Create unique Email Deliverability with ChatGPT

Search and store tool for Chat GPT Prompt

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

Avoiding Designs That Do Not Take Into Account Mobile-Specific Spam Filters and Email Deliverability

How can I avoid using designs that do not take into account the mobile-specific spam filters and email deliverability?

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Best Practices for Email Deliverability in International Email Campaigns

How can I use email deliverability best practices for international email campaigns?

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Using Email List Validation to Improve Email Deliverability

How can I use email list validation to improve my email deliverability?

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Email Deliverability Best Practices for Email Automation

How can I use email deliverability best practices for email automation?

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Using Email Deliverability Best Practices for Trigger-Based Emails

How can I use email deliverability best practices for trigger-based emails?

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Understanding Email Deliverability Monitoring Tools and Measuring Email Deliverability Rate

How can I use email deliverability monitoring tools to track and measure my email deliverability rate?

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Best Practices for Email Deliverability to Avoid Blocked Emails

How can I use email deliverability best practices to ensure my emails are not blocked by government or institutional email filters?

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How to Use Email Deliverability Best Practices to Avoid Email Blocks

How can I use email deliverability best practices to ensure my emails are not blocked by anti-virus or anti-malware software?

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Improving Email Deliverability with Email Deliverability Experts

How can I use email deliverability experts to improve my email deliverability?

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How to Use Email Suppression Lists to Improve Email Deliverability

How can I use email suppression lists to improve email deliverability?

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Improving Email Deliverability Through Email List Hygiene

How can I use email list hygiene to improve email deliverability?

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Using Email Deliverability Data to Track and Measure Email Campaign Success

How can I use email deliverability data to track and measure the success of my email campaigns?

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Improving Email Deliverability with SPF, DKIM, and DMARC

How can I use email authentication protocols like SPF, DKIM, and DMARC to improve email deliverability?

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How Can I Use IP Warming to Improve Email Deliverability?

How can I use IP warming to improve email deliverability?

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How to Use Email Deliverability Best Practices to Avoid Firewall Blocks

How can I use email deliverability best practices to ensure my emails are not blocked by firewalls or other security measures?

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Generating an Opinion on Email Deliverability Best Practices

How can I use email deliverability best practices to ensure my emails are formatted correctly for all email clients?

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Best Practices for Email Deliverability and Accessibility for People with Disabilities

How can I use email deliverability best practices to ensure my emails are accessible for people with disabilities?

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Optimizing Email Deliverability for Mobile-Friendliness

How can I use email deliverability best practices to ensure my emails are mobile-friendly?

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Creating an Opinion about Email Deliverability Strategies for Promotional Inboxes

How can I use email deliverability strategies to reach the promotional inbox?

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Using Email Deliverability Case Studies to Learn from Others' Successes and Failures

How can I use email deliverability case studies to learn from others' successes and failures?

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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.