Valentina Alto brings practitioner-level detail to the challenge of building AI agents that work reliably in production, not just in demos. AI Agents in Practice covers the full lifecycle — design, implementation, and scaling — with an emphasis on the engineering realities that separate working systems from prototypes.
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In StockA lot of AI agent content stops at the prototype stage; AI Agents in Practice is concerned with what comes after. Valentina Alto walks through the full lifecycle of building autonomous AI systems, starting with architectural design decisions and moving through implementation details that matter once a system needs to run reliably in a live environment. The book pays particular attention to the gap between a working demo and a production-grade system — handling failure cases, managing costs, ensuring consistent behavior, and scaling agents to handle real workloads. At 282 pages, it stays focused and technical without becoming bloated, suited to engineers and technical leads who already understand the basics of AI agents and want to go deeper into implementation specifics. For readers building agentic systems that need to actually hold up outside a controlled testing environment, this offers grounded, practitioner-level guidance that’s harder to find than introductory material.
Author: Valentina Alto.
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