Create unique mistakes with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging mistakes with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Top 5 Common SEO Mistakes and How to Avoid Them

Make a list of the top five common SEO mistakes and how to avoid them.
Analyzing a Code to Find Mistakes
Help me find mistakes in the following code <paste code below>.
Analyzing an Essay for Mistakes and Corrections
Point out clearly the mistakes in this essay and how to correct them: [insert your essay]
Common Mistakes to Avoid When Closing High Ticket Offers
What are some common mistakes to avoid when closing high ticket offers?
Common Resume Mistakes and How to Avoid Them
What are some common resume mistakes, and how can I avoid them?
Common Mistakes to Avoid When Optimizing Emails for Mobile Devices
What are common mistakes to avoid when optimizing emails for mobile devices?
Common Mistakes People Make When Sending Commercial Emails
What are some common mistakes people make when sending commercial emails?
Avoiding Common Mistakes in Email A/B Tests
What are some common mistakes to avoid when conducting email A/B tests?
Common Mistakes to Avoid When Selling a High Ticket Offer
What are some common mistakes to avoid when selling a high ticket offer?
Common Job Application Mistakes and How to Avoid Them
What are some common job application mistakes, and how can I avoid them?
Common Mistakes to Avoid in Copywriting
What are some common mistakes to avoid in copywriting?
Top Five Common SEO Mistakes and How to Avoid Them
Make a list of the top five common SEO mistakes and how to avoid them.
Ways to Avoid Common Email Mistakes
What are some ways to avoid common email mistakes?
Common Copywriting Mistakes to Avoid
What are some common copywriting mistakes to avoid?
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.”


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.