Question 1

What does Yalitest actually do?

Accepted Answer

Yalitest turns PRDs, requirements, acceptance criteria, Figma notes, API specs, Confluence pages, and release plans into structured test cases. You get titles, preconditions, steps, expected results, priority, and source links back to the line in the document that created each case.

Question 2

Is Yalitest an AI test case generator or an automation runner?

Accepted Answer

Today Yalitest is an AI test case generator and review workspace. It helps teams go from PRD to test cases, requirements to test cases, and acceptance criteria to test cases. Your Playwright, Cypress, Selenium, TestRail, Jira, Zephyr, or Xray workflow remains the execution layer.

Question 3

What makes this different from asking ChatGPT?

Accepted Answer

A generic prompt gives you a loose list. Yalitest uses a product-aware pipeline: parser, scenario reasoner, edge-case reviewer, priority writer, and traceability layer. The output is a QA artifact you can review, edit, export, and defend in a release meeting.

Question 4

What file formats can I use?

Accepted Answer

You can bring PDF, Markdown, .docx, plain text, OpenAPI or Swagger JSON and YAML, Confluence exports, Notion exports, and pasted requirements. URL ingest, Figma direct ingest, and richer Jira and Confluence connectors are part of the product roadmap.

Question 5

Where do generated test cases go?

Accepted Answer

Review cases in Yalitest, then export to CSV, Markdown, Jira, TestRail, Zephyr, or Xray. Two-way sync is planned for teams that want the test case library to stay aligned with changing product requirements.

Question 6

Can it produce cases for automated web application testing tools?

Accepted Answer

Yes. Yalitest can shape cases for automated web application testing tools and manual QA review. Teams use it to create clearer Playwright, Cypress, and Selenium backlogs before anyone starts writing scripts.

Question 7

Can I use it as an AI test case generator for Jira or Zephyr?

Accepted Answer

Yes. Yalitest can draft Jira-ready and Zephyr-ready cases from product requirements, including mapping requirements to test cases and helping teams convert acceptance criteria to test cases. Native sync depth will expand over time, but early teams can already export reviewed cases into the tools their QA process uses.

Question 8

Is my documentation used to train models?

Accepted Answer

No. Customer documentation is used to generate your workspace output, not to train foundation models. Docs are isolated by workspace and can be deleted on request. Enterprise controls such as SSO, audit logs, and stricter retention settings are on the roadmap.

Question 9

What if a generated case is wrong?

Accepted Answer

You review before anything leaves the app. Every case has a source reference, so you can see why it was created, reject it, edit it, or tighten the original requirement. Low-confidence cases are designed to be surfaced instead of silently blended into the plan.

Question 10

Can I use it in regulated teams?

Accepted Answer

Early regulated teams should talk to us first. Yalitest is useful for fintech, health, and enterprise QA planning, but we want to match onboarding, retention, and audit needs before you upload sensitive documents.

Question 11

What are the best automated web testing tools in 2026?

Accepted Answer

The practical shortlist is Playwright for modern cross-browser speed, Cypress for JavaScript-heavy teams that value developer experience, Selenium for legacy or polyglot stacks, and AI-assisted systems when your bottleneck is coverage design. Yalitest sits before those automated web testing tools by generating the cases and edge scenarios they should cover.

Question 12

What is self healing test automation, and where does Yalitest fit?

Accepted Answer

Self healing test automation tools try to keep scripts working when selectors, waits, or UI details change. Yalitest is different: it focuses on the upstream QA plan, so teams understand what needs to be tested before scripts are written or healed.

Question 13

How do I reduce flaky test automation?

Accepted Answer

Start with clearer intent. Tag flaky tests, quarantine noisy suites, remove shared state, replace brittle selectors, and split smoke coverage from full regression. Better generated cases help because they describe the user outcome before the automation engineer chooses the implementation.

Question 14

How can I automate QA without hiring more human auditors?

Accepted Answer

Automate the repetitive thinking and formatting first. Use Yalitest to draft broad test coverage from product docs, then keep humans in review, prioritization, and risk judgment. That gives your QA team leverage without pretending judgment can be fully automated.

Question 15

When can I use Yalitest?

Accepted Answer

Early access is open now. Teams with a real PRD, release plan, requirements doc, or API spec move fastest because we can evaluate output quality against active work.

Question 16

How much does it cost?

Accepted Answer

Early access is free. No credit card, no usage meter, and nothing to cancel. Paid plans will be announced after more teams use the workflow in real release cycles.

Question 17

Why is there a waitlist?

Accepted Answer

The product is being onboarded in batches so founders can still read feedback, inspect failures, and improve output quality. A smaller waitlist is better than a polished signup funnel that leaves teams alone with weak results.

Clear answers before AI joins the QA workflow.

Everything a QA lead asks before inviting the team.

What Yalitest does

Inputs and outputs

Trust and privacy

Testing strategy

Pricing and access

Bring one real spec. We will show you the coverage.