# 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.
- [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)
- [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.
- [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: 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/ai-features.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.