> ## Documentation Index
> Fetch the complete documentation index at: https://yoqa.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> What agentic QA is, why visual testing is different, and who Yoqa is for.

Script-based tools like Appium or XCUITest break when the UI changes and struggle with non-native surfaces — games, WebViews, canvas UIs, and system dialogs. Manual testing works anywhere, but it does not scale.

Yoqa replaces brittle locator scripts with an **AI agent** that interacts with your app the way a human tester would. For autonomous runs it operates from **screenshots** — no hand-written locators. You describe the goal in plain English; the agent decides what to tap, swipe, or type based on what it sees.

Coding agents can also drive the same device through the [`yoqa` CLI](/docs/cli) using a cleaned accessibility tree for cheap, precise inspect → act → verify loops.

## Who Yoqa is for

* **Individual developers** — validate a feature before it goes to QA. Catch obvious regressions in minutes.
* **QA engineers** — automate repetitive regression flows and free time for exploratory testing.
* **Mobile teams** — keep a living suite of natural-language cases on local simulators and devices while cloud/CI lands later.

## Local-first

Phase 1 runs entirely on your Mac: desktop app + runner + BYO [AI providers](/docs/providers). No account wall for local debug, catalog, or agent runs.

Ready to see how it works? [How Yoqa agent works →](/guide/how-yoqa-agent-works)