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The Agentic AI Blueprint

A 5-in-1 Practical Guide to Designing, Building, Running, and Scaling Autonomous AI Agents, Multi-Agent Systems, and Production-Ready Intelligent Workflows

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The Agentic AI Blueprint

By: Bob M. Clarks
Narrated by: Gerhard Weigelt
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About this listen

Everyone is talking about AI agents. But do you actually know how to build ones that work in production?

Rooted in Engineering Reality: Overwhelmed by the flood of AI agent buzzwords but unsure what works at scale? This 5-in-1 guide offers a practical roadmap to designing and deploying autonomous AI agents that deliver real business value. Unlike guides that stop at proof-of-concept demos, The Agentic AI Blueprint equips you with production-tested patterns and honest framework comparisons.

Complete 15-Chapter System: Frustrated by the gap between understanding concepts and shipping reliable systems? This comprehensive blueprint organizes your journey into 5 standalone guides and 15 actionable chapters. From foundational architecture to building your first production agent, orchestrating multi-agent systems, and establishing governance, you will find a structured path.

Architecture Meets Implementation: Tired of AI resources that explain what agents are but never show you how to build them? This guide bridges concept and code through complete walkthroughs and real implementation patterns. It goes beyond passive listening by allowing you to actively reinforce your skills.

Inside the Audiobook:

  • 15 actionable chapters featuring practical techniques for framework selection, coordination, and scaling.
  • Complete code patterns including full agent implementation walkthroughs.
  • Production-ready focus covering deployment architectures, monitoring, and debugging.
  • BONUS: Exclusive Quizlet Course included with interactive tools to reinforce key concepts.

The future belongs to builders who can ship agents that actually work. Get the blueprint that takes you from concept to production today!

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2026 Jelle Olivier Magnus Postma (P)2026 Jelle Olivier Magnus Postma
Computer Science Machine Theory & Artificial Intelligence
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