Create unique market-related content with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging market-related content with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content. Whether you are looking to write about stock markets, marketing strategies or market research, ChatGPT can help you create compelling and informative content that resonates with your target audience. With its advanced natural language processing capabilities, ChatGPT can generate content that is not only grammatically correct but also highly readable and informative. So, why wait? Get started today and create market-related content that stands out with ChatGPT.

Strategies for Overcoming Price Objections During High Ticket Sales Pitches

What are some strategies for overcoming objections related to price during a high ticket sales pitch?

Using ChatGPT to Measure and Track Performance as a High-Ticket Closer: Key Metrics to Focus On

"How can I measure and track my performance as a high-ticket closer, and what are some key metrics to focus on?"

How to Become a Top High-Ticket Closer: Resources and Training Programs

"What are some resources and training programs that can help me to become a top high-ticket closer?"

Generating an Opinion about High-Ticket Closing Strategies Using Data and Analytics

"How can I use data and analytics to improve my high-ticket closing strategy?"

Common Mistakes to Avoid When Closing High Ticket Offers

What are some common mistakes to avoid when closing high ticket offers?

How to Build Trust and Credibility With Potential Clients Before Making a High Ticket Offer

How can I build trust and credibility with potential clients before making a high ticket offer?

How to Use the Power of Contrast Principle to Close a High Ticket Offer

How can you use the "power of contrast" principle to close a high ticket offer?

Using the Reciprocity Principle to Close a High Ticket Offer

How can you use the "reciprocity" principle to close a high ticket offer?

Using the Pain Points Technique to Close a High Ticket Offer

How can you use the "pain points" technique to close a high ticket offer?

Closing a High Ticket Offer with 'Personalization' Technique

How can you use the "personalization" technique to close a high ticket offer?

Understanding Customer Budget When Selling a High Ticket Offer

What is the importance of understanding the customer's budget when selling a high ticket offer?

Using Storytelling to Sell a High Ticket Offer

How can you use storytelling to sell a high ticket offer?

Strategies for Managing Data Effectively in the Office

What are some strategies for managing data effectively in the office?

Creating a Plan for Staying Up-to-Date With Industry Developments and Trends

How can I create a plan for staying up-to-date with industry developments and trends?

Best Practices for Making Decisions in the Office

What are some best practices for making decisions in the office?

How to Improve Email Communication and Collaboration

What are some ways to improve email communication and collaboration?

Creating a Plan for Office Resource Allocation and Utilization

How can I create a plan for office resource allocation and utilization?

Strategies for Managing Office Resources Effectively

What are some strategies for managing office resources effectively?

Creating a Plan for Office Branding and Reputation Management

How can I create a plan for office branding and reputation management?

Ways to Reduce Office Crisis Impact and Recovery Time

What are some ways to reduce office crisis impact and recovery time?

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.


What is prompt engineering

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.


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.
play background gpt3

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.