Create unique audience with ChatGPT

Search and store tool for Chat GPT Prompt

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

Creating a Marketing Campaign Outline with the Law of Diminishing Returns in Mind

Preview

Please write a marketing campaign outline that takes the Law of Diminishing Returns into account when positioning our [product/service] for [ideal customer persona]. Consider how to optimize the value we offer for the cost, and how to communicate this value effectively to the target audience.

marketing campaign outline law of diminishing returns optimize value cost communicate target audience

How to Design for Mobile Devices: Avoiding Common Mistakes

How can I avoid using designs that do not take into account the target audience and their behavior on mobile devices?

mobile design user behavior user experience target audience

Collaborating with Other Content Creators on Twitter to Reach New Audiences

How can I collaborate with other content creators on Twitter to reach new audiences?

twitter collaboration content creators audience reach

Create a Poem or Song for a Target Audience Explaining a Topic of Choice with Distinct Characters and Punctuation

Create a poem or song for <target audience> that explains <topic of your choice>. The song should have a distinct character and traits for each participant, as well as punctuation such as.,!?, and so on. Make it last as long as possible.

poem song target audience topic distinct characters punctuation

Creating a Strong Connection with Your Audience Through Emotional Appeals in Copywriting

How can I use emotional appeals in my copywriting to create a strong connection with my audience?

emotional appeals copywriting strong connection audience

How to Use Social Proof in Copywriting to Build Trust with Audience

How can I use social proof in my copywriting to build trust with my audience?

social proof copywriting trust audience

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.