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{ "item_title" : "Agentic AI Systems", "item_author" : [" Jordan R. Ashford "], "item_description" : "AI systems no longer just answer - they decide and act.Agentic AI Systems: Foundations of Architecture and Core Design gives engineers and technical leaders the system-level playbook for building reliable, production-ready AI agents. This is an architecture manual: it covers agent loops, planning and decision-making, state and memory models, tool contracts, guardrails and permissions, observability, and error-handling patterns that keep autonomous systems predictable under real-world pressure.You'll get practical patterns (proposal/executor separation, idempotent tool design, staged autonomy), checklists for safe deployment, and operational tactics proven in early production experiments. If you're designing LLM-driven agents, orchestration layers, or multi-agent coordinators - and you need them to work at scale - this book replaces hype with engineering discipline. Not about prompts; about structure.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/825/045/9798250450829_b.jpg", "price_data" : { "retail_price" : "14.99", "online_price" : "14.99", "our_price" : "14.99", "club_price" : "14.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Agentic AI Systems|Jordan R. Ashford

Agentic AI Systems : Foundations of Architecture and Core Design

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Overview

AI systems no longer just answer - they decide and act.
Agentic AI Systems: Foundations of Architecture and Core Design gives engineers and technical leaders the system-level playbook for building reliable, production-ready AI agents. This is an architecture manual: it covers agent loops, planning and decision-making, state and memory models, tool contracts, guardrails and permissions, observability, and error-handling patterns that keep autonomous systems predictable under real-world pressure.

You'll get practical patterns (proposal/executor separation, idempotent tool design, staged autonomy), checklists for safe deployment, and operational tactics proven in early production experiments. If you're designing LLM-driven agents, orchestration layers, or multi-agent coordinators - and you need them to work at scale - this book replaces hype with engineering discipline. Not about prompts; about structure.

This item is Non-Returnable

Details

  • ISBN-13: 9798250450829
  • ISBN-10: 9798250450829
  • Publisher: Independently Published
  • Publish Date: March 2026
  • Dimensions: 9 x 6 x 0.36 inches
  • Shipping Weight: 0.52 pounds
  • Page Count: 170

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