# Multi-AI Agents

<details>

<summary>Prism AI's core architecture comprises multiple AI agents that work independently yet collaboratively. Each takes on distinct roles, ensuring comprehensive data, deep analysis, and precise decision-making</summary>

</details>

<figure><img src="https://1795708439-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FzA8aUlPRLFWHjSXB8z14%2Fuploads%2FphG7Rm65DOtVfat44Jvg%2Fimage.png?alt=media&#x26;token=eed6e87e-bb36-4160-911a-a70c2e91c81f" alt=""><figcaption></figcaption></figure>

## Catcher Agent

The Catcher Agent is tasked with real-time monitoring of blockchain networks and community dynamics, capturing the latest market hotspots.

* **Functions**:
  * Extracting and interpreting transaction data on blockchains.
  * Real-time monitoring of community activities (e.g., Twitter trends, Reddit posts).
* **Technical Implementation**: Achieves millisecond-level data capture through efficient crawlers and API integrations.

## Analyst Agent

The Analyst Agent is the analytical core of the system, converting raw data into actionable insights.

* **Functions**:
  * Sentiment Analysis: Analyzing the emotional inclinations within community discussions using NLP techniques.
  * Trend Prediction: Combining historical data with current dynamics to predict market directions.
* **Technical Implementation**:
  * Emotional features of text data are mapped to predefined categories (e.g., positive, negative, neutral) using deep learning models.
  * Identifies potential investment opportunities using machine learning algorithms.

## Strategist Agent

The Strategist Agent is the user’s intelligent investment assistant, providing trading suggestions and assisting in execution.

* **Functions**:
  * Strategy Generation: Offering personalized investment and stop-loss recommendations.
  * Automated Trading: Connecting to trading platforms via APIs to execute strategies automatically.
* **Technical Implementation**:
  * Optimizes decision-making models through reinforcement learning.
  * Interfaces with decentralized exchanges (DEXs) via smart contracts.


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# Agent Instructions: Querying This Documentation

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

```
GET https://prism-ai-1.gitbook.io/prismai/why-prism-ai/publish-your-docs.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.