> For the complete documentation index, see [llms.txt](https://docs.lilypad.tech/lilypad/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/agents.md).

# Agents

AI agents on Lilypad

AI agents can autonomously process information, make decisions and interact with users or systems. This section explores different use cases for AI agents on Lilypad, providing examples and step-by-step guides on how to build and run them using the network.

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td>AI Oncologist Agent</td><td>A multi-agent system that searches, extracts, and analyzes oncology research papers for key insights.</td><td><a href="/lilypad/use-cases-agents-and-projects/agents/ai-oncologist-agent.md">AI Oncologist Agent</a></td><td><a href="https://58337262-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FtadiyoOe4nTUoSulEVOV%2Fuploads%2FomKXbKaBG6Asb0kRyngV%2Foutput.png?alt=media&amp;token=f0cf6f79-3806-49f3-8cfe-1614009f4780">output.png</a></td></tr><tr><td>RAG Support Agent</td><td>Retrieves context and generates AI-driven support responses using the Lilypad Network.</td><td><a href="/lilypad/use-cases-agents-and-projects/agents/rag-support-agent.md">RAG Support Agent</a></td><td><a href="https://58337262-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FtadiyoOe4nTUoSulEVOV%2Fuploads%2FMpikjTLfp3jMYBy9dRqu%2Frag.png?alt=media&amp;token=7a21a9e3-f032-46c2-9cd8-de22b5233a48">rag.png</a></td></tr><tr><td>HubSpot-LinkedIn Agent</td><td>An agent-based system that monitors HubSpot for recently modified contacts, fetches enriched data from LinkedIn, and updates HubSpot automatically.</td><td><a href="https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/agents/hubspot-linkedin-agent">https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/agents/hubspot-linkedin-agent</a></td><td><a href="https://58337262-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FtadiyoOe4nTUoSulEVOV%2Fuploads%2FisfqJL2Pusl9i0imIKQv%2Foutput.png?alt=media&amp;token=8a0cc598-1beb-491b-9408-2edd88b65ef3">output.png</a></td></tr></tbody></table>


---

# 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://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/agents.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.