Multi-Agent

Most AI agent tutorials end at “hello world.” You build a single agent with one or two tools, it answers a few questions, and that is it. The gap between that tutorial and a production system with multiple agents, authentication, observability, and a real frontend is enormous.

An average e-commerce support team fields thousands of customer queries every day. “Where is my order?” “Are these headphones any good?” “I was charged twice.” “Is this jacket in stock in medium?” Each question touches a different system – order management, product catalogs, payment processing, inventory databases. A single human agent needs access to half a dozen internal tools and the training to use them all.

You have five specialist agents, each with domain expertise. One handles product search and recommendations. Another manages orders and returns. A third deals with pricing, promotions, and loyalty discounts. The fourth analyzes product reviews and sentiment. The fifth tracks inventory and shipping.

Overview # I just returned from Microsoft Ignite in San Francisco, and if you’re building AI agents for enterprise, this was the event you needed to attend.