Create unique company with ChatGPT

Search and store tool for Midjourney Prompt

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

Broken Apple symbol: A crime scene

Preview

Apple company symbol black, 3d, realistic. broken in half at a crime scene on a dark street

apple company opinion crime scene

Write a Press Release for [Company Name] Partnering with [Partner Company Name]

Preview

Write a press release for [company name] partnering with [partner company name] to release a [product or service name] starting at [price]. Speak in smooth, elegant tones emphasizing [unique selling points] in a humblebrag sort of way.

press release company name partner company product or service price unique selling points humblebrag

Creating an Opinion About Cold Email Ideas to Establish Trust and Credibility

Preview

I'm looking for a cold email idea that will establish trust and credibility with my [ideal customer persona] by showcasing the expertise and professionalism of my [company/brand].

cold email trust credibility ideal customer persona company brand expertise professionalism

Creating a Strong Company Value Proposition: Best Practices

What are best practices for creating a strong company value proposition?

company value proposition best practices strong company creating company value

Benefits of Using a Digital Asset Management Tool

What are the benefits of using a digital asset management tool to organize and share company assets?

digital asset management tool organize share company assets

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.