scenarios, CSV exports, and automation prompts before a QA lead reviews the final suite.
Output examples
As a registered user, I want to reset my password so that I can regain access when I forget it. Acceptance criteria include registered email, reset link, password rules, expired link handling, and confirmation.
TC-001, Verify reset request with registered email, High, Positive, Steps: open login, click Forgot Password, submit registered email. Expected: reset email is sent and confirmation appears.
Playwright outline: navigate to login, open forgot-password form, fill registered email, submit, assert confirmation text, then validate weak password and expired-link error states.
Related tool
Use the AI test case generator for manual QA coverage first, then send the same story to the Playwright MCP generator for automation prompts or to the MCP server testing checklist when validating tool-based QA agents.
Read more
Generate manual QA test cases, software test cases, requirements-based cases, and user-story test cases with examples and templates.
QA templates - 6 min readUse the acceptance criteria generator to turn feature notes into testable rules, QA checks, and Given/When/Then examples before sprint handoff.
Acceptance criteria - 5 min readSee how a password reset story becomes reviewable QA cases with priorities, types, and expected results.
Guide - 6 min read
Turn acceptance criteria into Given / When / Then scenarios for product and engineering review.
BDD - 5 min read
Convert Jira stories into manual test cases, Gherkin, CSV, Xray, and Zephyr-ready QA rows for sprint review and import.
Jira QA - 5 min readPaste a Jira story, bug report, or acceptance criteria and export Classic cases, Gherkin, CSV, Excel, Xray, or Zephyr-ready fields.
Jira workflow - 5 min read
Use the review console to inspect steps, preconditions, expected results, and suggested test data.
QA workflow - 7 min readDraft Playwright MCP test steps, automation cases, and Claude Code prompts from a URL and acceptance criteria.
Playwright MCP - 6 min readGenerate smoke checks, tool-call cases, malicious input probes, permission checks, and Claude Code or Cursor prompts for MCP server testing.
MCP testing - 7 min readUse a replay checklist, immutable audit log fields, trace template, and comparison table to reproduce failed AI agent interactions.
Agent QA - 6 min readFormat generated QA cases for CSV review, Excel handoff, and Jira-connected imports.
Export workflow - 4 min read