Designing, Architecting, and Implementing Full-Stack Agentic AI Applications
Language: English
Published by Independently Published, 2025
- Softcover
- New

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AbeBooks seller since June 11, 1999
Condition: New
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- Title
- Designing, Architecting, and Implementing Full-Stack Agentic AI Applications
- Author
- Qayoom, Al
- Publisher
- Independently Published
- Publication year
- 2025
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 13
- 9798272353047
- Item weight
- 481 grams
- Series
- Book 7 of 9: The Adaptive Enterprise Series
The era of “prompt and pray” is over.
Welcome to the age of Agentic AI — where intelligence doesn’t just respond… it acts.
If you’ve ever felt like every “AI” demo online looks magical until you try to build it yourself — only to end up debugging 47 JSON errors at 3 a.m. — this book is for you.
Designing, Architecting, and Implementing Full-Stack Agentic AI Applications isn’t another hype-cycle artifact. It’s a field guide for the engineers, architects, and system thinkers building what comes next — systems that reason, remember, act, and evolve.
What This Book Is Really About
Agentic AI isn’t about fancier chatbots. It’s about creating systems that think with us — not just for us.
This book walks you through the new full stack: from cognition to action, memory to governance, scaling to self-correction. You’ll learn how to go beyond “generative AI” into autonomous intelligence you can actually trust.
Think of it as the missing blueprint between prompt engineering and autonomous architecture — written for practitioners, not PowerPoint decks.
Inside You’ll Learn How To:
✅ Architect the Cognitive Core — design reasoning and planning systems that don’t hallucinate halfway through a workflow.
✅ Connect Cognition to Action — make your agents do something useful by wiring APIs, databases, and orchestration layers.
✅ Build Reflection Loops — teach agents to analyze their own output and self-correct like grown-ups.
✅ Design Memory Architectures — integrate structured and unstructured data with RAG, GraphRAG, and context-aware retrieval.
✅ Govern Autonomy Responsibly — bake transparency, accountability, and ethics into every decision layer.
✅ Scale the Swarm — get multi-agent ecosystems to collaborate (without melting your GPU bill).
✅ Sustain Intelligence — establish feedback, telemetry, and learning pipelines that evolve over time.
By the end, you’ll understand not just how to make an AI agent work — but how to make it worth deploying.
The A.G.E.N.T.S.™ Framework: Your Six-Stage Blueprint
A.G.E.N.T.S. stands for:
Assess → Generate → Execute → Network → Trust → Sustain
Each stage is a self-contained discipline — from auditing your data foundation to scaling cognitive uptime — forming a complete, repeatable framework for designing agentic systems that scale safely.
Whether you’re a machine learning engineer, solutions architect, DevOps lead, or curious CTO, this framework gives you the mental model and playbook to build systems that don’t collapse under their own intelligence.
Who This Book Is For
- Engineers who want to move from code jockey to cognitive architect.
- Architects tired of buzzwords who want real end-to-end implementation patterns.
- Business and product leaders who want to understand how autonomy creates competitive advantage (without getting sued).
- Anyone who’s ever muttered, “Why did the AI just do that?” and decided to find out.
Why It Matters
We’re entering a world where your systems will think, plan, and act.
The question isn’t if you’ll build agentic AI — it’s whether you’ll do it responsibly, scalably, and smartly.
This book teaches you how.
It’s your survival guide to the next software revolution — where engineering meets cognition, and autonomy becomes the new stack.
Stop building tools that only think in fragments.
Start building systems that think, act, and evolve.
→ Designing, Architecting, and Implementing Full-Stack Agentic AI Applications
Your blueprint for the age of autonomous intelligence.
"Synopsis" may belong to another edition of this title.
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