An AI-Powered System for Dynamic Content Creation, Storage, and Retrieval

This paper presents the architecture, design rationale, and empirical evaluation of an AI-Powered System for Dynamic Content Creation, Storage, and Retrieval—a centralized, web-based platform engineered to streamline the complete lifecycle of digital content. The system orchestrates multiple state of-the-art Large Language Models (LLMs), including NVIDIA NIM (Llama 3.1), Groq (Llama 3.1), Cerebras CS-3, and Cohere, within a unified multi-model orchestration layer built on Next.js, TypeScript, an