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  • Agentic AI Architectural Patterns: Engineering Blueprint to Build 24/7 Autonomous Agents That Work While You Sleep | Master Production-Grade Automation, Build Deterministic Pipelines & Control Costs

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Agentic AI Architectural Patterns: Engineering Blueprint to Build 24/7 Autonomous Agents That Work While You Sleep | Master Production-Grade Automation, Build Deterministic Pipelines & Control Costs

by Isaac Vance (Author), Core AI (Contributor) Format: Paperback
4.9 out of 5 stars (28)

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START ARCHITECTING SYSTEMS THAT WORK EVEN WHEN YOUR HANDS LEAVE THE KEYBOARD.
 
Tired of demos that work in tutorials but crumble when building real applications?
Do you fear waking up to a drained bank account because your AI got stuck in an infinite loop?
 
"We have access to too many models, too many tools, and little by little we are losing control."
 
The last 10% is a trap. Just one more prompt. Just one more iteration. It is easy to build unmaintainable code, leaving you "babysitting" a passive bot instead of orchestrating a digital empire. You don't need another framework. You need an engineering standard.
 
"Agentic AI Protocol" is the blueprint to turn fragile demos into production-grade agents. It provides the engineering rigor missing from the hype to build systems that persist and perform.
 
Here is the engineering leverage you will gain:
  • Production-Grade Systems: Build robust error recovery protocols that keep working when others crash.
  • Financial Safety: Implement 'Circuit Breakers' to prevent infinite loops and protect your credit card.
  • Infinite Context Memory: Equip your agents with structured memory (GraphRAG + SQL) so they remember user preferences and project context forever.
  • Universal Integration: Connect agents to files, APIs, and browsers using the Universal MCP Standard.
  • 24/7 Operation: Deploy your digital worker to a VPS for continuous leverage.
  • Multi-Agent Teams: Assemble a synchronized team of expert agents to bill like a full agency while working alone.
  • And much, much more...
 
Imagine starting a task, closing your laptop, and waking up to completed reports, implemented code, and qualified leads. You will become an Agent Architect and master the engineering to build systems that operate with absolute reliability.
 
Scroll up, grab your copy, and start building your autonomous empire today.
Read more
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  1. ISBN-13
    979-8898431396
  2. Publication date
    February 23, 2026
  3. Language
    English
  4. Dimensions
    8.5 x 0.62 x 11 inches
  5. Print length
    272 pages
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The Agentic AI Bible: The Complete and Up-to-Date Guide to Design, Develop, and Scale Goal-Driven, LLM-Powered Agents that Th
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The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Deploy and Scale Production Ready AI Systems
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Product details

  • ASIN ‏ : ‎ B0GRX3GT9Q
  • Publisher ‏ : ‎ Aries Publishing LLC
  • Publication date ‏ : ‎ February 23, 2026
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 272 pages
  • ISBN-13 ‏ : ‎ 979-8898431396
  • Item Weight ‏ : ‎ 1.41 pounds
  • Dimensions ‏ : ‎ 8.5 x 0.62 x 11 inches
  • Best Sellers Rank: #232,356 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.9 out of 5 stars (28)

About the author

Follow authors to get new release updates, plus improved recommendations.
Isaac Vance

Isaac Vance

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Isaac Vance is a technology strategist, AI systems researcher, and author specializing in agentic AI, autonomous software, and intelligent systems design. His work centers on the hard part of modern AI, the part that starts once the demo ends. He studies how agents behave when they call tools, hold state, recover from failure, stay within budget, and keep working inside live software environments.

Vance is the author of Agentic AI Architectural Patterns, a book written for builders who want autonomous systems that can carry real operational work under clear rules. His writing covers agent orchestration, memory design, tracing, budget control, safety checks, and deterministic behavior across multi-step software processes. He is known for explaining difficult technical ideas in plain language and for giving developers, operators, and technical teams usable methods for building AI systems they can test, trust, and run with confidence.

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