AI AGENTS & AUTOMATION
A Practical Project Guide to Building Intelligent AI Agents and Automated Workflows
Build practical AI agents and automate real-world digital workflows through five hands-on projects. Learn to create research, email, social media, news digest, and code review agents using modern AI tools and step-by-step implementation guidance.
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About the Book
About the Book
AI Agents & Automation: A Complete Practical Guide is a hands-on guide to understanding, designing, and developing AI-powered agents for real-world tasks. The book brings together five practical projects that demonstrate how modern AI tools can be used to build intelligent workflows and automate everyday digital activities.
Through step-by-step project guidance, readers explore the development of a Personal Research Agent, Email Auto-Responder Agent, Twitter/X Content Agent, Daily News Digest Agent, and Code Review Agent.
Each project introduces practical concepts, implementation approaches, AI tool integration, workflow design, and automation techniques. The book covers tools and platforms such as Claude, ChatGPT, Perplexity, Grok, Claude Code, OpenAI Codex, and GitHub Copilot.
Whether you are exploring AI automation for the first time or looking to expand your practical AI development skills, this book provides a project-oriented learning experience focused on building useful AI-powered solutions.
Teaser Text
Build practical AI agents and automate real-world digital workflows through five hands-on projects. Learn to create research, email, social media, news digest, and code review agents using modern AI tools and step-by-step implementation guidance.
Meta Description
Learn to build five practical AI agents for research, email automation, Twitter/X content, daily news digests, and code review using Claude, ChatGPT, Perplexity, Grok, OpenAI Codex, and GitHub Copilot.
Release Notes
2026 Edition – First Release
This edition brings together five practical AI agent development projects in one comprehensive guide.
Key highlights:
- Five complete AI agent projects presented in a structured sequence.
- Personal Research Agent using Claude, Perplexity, and Grok.
- Email Auto-Responder Agent using Claude Code, ChatGPT, and OpenAI Codex.
- Twitter/X Content Agent using Grok, Claude, and ChatGPT.
- Daily News Digest Agent using Perplexity, Grok, and Claude.
- Code Review Agent using Claude Code, OpenAI Codex, and GitHub Copilot.
- Practical implementation guidance, workflow design, and automation concepts.
- Project-oriented learning approach for exploring real-world AI applications.
This release is designed as a consolidated learning resource for readers interested in practical AI agents and automation workflows.
Author Notes
Anshuman Kumar Mishra is a computer science professional, educator, and technical author with an M.Tech in Computer Science from BIT Mesra, Ranchi. His interests include Artificial Intelligence, Generative AI, Agentic AI, software development, emerging technologies, and technology-driven education.
Through his technical writing, he aims to make complex concepts easier to understand by presenting them through structured explanations and practical project-based learning.
His books are intended to help students, educators, developers, and technology enthusiasts explore emerging technologies and apply their knowledge to practical challenges.
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Author
About the Author
Anshuman Kumar Mishra, M.Tech (Computer Science) Assistant Professor, Doranda College, Ranchi University
Prolific Author of 50+ Books on AI, Machine Learning & Computer Science | 20+ Years Experience
Anshuman Kumar Mishra is a dedicated educator, researcher, and highly prolific author with over 20 years of experience in Computer Science and Information Technology. Holding an M.Tech in Computer Science from BIT Mesra, he brings a rare combination of academic depth and practical teaching expertise.
Currently serving as Assistant Professor at Doranda College under Ranchi University, he has mentored thousands of students, helping them build strong foundations in programming, data science, and artificial intelligence. His student-centric teaching style emphasizes conceptual clarity, hands-on practice, and real-world application.
Anshuman is a prolific author with more than 50 books published across a wide spectrum of computer science and emerging technology domains. From foundational programming languages to advanced topics in Artificial Intelligence, Machine Learning, Reinforcement Learning, Decision Theory, and Computer Vision — his books are widely appreciated by students, educators, and professionals for their clear explanations, strong theoretical foundation, and practical approach.
His extensive body of work reflects his deep commitment to making complex subjects accessible and meaningful for learners at all levels. He is particularly recognized for creating well-structured learning paths that help readers progress from beginner to advanced levels with confidence.
Driven by the mission to democratize quality technical education, Anshuman continues to write and update books that bridge the gap between academic theory and industry practice.
When not teaching or writing, he actively follows and explores new developments in AI, Quantum Machine Learning, and Ethical Intelligence systems.
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