AI agents have become the hottest trend in crypto lately. Projects like Virtuals, ai16z, and AIXBT showcase what's possible—single autonomous agents handling multiple tasks with minimal oversight. Sounds impressive until you hit real-world complexity.

Here's the catch: standalone agents often get tangled in noise when scenarios turn convoluted. They lack the specialized firepower to break through. This is where the architecture shift matters. A multi-agent framework takes a different approach—each agent owns a specific domain. One focuses on fundamentals, another dissects technical signals, a third reads sentiment, while a fourth monitors on-chain activity. Instead of one agent drowning in mixed signals, you get specialized units feeding insights into a coherent system.

The difference isn't subtle. Coordinated specialists beat a generalist struggling alone. That's the real frontier for AI agents in crypto.