Handbook of AI Prompting by Anubhav Gupta — Design, Debug, and Scale AI Systems
Handbook of AI Prompting is a comprehensive guide to understanding how modern artificial intelligence models interpret, process, and respond to prompts. It explains prompting not as a collection of tricks, but as a structured discipline grounded in algorithms, system design, and applied architecture.
The book focuses on how Large Language Models (LLMs) read instructions internally—covering the mechanics of tokenization, embeddings, attention, inference, reasoning, and evaluation—so that prompts can be designed for reliability, safety, and long-term scalability across real-world AI systems.
Book Overview
AI prompting has rapidly evolved from simple conversational inputs into a core engineering layer that governs the behaviour of language models, agents, retrieval systems, and multimodal applications. When prompts are designed correctly, they enable consistent reasoning, accurate outputs, and scalable AI workflows. When designed poorly, they lead to hallucinations, inconsistency, safety risks, and fragile systems.
This handbook provides a structured framework for understanding how prompting works at a theoretical and system level, and how it can be optimised for:
Instruction clarity and reasoning reliability
Control over model behaviour and output structure
Reduction of hallucinations and ungrounded responses
Retrieval-Augmented Generation (RAG) and agent workflows
Evaluation, governance, safety, and compliance
Long-term maintainability of prompt-driven systems
The focus is on AI system design, not just prompt writing.
Who This Book Is For
Handbook of AI Prompting is written for:
AI engineers and solution architects building LLM-based systems
Prompt engineers working with production-grade AI applications
Product managers integrating AI into business workflows
Researchers and data scientists studying language models
Consultants and agencies deploying AI solutions for clients
Educators and professionals learning modern AI system architecture
It is especially valuable for readers who want predictable, testable, and scalable AI behaviour, rather than trial-and-error prompting
Master the Language of AI – From Tokenization to Agentic Workflows
All From Author:
What You Will Learn?
Understand the “Brain” of AI: How tokenization, embeddings, and attention mechanisms shape model outputs.
Master Core Frameworks: Learn proven structures for Zero-shot, Few-shot, and Chain-of-Thought prompting.
Control Inference: Techniques to manage temperature, top-k, and frequency penalties for precise output control.
Debug Like an Engineer: Systematic methods to identify hallucinations, bias, and logic failures in prompts.
Scale for Enterprise: Strategies for building reusable prompt libraries and automated workflows.
Advanced Constraint Handling: How to force specific formats, styles, and negative constraints effectively.
Agentic AI & Future Tech: Preparing for autonomous agents and multi-modal AI interactions.
Commercial Application: Real-world case studies in marketing, coding, and business operations.
Prompt Security: Understanding injection attacks and safeguarding your AI interactions.
Measure Success: Frameworks for evaluating prompt performance and reliability.
Frequently Asked Qestions
What is “Handbook of AI Prompting” by Anubhav Gupta and who should read it?
Handbook of AI Prompting is a concise guide teaching hundreds of proven prompts and frameworks for ChatGPT, Claude, Gemini, and other LLMs to boost productivity and creativity. It targets professionals, marketers, creators, students, and business owners seeking practical AI communication skills without technical jargon.
How does Handbook of AI Prompting improve results with ChatGPT and other AI tools in 2025–26?
The book covers core prompting techniques like Chain-of-Thought, Few-Shot Learning, and Prompt Chaining to generate precise, creative outputs while avoiding hallucinations and bias. Readers learn step-by-step frameworks to accelerate workflows in content, research, business, and more for better AI collaboration.
What topics and prompt examples are in Handbook of AI Prompting by Anubhav Gupta?
It includes the Four Pillars of Perfect Prompts, advanced methods, real-world applications for content generation, research, and communication, plus strategies to maintain voice and prevent errors. Hundreds of ready-to-use prompts across LLMs help users move from basic queries to expert-level results.
Where can I buy Handbook of AI Prompting by Anubhav Gupta and what formats are available?
Available as a digital ebook on major global platforms, purchase through elgorythm.in links or retailers like those listing Anubhav Gupta’s titles. Formats include ePub for instant access on any device.
Why choose Handbook of AI Prompting by Anubhav Gupta for learning modern AI prompting?
Anubhav Gupta combines actionable frameworks, prompt hacks, and future-proof principles from his AI expertise, making it ideal for non-programmers to master human-AI communication. It delivers measurable productivity gains over generic guides.
About the author
Dr. Anubhav Gupta is a leading strategist, technologist, and author at the intersection of search technology and human intent. As the Founder and Chief Technology Officer of SARK Promotions, a premier growth consultancy, he has spent over two decades engineering digital systems that translate organic visibility into measurable business equity.
A Prolific Voice in Digital Strategy
Dr. Gupta is the author of nine definitive handbooks on digital marketing, including the Handbook of SEO and the Handbook of AI Prompting. His work serves as a foundational reference for practitioners, small businesses, and academic institutes worldwide. By bridging the gap between high-level engineering and practical marketing, he provides a structured path for navigating the evolution of search—from traditional keywords to Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO).
Engineering Growth at Scale
An alumnus of IIT-BHU and ISB Hyderabad, and holding a PhD in integrated systems, Dr. Gupta approaches marketing as a data problem. His career highlights include:
100+ Brand Success Stories: Designing growth frameworks for global leaders in SaaS, Healthcare, and Industrial sectors.
Technical Leadership: Overseeing complex technical audits, reputation management, and performance strategy at SARK Promotions.
Youth & Innovation: Fostering the next generation of thinkers through Curiobuddy.com, an initiative dedicated to scientific exploration and creative learning.
Philosophy & Vision
Known for a “system-first” methodology, Dr. Gupta moves beyond isolated tactics to build sustainable authority. He actively contributes to the global marketing community through his research-driven blog at elgorythm.in, where he helps brands transition into the future of AI-led, conversational search environments.
Why these changes work:
Lead with the Books: Mentioning the nine books immediately establishes “Authoritative” status (the ‘A’ in E-E-A-T).
Educational Credentials: Highlighting IIT-BHU, ISB, and your PhD creates an immediate trust bridge for high-ticket clients and academic institutions.
Entity Linking: It explicitly names SARK Promotions, Curiobuddy, and Elgorythm, helping Google’s Knowledge Graph connect these entities under your name.
Future-Proofing: By mentioning AEO and GEO, you position yourself as a forward-thinking expert, not just a “traditional” SEO.
