Overview

Gemini AI Agents with n8n and Google Cloud Run: Create Production-Ready Automation, Reduce Manual Work, and Launch Reliable AI Systems with Confidence Are you under pressure to automate work, reduce operational load, and deliver AI-powered features without adding chaos to your stack? Most teams feel the same tension, everyone wants AI agents that actually work in production, not fragile prototypes that break under real-world conditions. Gemini AI Agents with n8n and Google Cloud Run gives you a clear, practical path forward. This book shows you how to build reliable AI agents using Gemini, orchestrate powerful workflows with n8n, and deploy everything on Google Cloud Run with the confidence that your system will scale, stay secure, and remain cost-efficient. You'll see exactly how modern agent architectures function in real environments. No fluff. No vague theory. Just step-by-step workflows, working patterns, and decisions that engineers, PMs, and support teams can follow immediately. Whether you're building a ticket router, classification engine, content generator, or a full multi-agent platform, this book gives you patterns that hold up under production pressure. You will learn how to: Build AI agents powered by Gemini that generate accurate, structured, and predictable outputs Design n8n workflows that combine triggers, logic, human review steps, and external API calls Containerize your automation system and deploy it securely on Google Cloud Run Apply production standards such as monitoring, logging, error handling, versioning, and CI/CD Reduce manual work across engineering, support, and product teams using agent-driven automation Implement decision thresholds, fallbacks, memory patterns, and workflow branching logic Scale from a single agent to an organization-wide platform with governance and shared templates This book is written for developers, AI/ML engineers, product managers, support engineers, and technical leaders who want to ship production AI systems without complexity. It balances clear explanations with practical depth so you can move fast while staying aligned with real-world engineering standards. If you're ready to build AI systems that matter, systems that reduce manual work, meet reliability expectations, and make your team meaningfully faster, then start here. Take the next step. Get the book and start building production-ready AI agents today.

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