> 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.** You describe what an agent should do, deploy it as a running service, then see what it actually did and whether it was any good, without leaving the platform. These sections follow the platform's own structure.


Home	Live view of activity, latency, cost, and quality across the agents you select.	Home
Agents	Build, configure, and deploy the agents your project runs.	Broken link
Context	The policies, routines, macros, prompts, variables and knowledge that shape how agents behave.	Broken link
Connectors	Model access through the Router, and the MCP servers that give agents their tools.	Broken link
Infrastructure	The services, databases, and secrets your agents run on.	Broken link
Governance	What your agents did, how they performed, and what it cost.	Broken link
Improvement	Scores, evaluators, datasets, and human review for measuring quality.	Broken link
Copilot	Operate the platform from your AI assistant, with every command ran shown and every write approved.	Broken link
Settings	Project configuration, members, score configs, custom models, and exports.

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 --- # 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 following URL with the `ask` and `goal` query parameters: ``` GET https://docs.interactive.ai/interactiveai-platform.md?ask=&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 `build a script that syncs our docs to a CMS` 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.