From Prompts to Processes: Engineering Reliable AI Systems Using LangGraph
English | May 4, 2026 | ASIN: B0GX32JR6J | 229 pages | Epub | 156.92 KB
Building AI systems that work in production requires more than clever prompts and powerful models. It requires structure, control, and engineering discipline. From Prompts to Processes: Engineering Reliable AI Systems Using LangGraph addresses the growing gap between experimental AI applications and dependable, long-running systems that can survive real-world conditions.This book shows how to move beyond prompt-centric design and build AI workflows as explicit, stateful processes. Using LangGraph as the execution foundation, it demonstrates how to engineer AI systems that are deterministic, observable, governable, and resilient to failure. Rather than treating language models as autonomous decision-makers, the book positions them as components within well-defined systems that manage state, control flow, retries, approvals, and recovery.Inside, you will learn how to design long-running AI processes, coordinate multiple agents safely, integrate tools and external services, persist execution state, and support human-in-the-loop oversight without breaking workflow continuity. The book covers practical concerns such as error handling, cost control, observability, versioning, testing, and system evolution-areas where most AI projects struggle once they leave the prototype stage.Written for software engineers, system architects, and technical leads, this book focuses on production realities rather than demos. It emphasizes clear system boundaries, enforceable rules, and durable execution over probabilistic behavior and prompt improvisation.If you are building AI systems that must be trusted, audited, scaled, and maintained over time, From Prompts to Processes provides the architectural mindset and practical patterns needed to make that transition successfully.
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