A2A Protocol: System Design for Multi-Agent Architecture
Why do most multi-agent AI systems fail in production? Learn how the A2A (Agent-to-Agent) Protocol works with the help of a complete architecture walkthrough.
3 stories
Why do most multi-agent AI systems fail in production? Learn how the A2A (Agent-to-Agent) Protocol works with the help of a complete architecture walkthrough.
Model Context Protocol (MCP) promises to simplify how AI Agents interact with tools. But what actually changes when you use it in a real system? In this video, I take an existing multi-agent security application built with Red, Blue, and Judge agents, and refactor it using FastMCP in Python.
Most people think LLMs are just for chatting, but tool calling turns them into agents that can actually do work. Function calling is the "bridge" that allows AI agents in Generative AI to move beyond simple chat and actually perform actions in the real world.
Showing 3 of 3 stories
You're all caught up.
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news from The One AI Architect
Join 15,000+ AI enthusiasts