The AI Agent Challenge results: who built the best fashion AI using ADK and Gemini?

Agent builders,

We wanted to see what developers could really build with the new Agent Development Kit and Gemini under real-world constraints. So, we ran an experiment: the first Google Cloud AI Agent Bake-Off.

If you want to see how this tech holds up when the pressure is on, this is for you.

The challenge :cook:

We gave four developer teams a straightforward but challenging brief:

  • The tech stack:

The Agent Development Kit (ADK) and Gemini models.

  • The goal:

Build a functional, creative agent to solve a common retail problem.

  • The constraint: A classic hackathon-style deadline.

Architectural patterns & code in action :hammer_and_wrench:

The competition gave us a front row to watch and learn how developers implement real solutions with AI Agents. We saw practical examples of:

  • Multi-agent systems : How they designed agents that delegate tasks and collaborate to solve a larger problem.
  • Bi-directional streaming : A look at an implementation for creating low-latency, truly conversational UIs.
  • Multimodality : Using models for dynamic image and video generation within an application flow.
  • Adaptive recommendations : A look at how they built recommendation engines that respond and adapt in real-time.
  • Voice API integration: A practical approach to wiring up natural language voice commands.

Your next steps :rocket:

  1. Watch the AI Agent Bake-Off: See the full competition and the final solutions in the video above.
  2. :bar_chart: Take the Poll: In your opinion who do you think should be declared the winner?
  • Annie/Suriya
  • Dylan/Luis
  • Ivan/Jigyasa
  • Laxmi/Sam
0 voters
  1. Discuss your takeaways: What architectural choice surprised you? What would you have done differently? Drop your thoughts in the comments below.

-Frank

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