# Logic: The Decision-Making Layer

## **Purpose:**

Logic is where Helio’s AI capabilities shine, delivering actionable insights, automation, and custom workflows tailored to user needs.

### **Technologies Used:**

* **AI Frameworks**:
  * **TensorFlow and PyTorch**: Industry-leading libraries for building and training AI models, including neural networks for blockchain analytics, prediction models, and sentiment analysis.
  * **Hugging Face Transformers**: For NLP tasks like interpreting smart contract logic or generating human-like responses.
* **Graph Databases**:
  * **Neo4j**: Used for analyzing relationships between on-chain entities, such as wallet connections, DeFi protocols, and transaction histories.
  * **Solana Indexers**: Pre-built Solana indexing services like Serum or Helius provide raw blockchain data for analysis.
* **TypeScript and Node.js**:
  * TypeScript is used for developing Helio’s user-facing tools (CLI, SDKs, dashboards) due to its compatibility with web technologies and developer-friendly syntax.
* **Reinforcement Learning Algorithms**:
  * For training Helio to adapt and optimize user-specific workflows, such as dynamic trading strategies or DAO voting recommendations.

#### **Why It’s Ideal for Solana:**

By combining machine learning frameworks with Solana-specific tools like indexers and RPC nodes, Helio’s Logic layer can provide lightning-fast, data-driven decision-making tailored to Web3 use cases.
