Agentic Automation: Designing Self-Directed AI Systems That Plan, Decide, and Execute Work Without Human Micromanagement

By RAYMOND TECH

Stop simply automating tasks and start building a digital workforce. Agentic Automation is the definitive, all-in-one resource for mastering the next great leap in artificial intelligence: the transition from static, rule-based workflows to autonomous, self-directed AI agents. Whether you are an automation engineer looking to move beyond RPA or a developer eager to build complex multi-agent systems, this book provides the step-by-step blueprint from core reasoning architectures to production-ready swarms.

Inside this comprehensive guide, you will discover how to:

Master the Anatomy of Agency: Deep dive into the reasoning engines (LLMs), planning layers, and memory systems that allow agents to think before they act.

Architect Autonomous Loops: Design self-correcting systems using the ReAct (Reason-Act-Observe) and Plan-and-Execute patterns.

Build Specialized Agent Swarms: Orchestrate multiple AI "personas" to collaborate, debate, and verify each other's work for higher reliability and accuracy.

Connect to the Real World: Integrate agents with REST APIs, internal databases, and third-party SaaS tools to execute multi-system workflows.

Implement Ethical Guardrails: Build "Safe Autonomy" with deterministic kill switches, budgetary caps, and human-in-the-loop governance.

Scale for Industry: Apply agentic blueprints to Finance, Healthcare, Legal, and DevOps with 50+ real-world use cases and design patterns.

Unlike typical AI tutorials that focus only on isolated prompts, this book delivers a complete engineering journey-blending high-level strategy with the hands-on technical rigor required by real-world automation experts. By the end of this playbook, you won't just "prompt" an AI; you will architect autonomous systems that can adapt, reason, and operate reliably in complex environments.

• Format: Paperback
• Language: English
• ISBN: B0GKPCQ8S2
• ISBN13: 9798246192511
• Release Date: January 2026
• Publisher: Independently Published
• Length: 136 Pages
• Weight: 0.36 lbs.
• Dimensions: 0.3" x 5.5" x 8.5"