Start with what you already have — a spec, a user story, an API doc, or the code itself. WeSimplifAI writes the test cases from what's actually there, and tells you plainly when something can't be tested yet.
You already have the spec, the ticket, or the code. Writing every test case from it by hand is slow and easy to leave gaps in. Pasting it into a general chat tool is fast — but nothing stops it from confidently describing an "Expected Result" for behavior your spec never actually specified, and that gap doesn't show up until someone trusts a test case that was never real.
Every claim traces back to what you actually provided, and anything that can't be verified from your evidence is marked "Not Testable" instead of guessed at.
What are you testing? Pick from Application, Feature, User journey, API or service, Source code, A recent change, or Something else. Optionally narrow it — Unit, Integration, API, End-to-end, Functional, Regression, Security, or Not sure — and add anything specific you want covered. WeSimplifAI won't generate test cases from a description alone — real evidence is what it grounds every claim in, so it asks for the document before it asks you to write anything.
First, a grounding check — does the evidence you attached actually contain what this test case claims it does. Second, a distinct testability check — is the expected result specific enough to be a real pass/fail test, or is it a plausible-sounding restatement of something your evidence only implies. A separate, deterministic pass also screens for anything sensitive in your evidence — credentials, tokens, keys — before it's ever echoed back into a test case.
Catches a symbol or claim your evidence never actually contains — a fabricated method name, field, or behavior.
Catches an Expected Result that's plausible-sounding but not actually specific enough to be a pass/fail test.
The strongest evidence this capability has is a real production run against a client's confidential 18-page SDK integration guide — it can't be shown here because the source is confidential, not because it doesn't exist. A new, intentionally non-confidential example is being generated specifically to show here.
The generation, grounding, and testability discipline described above was built through ten rounds of real production QA against actual evidence — including catching and fixing a genuine credential leak (a real token reproduced verbatim from source evidence into a test case, found, fixed, and re-verified against the identical evidence a third time) and a severe truncation bug found only when tested against a real 18-page document, not a small fixture.
The no-evidence gate is one piece of this that's fully confirmed in production today: the founder ran the real no-evidence click-through against the live capability and confirmed it correctly refuses to generate without a real document attached — describable and citable here without exposing any confidential content, since it's a statement about the absence of evidence, not its contents.
A captured, visible demonstration of the grounding and Testability Gate behavior — something a visitor could watch or click through themselves — doesn't exist publicly yet. That behavior is real and has been verified internally and repeatedly; it just isn't recorded anywhere public today.
A general chat tool will happily draft you a test case for almost anything you ask about — it just won't tell you when it's guessing. WeSimplifAI competes on refusing to guess, and saying so plainly when your evidence doesn't support a claim.
We don't compete with tools like TestRail, Zephyr, or Xray. WeSimplifAI doesn't run, schedule, or track your tests — it produces the document you'd load into one of those.
We don't compete with tools that write compiled test code from source. The output here is a structured, reviewable document for a QA process, not test code to check in.
A test-case document doesn't test anything sitting in a downloads folder either. Here's how it's meant to be used.
Attach the spec, the API doc, or the code. WeSimplifAI grounds every case in what's actually there.