[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODE3MTY","title","Agent Engineering with Gemini","state","published","contactAuthorMethod","email","aboutText","

Agent Engineering with Gemini is a practical guide to designing and building reliable AI agents—not merely impressive demonstrations.

Most material about AI agents focuses on prompts, framework syntax, or isolated examples. This book focuses on the engineering discipline surrounding the model: context, tools, reusable skills, structured workflows, control loops, evaluation, guardrails, and human oversight.

Book 1 takes readers from first principles to a complete, inspectable agent MVP using Google Gemini, the Agent Development Kit (ADK), and Antigravity.

Throughout the book, readers build the WidgetWare SDR, an evidence-backed sales-development agent for a fictional company. The system researches target organizations, identifies relevant business signals, develops stakeholder and pain hypotheses, prepares personalized outreach, evaluates its own work, and pauses for human approval before any external action.

Readers will learn how to:

Distinguish prompts, assistants, workflows, and agents
Decide when an agent is—and is not—the right solution
Structure an agent-development workspace with Antigravity
Give agents relevant business context and durable instructions
Design tools with narrow permissions and predictable outputs
Package reusable capabilities as skills
Build structured workflows with Gemini and ADK
Implement evidence-backed research and traceable claims
Coordinate specialist agents through explicit handoffs
Add evaluation, guardrails, and human-approval boundaries
Integrate the components into a working WidgetWare SDR MVP

The book emphasizes one central principle:

Use deterministic software wherever the required behavior is known. Use an AI agent only where interpretation, judgment, uncertainty, or adaptive reasoning genuinely requires it.

This book is intended for software engineers, architects, consultants, technical leaders, instructors, product builders, and students who want to move beyond prompt experimentation and learn how complete agent systems are engineered.

This is an actively developed Early Access Edition. Book 1 is designed as a complete 10-class learning journey supported by implementation exercises and a companion reference project. Purchasers receive future updates to this edition, including improved explanations, corrections, examples, exercises, and lab updates.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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