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

# Key Concepts

### Agents

Wayfound supports specialized agents powered by the latest large language models. Agents are designed to accomplish specific, clearly defined tasks. They can interact with users through text, images, and video formats. They can communicate with other agents for help with answering specific questions, and they can take action or access information in third-party systems. Agents are end-to-end, meaning that they can both interact with users and perform workflows. You can connect existing agents built on platforms like LangChain or CrewAI.

### Agent Networks

The best agents are specialized to perform a specific task. Agent networks leverage multiple specialized agents that communicate and collaborate to handle complex tasks. Each agent focuses on its specific expertise while working within the broader network.

### AI Supervisor

The AI Supervisor provides centralized oversight of your agent networks, offering agent performance analysis, agent relationship mapping, and network-wide behavior controls. Learn more in the Supervisor [Overview](/supervisor/overview.md) page.

### Performance

The AI Supervisor continuously evaluates agent performance through user satisfaction metrics, knowledge gap analysis, guideline compliance monitoring, and tool utilization success rates. Learn more in the [Performance](/supervisor/performance.md) page.

### Guidelines&#x20;

Guidelines inform how the AI Manager evaluates agent performance. Wayfound offers two levels of guidelines: [Guidelines](/agents/guidelines.md) for individual agents and [Global Guidelines](/supervisor/global-guidelines.md) guidelines that apply across all agents in the organization.

### Sessions

Sessions provide monitoring capabilities through [Recordings](/sessions/recordings.md) of agent-user interactions.

###


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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
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Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

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```

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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.
