Designing the perfect neural network architecture is like searching for a needle in a haystack. Traditional methods of Neural Architecture Search (NAS) often box themselves in, limiting the potential for truly groundbreaking discoveries. Imagine being confined to a single room when the entire house holds exciting possibilities. That's what it's like for AI when searching for optimal architectures. Now, a revolutionary approach called NADER is changing the game. Instead of a solitary search, NADER introduces a team of specialized AI agents that collaborate like a research and development team. This multi-agent approach, driven by large language models (LLMs), allows for a more dynamic and efficient exploration of the vast architectural space, breaking free from the constraints of traditional NAS. NADER starts with a base network, like a solid foundation, and then iteratively improves it through a collaborative process. The 'research team' proposes modifications based on the latest academic literature and past experiences, while the 'development team' implements and evaluates these changes, providing feedback in a continuous loop. One of NADER's key innovations is the 'Reflector,' an agent that learns from both immediate feedback and long-term experience. This reflection process helps prevent repeated mistakes and guides the search towards more promising architectural modifications. Additionally, NADER uses a graph-based representation of neural networks, allowing the AI to focus on the high-level structural design without getting bogged down in the complexities of code. Experiments have shown that NADER can discover architectures that outperform state-of-the-art methods, opening doors to entirely new possibilities in AI design. This collaborative approach, reminiscent of how human teams innovate, could be the key to unlocking a new era of more powerful and efficient AI models. While the potential of NADER is immense, challenges remain, like optimizing communication between agents and scaling the framework for even more complex tasks. But NADER’s introduction represents a big step forward in AI design, shifting from solitary exploration to collaborative innovation. As this exciting field develops, we can anticipate an era where AI isn't just built – it's designed collaboratively.