Passive Income with ChatGPT
The Ultimate Prompt Engineering Guide
Kunwar Deep
Founder Be Bright India | Creator @the_ecomjet
Kunwar Deep
Passive Income with ChatGPT
The Ultimate Passive Income with AI Guide
Copyright © 2023 by Kunwar Deep
All rights reserved. No part of this publication may be reproduced, stored or
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permission from the publisher. It is illegal to copy this book, post it to a
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Kunwar Deep has no responsibility for the persistence or accuracy of URLs
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and does not guarantee that any content on such Websites is, or will remain,
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book are not associated with any product or vendor mentioned in this book.
None of the companies referenced within the book have endorsed the book.
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Contents
1 Preface
1
2 Getting Started with ChatGPT-4 orolder versions
4
3 Introduction to Artificial Intelligence
6
4 Understanding ChatGPT
13
5 Introduction to Prompt Engineering
19
6 Strategies for designing effective prompts
22
7 Prompt Engineering techniques from empirical research
26
8 Iterative Approach to Prompt Testing and Optimization
31
9 Creating and monetizing podcasts with ChatGPT
36
10 Creating and selling city guides or travelogues with ChatGPT
45
11 Creating and monetizing cook-books with ChatGPT
55
12 Creating and selling profitable non-fiction or fictionbooks...
64
13 Affiliate Marketing with ChatGPT
75
14 Creating, producing and monetizing online courses with...
88
15 Building a Social Media Management Business with ChatGPT 16
98
Using ChatGPT to create, produce and monetize video scripts... 17
106
Creating and selling unique calendars with ChatGPT
116
18 Create and sell self-help materials with ChatGPT
125
19 Selling ChatGPT generated board games or puzzles
133
20 Creating and monetizing quiz questions and riddles with...
144
21 Afterword
153
1
Preface
As we begin, I’d like to say thank you for deciding to support me and my work .
Your interest and engagement help me advancing my research in the exciting field
of artificial creativity. Writing this book has been a deeply fulfilling experience,
and I’m excited to share my knowledge, insights, and experience with you, hoping
that it will inspire you to explore and apply the power of AI in your own work.
Having had the opportunity to study and conduct research at renowned
universities in Germany and New York, I have been fortunate to learn from some of
the most brilliant minds in the field. This book is my way of giving back, offering
readers an in-depth look at the strategies and techniques that
have emerged from the experiences of my research.
Prompt engineering is an incredibly versatile and powerful tool with the potential
to revolutionize a wide range of industries. The key to unlocking this potential lies
in the art of crafting effective and tailored prompts. In this book, I present an
extensive collection of strategies and techniques designed
to help you harness the full power of AI in your endeavors.
Throughout my journey, I have been inspired and supported by mentors and
colleagues who share my passion for artificial creativity. It is my hope that, as you
read this book, you too will find inspiration in the stories and experiences I share. I
invite you to join me in exploring the fascinating world
of artificial intelligence and the incredible potential it holds for the future.
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PASSIVE INCOME WITH CHATGPT
How to Read This Book
Welcome to this comprehensive guide that aims to provide you with the necessary knowledge and tools to harness the power of AI and ChatGPT for building
passive income streams. With a focus on both foundational knowledge and
advanced techniques, this book is well-suited for individuals at any stage of
their learning journey, whether they are just starting out or have some
experience in the field. The content is designed to be accessible and beneficial to
everyone, ensuring that all readers can deepen their understanding.
The book is designed with a systematic approach to help you grasp the
fundamentals of AI and ChatGPT before diving into the specifics of prompt
engineering. The initial chapters serve as an introduction to the core concepts,
laying the foundation for your understanding of the subject matter.
Following the introductory section, the book delves into concrete guidelines,
tips, and tricks for prompt engineering. Each main chapter focuses on a specific
strategy for utilizing ChatGPT to generate passive income. These strategies are
presented as step-by-step instructions accompanied by practi- cal examples
and a wealth of sample prompts that you can apply directly to your projects.
The contents of this book are the culmination of my research, practical
application, observations, and evaluations. The strategies and techniques
presented here have been developed through trial and error, and they have
proven effective in various scenarios. However, it is important to keep in mind
that each application is unique and may require some customization. This guide
is meant to serve as a solid foundation to assist you in achieving
financial independence through Prompt Engineering and ChatGPT.
In some instances, you may notice overlapping content in the chapters. This has
been done intentionally, as each chapter is designed to be self-contained and
can be read independently of the others. This approach ensures that you have all
the necessary information within each chapter, allowing you to focus
on specific strategies as needed.
To get the most out of this book, I recommend starting with the introductory
chapters to build a strong understanding of AI and ChatGPT. Once you have a
2
PREFACE
solid grasp of the fundamentals, you can proceed to the main chapters that
explore various strategies for building passive income streams. You may
choose to read these chapters in any order, depending on your interests and
goals. Throughout the book, I encourage you to engage with the practical
examples and apply the sample prompts to your own projects. This hands-on
approach will help solidify your understanding and enable you to develop
your own effective prompts.
If you have any questions, suggestions or criticism, please feel free to
contact me at the following e-mail address: inquiries@theecomjet.com
3
2
Getting Started with ChatGPT-4 or older
versions
To begin using ChatGPT, follow these 3 Steps that covers account setup,
accessing the necessary websites, and understanding the different language
models available, both free and paid.
