Welcome, Agent.
In this book we will wield Multimodal Intelligence with Gemini 3 to process video, audio, and complex PDFs. We will enter the Creative Studio to generate images, video, and audio programmatically. But the true power lies in Agency. We will equip Gemini with "hands and eyes" to browse the web, execute Python code, and explore the frontier of Computer Use—teaching AI to control your mouse and keyboard.
This is not a book of theory; it is an engineering manual. You will build a "Jarvis" desktop agent and an "Autonomous Research Swarm." The era of the multimodal agent has begun.
What You Will Learn
This volume covers system architecture, tool integration, and production deployment using the Gemini ecosystem.
- Advanced Reasoning: Configure dynamic thinking modes and implement strict output parsing using Pydantic.
- Multimodal Pipelines: Architect systems that ingest native audio, video, and PDFs without external OCR.
- Generative Media: Control Nano Banana, Veo, and Lyria for high-fidelity asset generation.
- Agentic Architecture: Build agents capable of Function Calling, Code Execution, and Computer Use.
- Data Grounding & RAG: Implement File Search API and leverage Google Search for verifiable data.
- Production Engineering: Optimize with Context Caching and WebSockets for low-latency voice.
- Gemini Robotics-ER: Vision-Language-Action (VLA) model
Capstone Projects
- Desktop Automation Agent: A voice-controlled system to navigate browsers and desktop interfaces.
- Autonomous Research Swarm: Multi-agent architecture to synthesize info from web, docs, and code.
Mission Requirements:
Designed for Intermediate Python Developers.
?? Note: Targets Gemini 3 "Preview" tier for immediate access to bleeding-edge tech.
The tools are ready. Let's get to work.