Create unique Present with ChatGPT

Search and store tool for Chat GPT Prompt

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

Generating an Opinion about a Successful Copywriting Campaign Utilizing the 'What's in it for the Present' Approach

Can you provide an example of a successful copywriting campaign that utilized the power of the 'what's in it for the present' approach?

copywriting successful campaign what's in it for the present

How ChatGPT Can Help Create an Inclusive Marketing Campaign Outline

Preview

Write a marketing campaign outline that avoids relying on stereotypes or typical examples when targeting [ideal customer persona]. Use the representativeness heuristic to consider the full range of information and avoid biases and errors in judgment. Use data and statistics to support the value of considering the full range of information.

marketing campaign stereotypes ideal customer persona representativeness heuristic data statistics biases errors in judgment

Using the Representative Heuristic to Create a Marketing Campaign to Appeal to Your Ideal Customer Persona

Preview

Write a marketing campaign outline using the Representative Heuristic to appeal to the [ideal customer persona]. Identify the prototype or stereotype that represents the audience's expectations and experiences, and create messaging and offers that are similar to this prototype in order to increase conversion rates.

marketing campaign representative heuristic ideal customer persona messaging offers conversion rates

Generating Sentences Using the Present Perfect Tense

Can you provide three examples of sentences using the present perfect tense to describe past events that are still relevant in the present?

present perfect tense sentence structure grammar english language

Improving Public Speaking Skills

How can I improve my public speaking skills?

public speaking communication presentation confidence

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.