# AI Prompts

Helio’s AI is designed to respond to customizable prompts, enabling users to explore blockchain data in unique and insightful ways. Whether analyzing wallet networks, uncovering hidden patterns, or engaging in creative interpretations, prompts empower users to interact with complex graphs tailored to their needs. This section provides a curated list of recommended prompts to maximize the potential of Helio’s advanced tools.

#### Analysis Oriented Prompts

1. Identify wallets with the highest trading activity.
2. Locate tokens with a 90% confidence level of increasing.
3. Find tokens with consistent growth patterns.
4. Detect wallets with unusual transaction spikes.
5. Highlight wallets with large incoming token flows.
6. Determine the health of this network based on wallet interactions.
7. Identify potential pump-and-dump schemes.
8. Highlight wallets that primarily interact with centralized exchanges.
9. Spot token pairs frequently traded together.
10. Find clusters of wallets with synchronized trading behavior.

#### Fun Oriented Prompts

1. Explain this graph like I’m 5.
2. Pretend to be a detective solving a mystery in this graph.
3. Describe this network as if it were a medieval kingdom.
4. Roleplay as a pirate charting treasure in this wallet network.
5. Pretend to be from Scotland while analyzing the graph.
6. Narrate this graph as if it were a nature documentary.
7. Give me a horoscope reading based on this network.
8. Analyze this graph as if you were a stand-up comedian.
9. Explain this network like it’s a movie plot.
10. Pretend this graph is a map of a fantasy world


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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://helio.gitbook.io/helio/other/ai-prompts.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.
