Multi-Agent System
An architecture where multiple specialized AI agents, research, comparison, purchasing, work together rather than one general-purpose model handling an entire task alone.
What it means
Instead of one model doing everything, multi-agent systems split complex tasks across specialized agents that each handle a narrower job well: one agent researches options, another compares them against stated criteria, another executes the purchase. This is increasingly how sophisticated shopping assistants and agentic commerce platforms are built, which means a store's data may be evaluated by a comparison-focused agent with different criteria than a research-focused one.
Why it matters for Shopify
Shopify merchants optimizing for agentic commerce should consider that different agents within a multi-agent system may evaluate their store against different criteria, comparison agents weighing specs differently than research agents weighing relevance.