Building Trustworthy Agentic AI Systems
The definitive guide to building reliable, predictable, and observable multi-agent systems using the Actor Model and Akka SDK.
Reviews
Finally, a book that moves beyond prompt engineering and addresses the hard systems engineering challenges of building reliable AI agents.
About This Book
Building agents is easy. Building agents you can trust is hard.
Most AI development today focuses on making agents “smarter” by chasing larger models and more complex prompts. But in production, these agents often hit a “reliability wall”—they hallucinate, enter infinite loops, and fail in ways that traditional error handling cannot catch.
Building Trustworthy Agentic AI Systems is the first book to bridge the gap between AI prototypes and production-ready distributed systems. Using the battle-tested Actor Model and the Akka SDK, this book provides a practical, code-first blueprint for building multi-agent systems that are predictable, auditable, recoverable, and observable.
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What You Will Learn:
- The Four Pillars of Trust: A comprehensive framework for engineering reliability into non-deterministic systems.
- The Actor Model for AI: Why actors are the perfect primitive for agentic coordination, state management, and failure isolation.
- The Sentinel Case Study: Build a real-world, end-to-end incident triage and remediation system that evolves from a basic chatbot to a resilient multi-agent workflow.
- Production Patterns: Master durable session memory, secure tool integration (MCP), and human-in-the-loop governance.
- Testing & Evaluation: How to move beyond flaky unit tests to systematic, model-based evaluation and chaos testing for agent resilience.
Featured Technology:
- Java 21+ using modern records and concurrency features.
- Akka SDK for distributed state and supervision.
- Model Context Protocol (MCP) for secure, standardized tool integration.
Whether you are a Java developer looking to enter the AI space or an AI architect struggling with agent reliability, this book equips you with the engineering discipline to build agentic systems that people can actually rely on.
Don’t just build smart agents. Build agents you can trust.