> 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/ai-features.md).

# AI Features

- [AI Features Overview](https://learning.contextqa.com/ai-features/ai-features.md): Overview of ContextQA's AI capabilities — test generation, autonomous execution, self-healing, knowledge base, custom agents, and context graph.
- [AI Assistant](https://learning.contextqa.com/ai-features/ai-assistant.md): Use the AI Assistant to navigate the ContextQA platform, generate test cases from natural language descriptions, and get contextual help during test execution.
- [AI Test Generation](https://learning.contextqa.com/ai-features/ai-test-generation.md): Generate test cases automatically from Jira tickets, Figma designs, Swagger specs, videos, or natural language using ContextQA's AI-powered test generation.
- [Tutorial: Generate Tests from Requirements](https://learning.contextqa.com/ai-features/generate-tests-from-requirements-tutorial.md): Turn a requirements document into a full test suite. Upload a specification, answer the AI's clarifying questions, review the generated test cases with traceability back to each requirement, and run t
- [Requirements Coverage Gaps](https://learning.contextqa.com/ai-features/requirements-coverage-gaps.md): How to review AI-identified coverage gaps in your uploaded requirements, inspect gap details with similarity scores, and accept or dismiss AI-suggested test cases.
- [Autonomous Agent Pipeline](https://learning.contextqa.com/ai-features/autonomous-agent-pipeline.md): How ContextQA's autonomous AI agent pipeline executes tests across nine stages — navigate, discover, plan, execute, capture, assert, heal, report, and archive.
- [Knowledge Base](https://learning.contextqa.com/ai-features/knowledge-base.md): How to create and use Knowledge Base entries to teach ContextQA's AI agent how to handle application-specific UI patterns, consent banners, popups, and test-specific instructions.
- [Tutorial: Configure a Knowledge Base](https://learning.contextqa.com/ai-features/knowledge-base-tutorial.md): A step-by-step tutorial for creating Knowledge Base entries that teach ContextQA's AI how to handle cookie banners, chat widgets, and other application-specific patterns — then verifying the AI follow
- [Custom Agents](https://learning.contextqa.com/ai-features/custom-agents.md): How to create custom AI agent personas in ContextQA to calibrate test execution behavior for specialized application domains such as Salesforce, accessibility testing, or localization.
- [AI Context Graph](https://learning.contextqa.com/ai-features/context-graph.md): ContextQA AI context graph — how ContextQA builds and applies accumulated application knowledge through UI Elements, Knowledge Bases, Custom Agents, and AI Data Analyst.
- [Interactive Demo](https://learning.contextqa.com/ai-features/demo.md): See how ContextQA generates complete, executable test cases from a URL and plain-English description in under 30 seconds — no code required.


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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, and the optional `goal` query parameter:

```
GET https://learning.contextqa.com/ai-features.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.