Table of Contents
What happens when you give a team of developers 3 hours to build an AI agent from scratch? Chaos, creativity, and surprisingly functional software.
The Challenge#
The AI Agent Build-Off challenged us to build something useful with Google Cloud’s AI tools, including:
- Gemini - For natural language understanding and generation
- Agent Development Kit (ADK) - For orchestrating multi-agent workflows
- Imagen - For image generation
- Veo - For video generation
- Vertex AI - For the underlying infrastructure
What We Built#
We created a Fashion AI Agent that helps users:
- Record their closet - Take photos of clothing items and have the AI catalog them
- Virtual try-ons - See how different combinations might look
- Address unworn clothes - Get suggestions for items that haven’t been worn recently
The agent used voice and vision capabilities to make the interaction natural and intuitive.
Lessons Learned#
Building under time pressure forces you to make fast decisions. Some things that worked well:
- Start with the MVP - We focused on core functionality first
- Parallel agent patterns - Having multiple agents work simultaneously sped things up
- Iterative refinement - Ship early, improve continuously
Watch the full session:
What’s Next?#
This hackathon reinforced my belief that AI agents are the future of software interaction. The ability to combine different AI capabilities (vision, language, generation) into a cohesive experience opens up possibilities we’re only beginning to explore.
If you’re interested in building AI agents, check out Google Cloud’s Agent Development Kit to get started.
