Multi-Agent Systems: Why Swarms are Better than Silos

The future of AI isn't one giant model; it's a swarm of specialized ones. This is the core philosophy behind Agentic AI Orchestration.

The Silo Problem

When you use a single LLM for everything, you hit a "Complexity Ceiling." The model becomes confused, hallucinations increase, and latency spikes.

The Swarm Solution

By breaking tasks into a Multi-Agent System (MAS), you gain:

1. Parallelism: Multiple agents working at once.
2. Specialization: Using a coding agent for code and a research agent for docs.
3. Resilience: If one agent fails, the orchestrator routes around it.