Create unique Y with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging Y with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Identifying Inefficiencies in Database Schema for Query Performance Optimization
Identify any inefficiencies in the given database schema that may be affecting query performance: [schema description].
Optimizing SQL query performance by replacing subqueries with JOINs
Rewrite the following SQL query to use JOINs instead of subqueries for improved performance: [SQL query].
Analyzing SQL Query for Potential Bottlenecks: A Guide to Optimize Database Performance
Analyze the given SQL query for any potential bottlenecks: [SQL query].
How to Create a Quick-Start Guide for [Language] Library with Code Snippet for Easy Setup
Produce a quick-start guide for using the following [language] library: [code snippet].
Keyword Extraction: Extracting Meaningful Words from Text Sample
Perform keyword extraction on the following text: [text sample].
How to Identify the Main Topic(s) of Text with Opinion Generation
Identify the main topic(s) of the following text: [text sample].
How to Extract Named Entities from Text Sample: Step by Step Guide
Extract named entities from the following text: [text sample].
Evaluating Code Modularity and Maintainability: A [Language] Code Snippet Analysis
Evaluate the modularity and maintainability of the given [language] code: [code snippet].
Analyzing Coding Style for [Language]: [Code Snippet], Tips and Techniques
Analyze the given [language] code for adherence to [coding style guidelines]: [code snippet].
Reviewing Language Code for Security Vulnerabilities
Review the following [language] code for any security vulnerabilities: [code snippet].
How to Check for Race Conditions and Concurrency Issues in [Language] Code: A Guide
Check for any race conditions or concurrency issues in the given [language] code: [code snippet].
How to Find and Fix Memory Leaks in [Language] Code
Find any memory leaks in the following [language] code and suggest fixes: [code snippet].
How to Prevent Errors in Code: Analyzing and Improving [Language] Snippets
Analyze the given [language] code and suggest improvements to prevent [error type]: [code snippet].
How to Write a Script Using a Library/Framework with Given Requirements
Write a [language] script to perform [task] using [library/framework] with the following requirements: [requirements list].
How to Generate Boilerplate Code for a Class/Module/Component with Specific Functionality
Generate a boilerplate [language] code for a [class/module/component] named [name] with the following functionality: [functionality description].
Improving Brand Storytelling Strategy | Narrative Marketing Analysis and Recommendations
Please analyze my brand storytelling and narrative marketing metrics and provide recommendations for how I can improve my strategy.
Using Storytelling Formats for Memorable Brand Experience
How can I use different storytelling formats such as blog posts, videos, podcasts, or interactive content to convey my brand's story and create a memorable brand experience?
Crafting a Compelling Brand Narrative that Resonates with Your Target Audience Through Alignment and Positioning
What is the best way to identify and craft a brand narrative that aligns with my brand's mission, values, and positioning, and resonates with my target audience's needs and aspirations?
Effective Ways to Use Influencer Marketing and Guest Blogging to Increase Traffic and Conversions
What are some effective ways to use influencer marketing or guest blogging to increase content reach and drive traffic and conversions?
Improving Content Distribution and Promotion Strategy: Metrics Analysis and Recommendations
Please analyze my content distribution and promotion metrics and provide recommendations for how I can improve my strategy.
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.