Every team using LLMs for test case generation hits the same wall. The output is fast and looks thorough. Then a sprint passes. Then two. And the test cases start describing a product that no longer exists.
A fragment of a user story. The model fills the rest with guesswork. What comes out is plausible but incomplete and you're the one filling the gaps from memory.
They live in a doc. When your specs change, nobody updates the doc. Six weeks later you're referencing test cases that describe a product that no longer exists.
You have 200 test cases in Confluence. How many cover the integrations that actually matter? How many describe deprecated flows? You don't know.
Link Jira or Linear for requirements, Figma for UI flows, OpenAPI or Postman for API contracts, and GitHub for code and CI status. Setup takes minutes.
Text2Test maps relationships across all connected artifacts. It knows which user story maps to which endpoint, which Figma screen corresponds to which route, which existing tests cover which flow.
Test cases are generated with knowledge of your entire product, not a single pasted paragraph. Happy paths, edge cases, boundary conditions, and integration scenarios all included.
When a spec changes, affected test cases are flagged for regeneration. One action, not a spreadsheet audit. Your test suite ages with your product instead of against it.
Answer 4 questions about how your team works today. We will show you where the time goes and what changes with Text2Test.
No migration. No new tools. Text2Test plugs into what your team already uses.
When you have an investor demo on the calendar and a small team moving fast, you cannot afford test cases that describe a product from three sprints ago. Source-of-truth generation gives you coverage that keeps up.
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