check point support MMA

MMA_Support/Overview.md

@@ -0,0 +1,27 @@
+# 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.