Building Agentic AI with DSPy: A Practical Guide to Declarative Design and Predictable AI Behavior

Name: Building Agentic AI with DSPy: A Practical Guide to Declarative Design and Predictable AI Behavior
Brand: Independently Published
SKU: 9798274025430
Price: 1485.0 INR
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by Aaron Blake

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ISBN13: 9798274025430
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: November 11, 2025
Pages: 178
Original Price: GBP 12.99
Language: English
Edition: N/A
Item Weight: 318 grams
BISAC Subject(s): Artificial Intelligence / Natural Language Processing

About The Book

Are you tired of unpredictable prompts, brittle logic, and AI systems that behave differently every time you run them? What if you could build AI agents that behave consistently, follow well-defined constraints, and can be engineered like reliable software?
Building Agentic AI with DSPy introduces a practical, engineering-driven approach for constructing predictable, modular, and testable AI agents using DSPy's declarative programming model. Instead of relying on prompt experimentation, DSPy allows you to define exact behaviors using structured Python modules-enabling agents that are stable, auditable, and easy to maintain.
This book walks you step-by-step through the fundamentals of DSPy and gives you everything you need to design robust agent workflows, build predictive modules, and manage retrieval, datasets, and integration without prompt chaos.
✅ What You'll Learn

How DSPy eliminates brittle prompts through declarative I/O modeling
How predictive modules and signatures create reliable agent behavior
How to design reusable components for modular AI workflows
How to build zero-shot and few-shot modules with structured constraints
How to integrate Retrieval-Augmented Generation (RAG) the correct way
How to create datasets, benchmarks, and evaluations for predictable agents
How to build complete end-to-end workflows for real-world tasks
How to test, debug, and validate agent behavior with confidence
How to prepare your work for optimization, scaling, and production

✅ Who This Book Is For

AI engineers building serious, reliable applications
Python developers moving from prompts to agent engineering
ML practitioners deploying structured workflows
Technical founders and team leads designing AI systems at scale

Whether you're new to DSPy or upgrading from traditional prompt engineering, this book gives you the clear mental model and hands-on patterns required to build dependable, production-ready agents.
If you want predictable AI behavior, modular workflows, and a foundation for advanced agent systems, this is your starting point.

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