> For the complete documentation index, see [llms.txt](https://docs-90.gitbook.io/agent-sage/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-90.gitbook.io/agent-sage/product/editor.md).

# Sage AI Agents

**SAGE AI Agents** are AI assistants designed to streamline the data-driven decision-making process for cryptocurrency trading. Integrating data aggregation and machine learning (ML) models enables users to stay ahead of market trends and execute informed trading strategies in real-time.

#### Core Components

**Data Aggregation Module:**

* Utilizes a hybrid on-chain data aggregator to pull relevant on-chain and exchange data.
* Employs a combination of rule-based filters, automated data processors, and ML-based data analysis to refine large volumes of data.
* Manages collected data efficiently through data management systems, ensuring the data is processed and available for insights generation.

**Prompting Interface & Context Aggregator:**

* The prompting interface connects the SAGE AI Agents to a wide range of users across various platforms such as Telegram, X (formerly Twitter).
* The context aggregator pulls data insights from models like OpenAI and Hugging Face, combining it with self-training models to continuously improve the relevance of the insights provided by the agents.

**AI Models:**

* **Market Trending Model**: Identifies hot topics and trends from on-chain data and market signals.
* **Self-Training Model**: Continuously refines its predictions and recommendations based on feedback loops and new data inputs.

**SAGE AI Agents:**

* **Chat Agent**: Provides real-time trading insights through private chat platforms.
* **Telegram Agent**: Engages users on Telegram by delivering curated signals and sentiment analysis.
* **X Agent**: Monitors market trends on social platforms and shares insights accordingly.

**Application Interface:**\
The agents are accessible through multiple interfaces, including:

* **Social App Integration**: For connecting with broader user bases.
* **Private Chat**: For personalized, secure interactions.
* **Profit Maker Module**: A specialized tool to help users optimize trading strategies and maximize profits.

#### User Interaction and Prompt Engineering

* Users and specialists can interact with SAGE through customized prompt engineering, allowing the AI to adapt based on user-specific characteristics and needs.
* The AI delivers real-time sentiment analysis, providing actionable insights that help users stay ahead of the market curve.

#### Key Benefits

* **Time-Sensitive Signals**: SAGE AI Agents provide real-time, actionable trading signals based on the latest market trends.
* **AI-Powered Insights**: By leveraging market and self-training models, SAGE ensures users receive refined, intelligent recommendations.
* **Cross-Platform Accessibility**: The agents are integrated across multiple platforms for seamless user engagement, including social media and private chat services.
* **User-Centric Design**: SAGE focuses on simplifying the trading experience by providing transparent and easy-to-understand insights.