# 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: 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:

```
GET https://docs.lilypad.tech/lilypad/use-cases-agents-and-projects.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
