> For the complete documentation index, see [llms.txt](https://docs.interactive.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.interactive.ai/interactiveai-platform.md).

# InteractiveAI Platform

InteractiveAI is the **operating platform** for building, deploying, and managing production AI systems. The platform provides end-to-end infrastructure for the **complete agentic AI lifecycle**: from tracing LLM interactions and managing prompts to evaluating output quality and monitoring performance across development and production environments.

The platform organizes around the following main functional areas that cover everything from initial development through production operations:

<table data-view="cards"><thead><tr><th align="center"></th><th align="center"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td align="center"><strong>Dashboard</strong></td><td align="center">Real-time snapshot of your project's health, performance metrics, and activity trends</td><td><a href="/spaces/1ICwJbq7EJdn5kBgXnQu/pages/KLWnh3z324VgAkcLXqIe">/spaces/1ICwJbq7EJdn5kBgXnQu/pages/KLWnh3z324VgAkcLXqIe</a></td></tr><tr><td align="center"><strong>Build</strong></td><td align="center">Define and test your agent's behaviour</td><td><a href="/spaces/1ICwJbq7EJdn5kBgXnQu/pages/TtQBP1EGCj00Fcs1zFL5">/spaces/1ICwJbq7EJdn5kBgXnQu/pages/TtQBP1EGCj00Fcs1zFL5</a></td></tr><tr><td align="center"><strong>Connect</strong></td><td align="center">Manage external integrations and sensitive credentials</td><td><a href="/spaces/1ICwJbq7EJdn5kBgXnQu/pages/IxdN8Dr30mAdze18iymO">/spaces/1ICwJbq7EJdn5kBgXnQu/pages/IxdN8Dr30mAdze18iymO</a></td></tr><tr><td align="center"><strong>Deploy</strong></td><td align="center">Managed infrastructure for deploying and scaling your AI services to production</td><td><a href="/spaces/1ICwJbq7EJdn5kBgXnQu/pages/Bhp5LJNiv9sk4oWzLF4S">/spaces/1ICwJbq7EJdn5kBgXnQu/pages/Bhp5LJNiv9sk4oWzLF4S</a></td></tr><tr><td align="center"><strong>Govern</strong></td><td align="center">Complete visibility into what your AI system is doing and how it's performing</td><td><a href="/spaces/1ICwJbq7EJdn5kBgXnQu/pages/04iQPXUzMbu6GvBbZboy">/spaces/1ICwJbq7EJdn5kBgXnQu/pages/04iQPXUzMbu6GvBbZboy</a></td></tr><tr><td align="center"><strong>Improve</strong></td><td align="center">Tools for systematically evaluating and enhancing your AI system's quality</td><td><a href="/spaces/1ICwJbq7EJdn5kBgXnQu/pages/wPARIRaiFSsOdp4ikkVv">/spaces/1ICwJbq7EJdn5kBgXnQu/pages/wPARIRaiFSsOdp4ikkVv</a></td></tr><tr><td align="center"><strong>Report</strong></td><td align="center">Insights into usage patterns, user behavior, and resource consumption</td><td><a href="/spaces/1ICwJbq7EJdn5kBgXnQu/pages/DlzqMwpERRjvTP1U6O7O">/spaces/1ICwJbq7EJdn5kBgXnQu/pages/DlzqMwpERRjvTP1U6O7O</a></td></tr><tr><td align="center"><strong>Copilot</strong></td><td align="center">Interact with the agent to perform any of your desired changes in the platform</td><td><a href="/spaces/1ICwJbq7EJdn5kBgXnQu/pages/ff84a15d1f827537fbb332db60225e2ed16ba891">/spaces/1ICwJbq7EJdn5kBgXnQu/pages/ff84a15d1f827537fbb332db60225e2ed16ba891</a></td></tr></tbody></table>

For an overview of the fundamentals of the InteractiveAI Platform, refer to the [Platform Fundamentals](/platform-fundamentals.md) section.

***

We're always looking to improve. If you have feedback on this documentation or suggestions for what we should cover, write to us at <support@interactive.ai>


---

# 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://docs.interactive.ai/interactiveai-platform.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.
