Create unique whale with ChatGPT
Search and store tool for Midjourney Prompt
Create unique and engaging whale with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Whales in a Mystic Sky

Create an otherworldly scene that features majestic whales soaring through a sea of clouds high above a mystical landscape. The whales should have a fantastical quality, with iridescent scales, ethereal horns or wings, or other magical adornments. The landscape should be equally enchanting, with towering mountains, crystal-clear waterfalls, and ancient ruins peeking out from the mist. The lighting...
Generating an Opinion about the Phrase 'Have a Whale of a Time'
Is it true that I should use the phrase "have a whale of a time" when I'm upset?
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.