Create unique reader with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging reader with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

Using Storytelling in Copywriting to Connect with the Reader

How can I use storytelling in my copywriting to connect with the reader?

storytelling copywriting reader

Create a Marketing Campaign Outline Using the Features-Advantages-Benefits Framework

Preview

Write a marketing campaign outline using the 'Features-Advantages-Benefits' framework that highlights the [features] of our [product/service] and explains how these [advantages] can be helpful to [ideal customer persona]. Outline the [benefits] of our product and how it can positively impact the reader.

marketing campaign outline features advantages benefits product service helpful ideal customer persona benefits positively impact reader

Create a Content Piece Using the Inverted Pyramid Framework

Create a [type of content] using the Inverted Pyramid framework that starts with the most important [information] and then moves on to less important [details], so that readers can quickly get the main points.

content create inverted pyramid framework important information details readers main points

Create a Marketing Campaign Outline Using the 'Question-Answer' Framework

Write a marketing campaign outline using the 'Question-Answer' framework to start with a [question] relevant to [ideal customer persona] and provide a thorough and informative answer. Explain the importance of the question and why it matters to the reader.

marketing campaign question-answer customer persona importance reader

Creating an Effective Book Cover with ChatGPT Tips and Templates

How to make a book cover: A book cover can be a great way to attract readers and showcase your work, and ChatGPT can provide tips and templates for creating an effective book cover.

book cover chatgpt tips templates effective readers showcase

What is “prompt engineering”?

A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”

![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k

Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.

Going from beginner → advanced prompt engineer

As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how

Spend time with the tools

The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.

Become a prompt researcher instead of engineer

If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?

Become a prompt researcher instead of engineer

The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.