Create unique subscriber behavior with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging subscriber behavior with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Creating an Opinion on Mobile-Specific Email Triggers for Automated Targeted Emails
How can I use mobile-specific email triggers to automate the sending of targeted emails based on subscriber behavior on mobile devices.
Using A/B Testing to Optimize Email Dynamic Content Based on Subscriber Behavior and Preferences
How can I use A/B testing to optimize my email's use of dynamic content based on subscriber behavior and preferences?
Generate an Opinion about Email Triggers and Personalized Messages
How can I use email triggers to send personalized messages based on subscriber behavior?
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.