ChatGPT for Beginners: A Quick Introduction to Prompt Engineering is a practical guide designed for anyone looking to unlock the full potential of ChatGPT and other advanced AI language models. This book provides a step-by-step introduction to prompt engineering, helping beginners craft precise, effective prompts that generate high-quality, context-aware responses.

From understanding the evolution of GPT models and the underlying Transformer architecture to mastering hands-on techniques for optimizing token usage, this book covers everything you need to start using AI effectively. You'll learn how to design prompts for real-world applications such as note-taking, content creation, coding assistance, and daily productivity tasks. Practical examples, actionable tips, and detailed walkthroughs make it easy to apply these strategies immediately.

The book also emphasizes the responsible and ethical use of AI, highlighting common pitfalls such as bias, repetitive phrasing, and over-reliance on AI outputs. Additionally, it explores the latest AI tools and integrations, including IDE plugins, productivity applications, and multimodal models for audio and video, giving readers insight into the broader AI ecosystem beyond ChatGPT.

Whether you are a student, professional, or hobbyist, *ChatGPT for Beginners* equips you with the knowledge and skills to harness AI safely, efficiently, and creatively, empowering you to become a confident user and prompt engineer in today’s AI-driven world.

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Agent Blueprint: Multi-Agent System Architecture Fundamentals is the next frontier of AI: distributed, collaborative intelligence. Unlike traditional single-agent models, multi-agent systems (MAS) leverage networks of autonomous agents that communicate, coordinate, and adapt to solve complex problems at scale. This book provides a deep technical dive into MAS architectures, protocols, and production-grade best practices.  

You will learn how to:

- Design hierarchical, flat, and hybrid agent architectures for diverse applications.

- Implement robust communication protocols like ACP, MCP, and FIPA ACL.

- Apply task allocation frameworks, including TDAG and Contract Net Protocol, for dynamic orchestration.

- Build real-world applications such as automated SDLC pipelines, enterprise workflow systems, and real-time infrastructure monitoring.

- Scale multi-agent systems safely and efficiently while maintaining explainability, trust, and reliability.  

Packed with examples and production-ready strategies, this book is ideal for software engineers, AI architects, and researchers seeking to implement intelligent multi-agent systems in real-world environments.

Unlock the full potential of web scraping with modern, AI-driven techniques and automation. The "Modern Web Scraping using AI and automation" is a practical guide that teaches you how to build robust, scalable, and intelligent scraping workflows using Python, Playwright, undetected-chromedriver, and the Chrome DevTools MCP. Learn how to extract structured data from complex, JavaScript-heavy websites, handle anti-bot defenses, and integrate Large Language Models (LLMs) for automated content understanding, summarization, and semantic reasoning.

Packed with hands-on examples, this book covers proxy strategies, CAPTCHA handling, network-level scraping, and serverless deployment, providing you with the tools to transform raw web content into actionable insights. Whether you’re a software engineer, data scientist, or AI enthusiast, this guide shows how to build ethical, compliant, and future-proof scraping pipelines that power analytics, machine learning, and AI applications.

Keywords: web scraping, AI-powered scraping, Playwright, browser automation, undetected-chromedriver, Chrome DevTools MCP, LLM scraping, Python scraping, data extraction, automation pipelines, ethical web scraping

About This Book

Agentic Coding for Beginners: A Practical Guide to Building AI-Assisted Workflows with ChatGPT, Copilot, and Multi-Agent Systems is designed for software engineers, technical learners, and curious builders exploring the next phase of intelligent software development. The book introduces agentic coding, a structured approach in which AI agents plan, act, evaluate, and improve through continuous feedback.

Who This Book Is For

This book is written for developers ready to move beyond passive AI assistance into active collaboration with intelligent systems. Whether you use VS Code, GitHub Copilot, Cursor, or ChatGPT, this guide will help you understand how to design autonomous workflows that enhance productivity and reliability.

You don’t need a deep AI background to start. Basic programming knowledge and curiosity about automation are enough. Each section is written to be practical, clear, and directly applicable to real development workflows.

What You’ll Learn

You’ll explore the foundations and practice of agentic coding through examples, walkthroughs, and conceptual discussions:

* How agents plan, execute, and self-evaluate tasks  

* Setting up your development environment for agentic workflows  

* Designing single- and multi-agent systems using frameworks like CrewAI and AutoGen  

* Managing memory, context, and iterative feedback loops  

* Ensuring safety, alignment, and human oversight in autonomous systems  

* Applying constructionist learning to enhance agent performance  

Each concept builds toward mastery, preparing you to build and refine your own intelligent coding agents.

Why It Belongs on Leanpub

Leanpub’s iterative publishing model aligns perfectly with the spirit of agentic development. Just as agents learn by doing, this book grows with the ecosystem, evolving as tools, frameworks, and best practices advance. Readers gain lifetime access to updates, new examples, and refined workflows as the field progresses.

How to Read This Book

Start at the beginning if you’re new to agentic systems, or jump into practical chapters if you prefer learning by experimentation. The book is structured so that theory, design, and implementation reinforce each other. Real projects and walkthroughs anchor the concepts, ensuring you can apply them directly in your workflow.

This is not just a technical manual. It’s a guide to building confidence, understanding, and creativity with intelligent tools, an essential step toward mastering the future of software development.