Google Antigravity and Gemini 3.1 Pro

Build Agentic Apps That Make You Money While You Sleep

De: Chris Sullivan

Narrado por: Virtual Voice

Build AI Applications That Generate Revenue While You Sleep

Stop building chatbots that nobody pays for. Start building agentic AI systems that work autonomously and generate real income. This comprehensive guide reveals how solo developers are using Google Antigravity and Gemini 3.1 Pro to compress 18-month development cycles into 11-day builds and launch profitable AI applications without teams or funding.

Master the Revolutionary Google AI Stack

Learn to use Google Antigravity, the agent-first IDE that enables parallel AI development workflows. Built with Gemini 3.1 Pro, the advanced model is designed specifically for multi-step reasoning, long-context processing, and autonomous task completion. Understand the complete architecture of agentic systems that research, write, analyze, and deliver value around the clock.

What You Will Build:

• Document intelligence agents that analyze contracts and extract structured data using Gemini's 1-million-token context window
• Content automation pipelines that produce SEO-optimized articles, social media content, and marketing copy at scale using multi-agent workflows
• Competitive intelligence systems that monitor markets, track competitors, and deliver real-time structured reports with Google Search grounding
• Research automation tools that synthesize information from dozens of sources into actionable business intelligence
• API businesses that package your agents for thousands of customers through RapidAPI and custom developer portals

Complete Technical Implementation

Deploy production-ready applications using Google Cloud Run, Firebase, and Stripe integration. Master function calling to give agents real-world capabilities. Implement grounding for real-time web access and context caching to optimize costs. Build multi-agent systems with the Agent Development Kit using the Planner-Executor-Validator pattern for complex workflows.

Three Proven Business Models

Follow detailed implementations of profitable AI applications: content automation services generating $19,900 monthly revenue, research retainer businesses serving private equity firms and startups, and API products selling intelligence to other developers. Learn exact pricing strategies, usage metering systems, and cost optimization techniques that ensure profitability at scale.

Who This Book Is For

Developers with basic Python knowledge who want to build profitable AI applications. Founders looking to automate expensive manual processes. Engineers transitioning from traditional software to AI-powered systems. Anyone ready to build applications that generate passive income without requiring constant supervision.

Written by a mechanical engineer who taught himself AI development, this book explains complex agentic concepts in plain language. You do not need a machine learning PhD or computer science degree. You need curiosity, engineering discipline, and the willingness to build something real that customers will pay for.

The infrastructure is ready. The models are capable. The gap between idea and revenue has collapsed. Start building applications that work while you sleep.