Building Trustworthy Agentic AI Systems
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. ...