I built a team of AI Agents with Nano Banana (it’s I-N-S-A-N-E)

About this video

• Video Title: I built a team of AI Agents with Nano Banana (it’s I-N-S-A-N-E)
• Channel: David Ondrej
• Speakers: David Ondrej
• Duration: 00:30:31

Overview

This video demonstrates how to build and utilize AI agents powered by Google's Nano Banana model, a version of Gemini 2.5 Flash. The presenter, David Ondrej, guides viewers through setting up a development environment, using Nano Banana for image generation and editing with remarkable consistency, and creating a multi-agent system with a user-friendly interface. The tutorial covers practical steps, troubleshooting common errors, and highlights the potential for Nano Banana in various applications and startups.

Key takeaways

• Nano Banana's Capabilities: Nano Banana (Google Gemini 2.5 Flash) excels at image editing with high consistency, a feature not seen in previous AI models. It can also generate images from text prompts.
• Multi-Agent Systems: The real opportunity lies in building multi-agent systems where each agent is powered by Nano Banana, enabling more complex workflows and applications.
• Development Setup: The video shows how to set up a development environment using Cloud Code, manage dependencies with Conda, and configure API keys for services like OpenRouter.
• Iterative Development and Debugging: The tutorial emphasizes a step-by-step approach to building AI projects, including encountering and resolving errors, using AI for debugging, and verifying each stage's functionality.
• Practical Use Cases: Demonstrated applications include generating clothing designs, social media thumbnails, e-commerce product shots, logos, banners, and photo restoration.
• Accessibility: The presenter highlights how to use Nano Banana for free via Vectal.ai and discusses the cost-effectiveness of paid API usage.