> 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/readme.md).

# ContextQA Documentation

Choose enterprise application, packaged application, or AI agent testing. Follow quickstarts, product walkthroughs, examples, and reference guides.

> **Documentation owner:** [Deep Barot](https://contextqa.com/academy/) · **Last updated:** November 12, 2026

## Quick answer

ContextQA documentation is organized into three testing areas: enterprise applications, packaged applications, and AI agents. Choose the system you need to test, follow its learning path, and use the walkthrough library to connect videos and demos to a practical exercise. Shared integrations, administration, and reference material remain available across the paths.

## Key takeaways

* Choose your testing area before selecting a tutorial or integration.
* Follow the sequence from setup to a first result, reusable coverage, and release evidence.
* Use separate AI agent and voice guides for evaluating conversational behavior and business outcomes.

## Choose what you want to test

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Enterprise applications</strong></td><td>Web, mobile, and API testing. Create a first test, build reusable suites, and review release evidence.</td><td><a href="/enterprise-application-testing/enterprise-testing.md">Enterprise Application Learning Path</a></td></tr><tr><td><strong>Packaged applications</strong></td><td>Salesforce, Oracle, SAP, and Workday paths organized around business processes and vendor releases.</td><td><a href="/packaged-application-testing/packaged-app-testing.md">Packaged Application Learning Path</a></td></tr><tr><td><strong>AI agents</strong></td><td>Text and voice agent evaluation. Design scenarios, configure judges, and verify business outcomes.</td><td><a href="/ai-agent-testing/agent-evaluation.md">AI Agent Testing with ContextQA</a></td></tr></tbody></table>

| Testing area            | Start here                                                                                  | Continue with                                                                                                                                                                                                                  |
| ----------------------- | ------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Enterprise applications | [Enterprise learning path](/enterprise-application-testing/enterprise-testing.md)           | [Web](/enterprise-application-testing/web-testing.md), [mobile](/enterprise-application-testing/mobile-testing.md), [API](/enterprise-application-testing/api-testing.md)                                                      |
| Packaged applications   | [Packaged application learning path](/packaged-application-testing/packaged-app-testing.md) | [Salesforce](/packaged-application-testing/salesforce-testing.md), [Oracle](/packaged-application-testing/oracle.md), [SAP](/packaged-application-testing/sap-testing.md), [Workday](/packaged-application-testing/workday.md) |
| AI agents               | [AI agent evaluation](/ai-agent-testing/agent-evaluation.md)                                | [First evaluation](/ai-agent-testing/agent-evaluation/quickstart.md), [voice AI testing](/ai-agent-testing/voice-ai-testing.md)                                                                                                |

## Learn by doing

Start with [product walkthroughs, demos, and examples](/walkthroughs-demos-and-examples/learn.md). Each module pairs a demonstration with written instructions and an outcome to verify. You can also browse the full [video library](/start-here/video-walkthroughs.md) or [interactive demos](/start-here/interactive-demo.md).

New to ContextQA? Read the [introduction](/start-here/introduction.md), complete [workspace onboarding](/start-here/self-serve-onboarding.md), and use [core concepts](/start-here/core-concepts.md) when a term is unfamiliar.

## Find a guide by task

| I need to…                                               | Open                                                                                                                       |
| -------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------- |
| Create a first application test                          | [Application quickstart](/start-here/quickstart.md)                                                                        |
| Turn requirements into reviewed test coverage            | [Requirements-to-tests tutorial](/enterprise-application-testing/ai-features/generate-tests-from-requirements-tutorial.md) |
| Test a Salesforce or SAP business process                | [Packaged application testing](/packaged-application-testing/packaged-app-testing.md)                                      |
| Evaluate a chatbot or tool-using agent                   | [First agent evaluation](/ai-agent-testing/agent-evaluation/quickstart.md)                                                 |
| Test silence, interruptions, and voice correctness       | [Voice testing quickstart](/ai-agent-testing/voice-ai-testing/quickstart.md)                                               |
| Check whether an agent actually changed a backend record | [Verify tool actions](/ai-agent-testing/agent-evaluation/verify-tool-actions.md)                                           |
| Use a coding assistant to test application code          | [Testing with AI coding agents](/integrations-and-developer-tools/ai-agent-testing.md)                                     |
| Review a change before release                           | [Release readiness](/enterprise-application-testing/ship/release-readiness.md)                                             |
| Connect CI/CD or another tool                            | [Integrations](/integrations-and-developer-tools/integrations.md)                                                          |
| Find guidance for my role                                | [Browse by role](/plan-evaluate-and-migrate/by-role.md)                                                                    |

## Shared platform resources

Use [Ship](/enterprise-application-testing/ship.md) for autonomous quality engineering workflows, [application-testing MCP](/integrations-and-developer-tools/overview.md) for coding-assistant access to application tests, and [agent-evaluation MCP](/ai-agent-testing/agent-evaluation/mcp-workflow.md) for evaluation projects and runs. These are distinct workflows; choose the endpoint and concepts for your task.

Find access and workspace settings in [administration](/administration-and-reference/administration.md), explain terminology with the [glossary](/administration-and-reference/feature-guides/glossary.md), or compare evaluation approaches in [planning and decision guides](/plan-evaluate-and-migrate/decision-guides.md). The [complete product guide](/start-here/complete-product-guide.md) remains available for a broader reference tour.

## Evaluate your workflow

[Book a Demo](https://contextqa.com/book-a-demo/?utm_source=learning.contextqa.com\&utm_medium=referral\&utm_campaign=docs_demand_gen\&utm_content=home_product_paths) with a specific application, agent, or business process and the evidence you need to establish success.


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://learning.contextqa.com/readme.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.