> 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.md).

# Use Cases, Agents & Projects

- [Ecosystem Projects](https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/project-showcase.md): Projects built with Lilypad
- [Waterlily.ai](https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/project-showcase/waterlily.ai.md): Waterlily.ai - An Ethical Generative AI-Art DApp
- [Extra Labs x Lilypad](https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/project-showcase/extra-labs-x-lilypad.md): 3D Mapping on Lilypad
- [DefiKicks (HackFS Winner 2023)](https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/project-showcase/defikicks.md): DefiKicks is a decentralized, community-governed Data DAO on Filecoin that democratizes DeFi data aggregation and TVL calculations
- [Agents](https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/agents.md): AI agents on Lilypad
- [AI Oncologist Agent](https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/agents/ai-oncologist-agent.md): A research agent template implemented as an AI oncologist. Read papers, isolate important information, and produce actionable reports.
- [RAG Support Agent](https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/agents/rag-support-agent.md): A retrieval-augmented generation (RAG) agent that retrieves relevant context and generates AI-powered responses using the Lilypad Network.
- [HubSpot-LinkedIn Agent](https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects/agents/hubspot-linkedin-agent.md): An agent-based system that monitors HubSpot for recently modified contacts, fetches enriched data from LinkedIn, and updates HubSpot automatically.


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# Agent Instructions
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## 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.lilypad.tech/lilypad/use-cases-agents-and-projects.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.
