Building AI Agent Platforms by Ben O'Mahony, Fabian Nonnenmacher

Building AI Agent Platforms by Ben O'Mahony, Fabian Nonnenmacher

The core philosophy of Building AI Agent Platforms is that individual AI agents are highly impressive in a vacuum, but the organizations that will dominate the market are those that can manage them at scale. The authors address a critical bottleneck across the modern technology landscape: building a simple script with an open-source framework is relatively straightforward, but deploying and managing AI to build, test, and maintain corporate software systems is an entirely different battle. When an organization scales up from a few experimental sandboxes to thousands of active agents modifying data paths simultaneously, standard IT infrastructures crumble under unpredictable runtime control flows, massive token costs, and catastrophic security vulnerabilities.

As our regional technology corridors, offshore engineering ecosystems, and corporate software laboratories move rapidly from basic exploratory data analytics to building fully autonomous operational systems, technical leads are hitting a major wall. While intermediate programmers can easily spin up a basic LangChain or CrewAI template, enterprise projects routinely fail when shifting to production because they lack a systematic, enterprise-grade platform framework to handle unexpected agent loops, monitor data privacy, and control runaway cloud costs.

Language: English.

Genre: Platform Engineering.

Binding: সেলাই করা বাইন্ডিং

Quality: Premium Quality Books.

Printing: High Quality Printing.

Paper: Eye Friendly paper (Cream White)

Cover: Matt cover (Paperback).