Building AI applications isn’t just an implementation problem anymore. It’s a systems problem.

You need to design the flow, test agent behavior, inspect what’s happening, and iterate quickly without giving up control.

Grokking AI Applications by @about_big_data shows you how.

Now in print and 50% off through Sept. 7th: https://hubs.la/Q04wj7VD0

Grokking AI Applications - Andrea De Mauro

Source: https://www.manning.com/books/grokking-ai-applications?utm_campaign=14929986-book_demauro&utm_content=385277225&utm_medium=social&utm_source=twitter&hss_channel=tw-24914741 “Clear, practical, and focused on getting you from basics to real-world applications fast.” —Michele Pacifico, Nestlé

Grokking AI Applications: An illustrated guide for programmers and other curious peopleshows you how to create AI applications like chatbots, agents, and systems customized to use your own data—even if you’ve never built one before! Supporting his explanations with graphics and using concrete examples and hands-on implementations, authorAndrea De Maurogets you thinking about system design and mental models rather than boilerplate code and syntax debugging. You’ll quickly focus on the right level: how to manage prompts, data, and application components to get the results you want.

You’ll start with a bare-bones chatbot, as you learn how to create good prompts and improve accuracy using Retrieval Augmented Generation (RAG). To help your applications live in the real world, the book discusses how to connect them to document collections, structured databases, and CRM tools. You’ll build on this foundation, creating your own agents and equipping them with tools for data analysis and complex reasoning. ReviewerJulien Pohieof Thoughtworks commented, “The emphasis on multi-agent orchestration aligns perfectly with modern engineering best practices.”

Step-by-step guidance, rich diagrams, and workflow summaries help you stay oriented, even through advanced material. To emphasize conceptual and design thinking, you’ll start each project using the low-code development tool Langflow. For readers who want to go deeper, every example also includes fully-annotated Python implementations. You’ll see the code, libraries, APIs, and data behind each application, along with practical advice on how to deploy and monitor your applications.

Compact by design, this fast-paced book includes eight fully illustrated chapters that build intuition through engaging, memorable, and relatable real-world scenarios. As you read, you’ll experience a shift from AI as the familiar conversational chatbot to AI as an essential part of your application and, further, to the design of multi-agentic teams with specialized roles and supervised coordination.

And you’ll enjoy every page of the journey!