Building a Multi-Agent System with Google AI Studio

#agents #buildmultiagents #gemini #adk

Education Track: Build Multi-Agent Systems with ADK

This post is my submission for DEV Education Track: Build Multi-Agent Systems with ADK.

What I Built

I created a Multi-Agent Email Drafting System that helps users generate polished emails from just a topic idea. The system breaks the task into specialized roles: a Topic Agent suggests what to write about, a Writer Agent creates a first draft, and an Editor Agent polishes tone and grammar. The web interface allows users to input their topic, interact with the agents, and get a final ready-to-send email.

Cloud Run Embed

You can try the live app here:

The system is deployed on Google Cloud Run, with each agent running as a separate microservice. The frontend is also deployed on Cloud Run, allowing seamless interaction with all agents.

Your Agents

Topic Agent: Analyzes user input to generate a concise email topic and key points.
Writer Agent: Takes the topic and generates a full draft email in a natural, professional tone.
Editor Agent: Reviews the draft, improves grammar, clarity, and style, ensuring the final output is polished.

Each agent communicates via HTTP requests to produce modular, maintainable, and testable components.

Key Learnings

Designing specialized agents requires careful planning of responsibilities and input/output formats.
Deploying each agent as a microservice on Cloud Run made scaling and debugging easier.
Handling multi-agent coordination and communication taught me the importance of structured workflows and error handling.
The most surprising part was how much better outputs became when roles were clearly separated instead of relying on a single giant prompt.