Practical AI with Google: A Solo Knowledge Worker's Guide to Gemini, AI Studio, and LLM APIs

Practical AI with Google: A Solo Knowledge Worker's Guide to Gemini, AI Studio, and LLM APIs

Mark Watson
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Table of Contents

Practical AI with Google: A Solo Knowledge Worker's Guide to Gemini, AI Studio, and LLM APIs

  • Preface
    • Who is a Copilot for Whom?
    • Why is this Book Important to You? What is a Knowledge Worker?
    • Structure of This Book
    • Things Said and Things Left Unsaid
    • Acknowledgements
  • Part 1: For All Solo Knowledge Workers
  • Who This Book Is For
    • Freelance Creatives
    • Software Developers
    • AI for Marketing Tasks
    • Consultants and Researchers
  • The Rise of the AI-Powered Solo Knowledge Worker
    • AI Tools: Powering the Solo Revolution
    • AI Tool Categories for Solo Knowledge Workers (May 2025)
    • Beyond Automation: AI as Creative Catalyst, Market Navigator, and Personalization Engine
    • Independent Consultants
    • Programmers and Developers: Productivity Surge, Evolving Skillset
    • Wrap Up for AI Powers Solo Work Revolution
  • Key Concepts: LLMs, Generative AI, Multimodality
  • The Power of Prompts: Engineering Good Inputs for LLMs
    • Why Prompt Quality Matters More Than Model Choice
    • The Six Parts of a Strong Prompt
    • Specific Techniques That Earn Their Keep
    • Prompts for the Work You Actually Do
    • Where Good Prompts Live
    • Common Mistakes
    • Wrap Up
  • Google’s AI Ecosystem
    • Differences Between AI Support in Paid For Google Workspace and Free Apps Like Gmail, Calendar, and Docs
    • Conversational AI Using the Gemini App and Web App
    • Google NotebookLM
    • Google AI Studio
  • Gemini Integration with Gmail, Google Docs, Google Sheets and Google Meet, Google Drive, Google Calendar
    • Combining Gemini in Gmail with Google Docs, Drive, and Calendar
    • Combining Gemini with Google Calendar and Gmail
    • Using Gemini in a Google Doc Specifying a Design Document for a New Software Project
    • Using Gemini with Google Sheets
    • Wrap Up for Gemini Integration with Google WorkSpace Apps
  • Part 2 - Using Python Scripts
  • Python Introduction and Tutorial
    • A Whirlwind Tour of Python for the Curious Mind
    • Wrap Up for Introducing Python
  • First Steps Using Python with the Gemini Python Library
    • Prerequisites
    • Installation with uv
    • Authentication: Connecting Securely
    • Making Your First API Call: Text Generation
    • Google’s Model Naming, and What To Do When a Model ID Changes
    • Wrap Up
  • Gemini Thinking Levels and Extended Reasoning
    • When to Raise the Thinking Level
    • Setting the Thinking Level with the Python SDK
    • Example: demo_1.py - Advertising Strategy Brainstorm
    • Seeing the Difference
    • Compatibility with Gemini 2.5 Models
    • Wrap Up
  • Using Gemini For Both Images and Text (Multimodal Capabilities)
    • Prerequisites and Setup
    • Combining Text and Images in Prompts
    • Example: photo_understanding.py - Analyzing an Image
    • Potential Applications
    • Wrap Up
  • Using Gemini to Write Python for Google Colab
    • Wrap Up
  • Part 3 - Building and Utilizing AI Agents
  • Introducing the Antigravity CLI (agy): Your AI Agent in the Terminal
    • What the Antigravity CLI Is and Why It Matters for Solo Workers
    • Getting Started: Installation and Authentication
    • Core Concepts and Commands
    • Practical Use Cases for the Solo Knowledge Worker
    • Headless Scripting for Batch Work
    • Migrating from the Gemini CLI
    • Wrap Up
  • An Introduction to AI Agentic Workflows Using the Antigravity CLI
    • Beyond Single Prompts: Thinking in Workflows
    • The Reason and Act Loop
    • Your First Agentic Workflow: The Automated Research Brief
    • The Content Repurposing Workflow: From Blog Post to Social Media
    • The Simple Data Analysis Workflow: From CSV to Insights
    • Turning a Workflow into a Skill
    • Wrap Up
  • Knowledge Graphs with LadyBug and Gemini
    • Why Knowledge Graphs Matter for Solo Knowledge Workers
    • The LadyBug Embedded Graph Database
    • Building a Movie Knowledge Graph
    • Implementing a Text2Cypher Chain Manually
    • Asking Natural Language Questions
    • Running the Example
    • Wrap Up
  • Python Research Agent Using Google ADK
    • Overview of Google ADK
    • Research Agent
    • Keeping This Example Working
  • Book Wrap Up
Practical AI with Google: A Solo Knowledge Worker's Guide to Gemini, AI Studio, and LLM APIs/Overview

Practical AI with Google: A Solo Knowledge Worker's Guide to Gemini, AI Studio, and LLM APIs

Course overview

20 chapters
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The Book

Practical AI with Google: A Solo Knowledge Worker's Guide to Gemini, AI Studio, and LLM APIs20 chapters

Begin ›
  1. Preface

  2. Part 1: For All Solo Knowledge Workers

  3. Who This Book Is For

  4. The Rise of the AI-Powered Solo Knowledge Worker

  5. Key Concepts: LLMs, Generative AI, Multimodality

  6. The Power of Prompts: Engineering Good Inputs for LLMs

  7. Google’s AI Ecosystem

  8. Gemini Integration with Gmail, Google Docs, Google Sheets and Google Meet, Google Drive, Google Calendar

  9. Part 2 - Using Python Scripts

  10. Python Introduction and Tutorial

  11. First Steps Using Python with the Gemini Python Library

  12. Gemini Thinking Levels and Extended Reasoning

  13. Using Gemini For Both Images and Text (Multimodal Capabilities)

  14. Using Gemini to Write Python for Google Colab

  15. Part 3 - Building and Utilizing AI Agents

  16. Introducing the Antigravity CLI (agy): Your AI Agent in the Terminal

  17. An Introduction to AI Agentic Workflows Using the Antigravity CLI

  18. Knowledge Graphs with LadyBug and Gemini

  19. Python Research Agent Using Google ADK

  20. Book Wrap Up