> For the complete documentation index, see [llms.txt](https://learning.contextqa.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://learning.contextqa.com/getting-started.md).

# Getting Started

- [Introduction to ContextQA](https://learning.contextqa.com/getting-started/introduction.md): An overview of ContextQA, an AI-powered test automation platform that lets teams create, run, and maintain web, mobile, and API tests using natural language.
- [Quickstart Guide](https://learning.contextqa.com/getting-started/quickstart.md): A step-by-step guide to signing in, creating a test case with AI assistance, running it, and reviewing the results in under five minutes.
- [Tutorial: CI/CD with GitHub Actions](https://learning.contextqa.com/getting-started/ci-cd-tutorial.md): Set up automated test execution in your GitHub Actions pipeline — organize tests into a suite and plan, configure GitHub secrets, add the workflow file, and verify your first automated run.
- [Interactive Demo](https://learning.contextqa.com/getting-started/interactive-demo.md): Step through real ContextQA workflows — every screenshot captured live by the AI agent, every action logged.
- [Core Concepts](https://learning.contextqa.com/getting-started/core-concepts.md): A practical explanation of every major building block in ContextQA, from workspaces and test cases to environments, self-healing, and the MCP server.
- [Platform Architecture](https://learning.contextqa.com/getting-started/architecture-overview.md): A detailed explanation of ContextQA's 9-stage AI execution pipeline, its 13+ specialized agents, infrastructure components, and the MCP server that connects the platform to external AI assistants.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://learning.contextqa.com/getting-started.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.