Engineering AI Agents with Gemini Deep Research API (Paperback)
Language: English
Published by Independently Published, 2026
- Softcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 25.05
Quantity: 1 available
Add to basketItem description from seller
Paperback. Engineering AI Agents with Gemini Deep Research API: The Complete Guide to Building Autonomous AgentsMost AI agents fail for predictable reasons. They hallucinate. They lose context. They burn tokens without delivering value. Teams invest weeks wiring prompts together, only to discover their "agent" is just a fragile script wrapped in hype.Engineering AI Agents with Gemini Deep Research API gives you a production-grade path forward. This book shows you how to design, build, and operate autonomous AI agents that reason over real data, conduct structured research, call tools safely, and make decisions with measurable reliability. Instead of scattered experiments, you'll build systems that stand up to real workloads.Centered on the Gemini Deep Research API, this guide walks through the architecture patterns that matter: memory buffers, multi-step reasoning workflows, tool orchestration, cost control, evaluation pipelines, and safety guardrails. You'll move beyond prompt tinkering into structured agent engineering grounded in modern LLMOps principles.Inside, you'll learn how to: Architect autonomous AI agents with scalable reasoning loopsIntegrate the Gemini API into research-driven workflowsImplement tool calling, retrieval, and memory systemsDesign evaluation and monitoring frameworks for reliabilityControl latency, token usage, and operational costDeploy agents securely in production environmentsWant agents that can research, synthesize, validate, and act with minimal supervision? Curious how to build AI systems that don't collapse under complexity?This is your blueprint for building real autonomous agents, not prototypes.If you're an AI engineer, architect, or technical founder ready to build intelligent systems that perform under pressure, start here. Add this book to your toolkit and begin engineering AI agents that deliver measurable results. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9798249049621
- Title
- Engineering AI Agents with Gemini Deep Research API (Paperback)
- Author
- Anthony Tinline
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798249049621
Most AI agents fail for predictable reasons. They hallucinate. They lose context. They burn tokens without delivering value. Teams invest weeks wiring prompts together, only to discover their “agent” is just a fragile script wrapped in hype.
Engineering AI Agents with Gemini Deep Research API gives you a production-grade path forward. This book shows you how to design, build, and operate autonomous AI agents that reason over real data, conduct structured research, call tools safely, and make decisions with measurable reliability. Instead of scattered experiments, you’ll build systems that stand up to real workloads.
Centered on the Gemini Deep Research API, this guide walks through the architecture patterns that matter: memory buffers, multi-step reasoning workflows, tool orchestration, cost control, evaluation pipelines, and safety guardrails. You’ll move beyond prompt tinkering into structured agent engineering grounded in modern LLMOps principles.
Inside, you’ll learn how to:
-
Architect autonomous AI agents with scalable reasoning loops
-
Integrate the Gemini API into research-driven workflows
-
Implement tool calling, retrieval, and memory systems
-
Design evaluation and monitoring frameworks for reliability
-
Control latency, token usage, and operational cost
-
Deploy agents securely in production environments
Want agents that can research, synthesize, validate, and act with minimal supervision? Curious how to build AI systems that don’t collapse under complexity?
This is your blueprint for building real autonomous agents, not prototypes.
If you’re an AI engineer, architect, or technical founder ready to build intelligent systems that perform under pressure, start here. Add this book to your toolkit and begin engineering AI agents that deliver measurable results.
"Synopsis" may belong to another edition of this title.
Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
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