Most AI demos today feature a single chatbot answering questions. But real-world problems are rarely solved by one "smart" assistant.

In this virtual tech talk, Sijohn Mathew — Architect and Co-Founder at Aclarity AB, and 8x Google Cloud Certified — will explore how multiple AI agents can work together like a real team, each with a clear role, to solve complex tasks more reliably. Using a practical AI-powered course creation system as the example, you'll see how agents collaborate, review each other's work, fix mistakes, and produce better results than any single model acting alone.

Sijohn will walk through building a distributed multi-agent system using Google's Agent Development Kit (ADK) and the Agent-to-Agent (A2A) protocol, featuring specialized agents for research, quality evaluation, content generation, and orchestration. You'll also see how LoopAgent enables self-correction through feedback loops, how SequentialAgent manages higher-level workflows, and how to deploy the whole system to Google Cloud Run.

Whether you're building AI tools today or exploring what's next, this session will give you a practical blueprint for production-ready multi-agent architectures.