# 4-Tier Hierarchical Multi-Model Architecture (MMA) - Overview

The 4-Tier Hierarchical Multi-Model Architecture is a conceptual framework designed to manage complexity in AI systems by decomposing responsibilities into distinct, specialized layers. This modular approach enhances scalability, maintainability, and overall system performance.

## Architectural Tiers

1.  **Tier 1: User-Facing Model (The Orchestrator/Router)**
    *   Direct user interface and intent interpretation.
    *   Routes requests to appropriate specialized models or tools.

2.  **Tier 2: Specialized Models (The Experts/Tools)**
    *   Domain-specific models or tools (e.g., code generation, data analysis).
    *   Performs the "heavy lifting" for specific tasks.

3.  **Tier 3: Data & Knowledge Base (The Information Layer)**
    *   A repository of structured and unstructured information.
    *   Provides context and facts to specialized models.

4.  **Tier 4: Monitoring & Feedback (The Governance Layer)**
    *   Overarching layer for evaluation, error analysis, and continuous improvement.
    *   Closes the loop between user experience and model refinement.

## Core Goals
*   **Modularity:** Decouple different functions to allow for independent development.
*   **Efficiency:** Use smaller, specialized models for specific tasks instead of one monolithic model.
*   **Contextual Accuracy:** Ensure specialized tools have access to relevant data.
*   **Continuous Improvement:** Establish a systematic way to monitor performance and iterate.