Step 1: Create an OpenAI Account
1. VisittheOpenAIwebsiteathttps://www.openai.com/
2. Click on the “Sign Up” button located in the top right corner of the
webpage.
3. Fillintherequiredinformation,suchasyourname,emailaddress,and
password, then click on the “Create Account” button.
4. Check your email inbox for a confirmation email from OpenAI and follow
the instructions provided to verify your account.
Step 2: Access the OpenAI Platform
1. GototheOpenAIPlatformwebsiteathttps://platform.openai.com/
2. Log in using the email address and password you provided during the
account creation process.
GETTING STARTED WITH CHATGPT-4 OR OLDER VERSIONS
3. Once logged in, you will have access to various resources, including
documentation, API keys, and more.
Step 3: Choose a Language Model
OpenAI offers several language models to choose from, depending on your
needs and budget. Here are the main two options. As explained in detail
later, I strongly recommend ChatGPT-4 especially due to its advancements
in language understanding and generation, the response quality and
consistency. I recommend you to compare the models independently and
determine which one adequately meets your specific requirements.
• GPT-4: A more powerful language model with capabilities but associated
with costs. Pricing details can be found at https://openai.com/pricing
• GPT-3: A predecessor to GPT-4, it offers a lower level of performance
compared to GPT-4 but is available for free.
• Youcanfindmoreinformationathttps://openai.com/product/gpt-4
5
3
Introduction to Artificial Intelligence
Brief history of AI
The evolution of artificial intelligence (AI) spans many years, driven by the
aspiration to develop machines capable of thinking and learning like
humans. AI has progressed significantly since its inception, and in this
chapter, we will explore its captivating history to help you better appreciate
the technology we have today.
The genesis of AI can be traced back to the 1940s and 50s, marked by the
work of pioneers like Alan Turing, who developed the Turing Test to
determine if a machine could exhibit intelligent behavior indistinguishable
from a human. Another pivotal figure in the field, John McCarthy, coined the
term “artificial intelligence” in 1956 during the renowned Dartmouth
Conference, assembling researchers to discuss AI’s potential.
Throughout the 1960s and 70s, AI research gathered momentum, characterized by the development of algorithms, programming languages, and
early AI systems. The ingenuity of researchers at that time laid the
foundation for the AI technologies employed today.
However, the initial enthusiasm surrounding AI waned during the 1980s and
90s due to limited computing power and funding. This period, known as the
“AI Winter,” saw a stagnation in the field. Nonetheless, AI experienced a
6
INTRODUCTION TO ARTIFICIAL INTELLIGENCE
resurgence in the late 90s and early 2000s with the advent of more powerful
computers, improved algorithms, and an influx of funding.
Entering the 21st century, the field of AI witnessed rapid advancements,
particularly in the subfields of machine learning and deep learning. The
development of neural networks, inspired by the human brain’s structure and
function, revolutionized AI and enabled machines to process vast amounts of
data, recognize patterns, and make predictions.
AI’s growing impact on various industries, from healthcare and finance to
entertainment and education, is undeniable. AI is no longer a distant dream; it
is an integral part of our daily lives, making tasks more manageable, efficient,
and even enjoyable at times.
One significant breakthrough in AI is the development of ChatGPT, the focus
of this book. ChatGPT, part of the larger GPT (Generative Pre-trained
Transformer) family, is an AI language model that can generate human-like
text based on a given input. This technology has opened up new possibilities
for communication, content creation, and, as we will explore in later
chapters, building passive income streams.
Key concepts and terminology in AI
To better understand the world of artificial intelligence (AI), it’s essential
to become familiar with the key concepts and terminology. In this chapter,
we will cover fundamental terms and provide a comprehensive overview of
the AI landscape.
Machine Learning
Machine learning (ML) is a subset of AI that enables computers to learn
from data without being explicitly programmed. This process involves
feeding a machine learning model with vast amounts of data and allowing it
to recognize patterns, make predictions, and improve its performance over
time.
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PASSIVE INCOME WITH CHATGPT
Deep Learning
Deep learning is a more advanced form of machine learning that utilizes
artificial neural networks to model complex patterns and representations.
These networks, inspired by the human brain, consist of multiple layers and
can learn from unstructured data such as images, audio, and text.
Artificial Neural Networks
Artificial neural networks (ANNs) are the backbone of deep learning. These
computational models mimic the human brain’s structure and function, allowing machines to process and analyze vast amounts of data with
remarkable accuracy.
Natural Language Processing
Natural Language Processing (NLP) is a subfield of AI that focuses on
enabling machines to understand, interpret, and generate human language.
NLP techniques are widely used in applications such as chatbots, sentiment
analysis, and machine translation.
Supervised and Unsupervised Learning
Supervised learning is a machine learning approach in which a model is
trained using labeled data, with each data point having a known output or
target. The model’s goal is to learn the relationship between input features
and output labels, enabling it to make accurate predictions on new, unseen
data.
In contrast, unsupervised learning involves training a model using unlabeled data, without any target outputs. The model must discover patterns,
relationships, or underlying structures in the data on its own.
8