ChatGPT
I’m checking your written content to make sure it meets Google guildlines.
- Open ChatGPT promt
- Type in the following prompt: Summarize the following into the most to least important criteria” past this content into the prompt: past this for information content
- Type in the following prompt: Evaluate the following content based on these criteria from a scale of 1-10: [past in your content]
- See results and make changes
Tip: you can use this for any Google Guildlines
OpenAI Commands
- Give me 50 longtail keywords to target on a blog about [Keywords].
- Create an article outline [Keywords]
- I need a catchy, clickbait title for [Keywords]
- The title must start with [Keywords]
- Write a [e.g., 150] words introduction for [Keywords]
- Give me an FAQ section for a blog post called [“Keywords”]
- Provide a list of semantically relevant topics that are missing for this:
- Provide the 10 nearest semantically associated questions to [“Keywords”]
- Rewrite the following with a positive sentiment: [Keywords]
- Create schema markup for the same article
- Here are possible clusters of keywords based on relevancy [Keywords]
- Getting the keyword snippet: Answer the following in an NLP format: [Keywords].
- Promote an article by email: Write an email with the subject line to promote my article on [Keywords].
- What is this {Function name} doing?
- Raise an exception if the authentication is wrong.
- Rewrite this function following python conventions {enter function}
- Rewriting code using idiomatic constructs {Enter coder}
- Simplify this complex code {Enter code}
- Write a few test cases to ensure this {Function name} is correct.
- What is the more efficient way to implement {function name}
- Translate this code from javascript to python {Enter code}
- write the documentation for a piece of code {Enter code}
- Find the big in the following function that finds {Enter the problem} and {enter the function}
- What is the function for {enter problem}
- What will be the following code output {Enter the code}
- I want you to act as a javascript console. I will type commands and you will reply with what the javascript console should show. I want you to only reply with the terminal output inside one unique code block, and nothing else.
- {provide details of an app} come up with creative ways to improve its user experie{Provide information on}how data is stored and shared, and it will be your job to develop strategies for protecting this data from malicious actors. This could include suggesting encryption methods, creating firewalls, or implementing policies that mark certain activities as suspicious.
- Your job is to test the functionality and performance of the software to ensure it meets the required {enter how requirements} standards. {enter code}
- The database contains tables named “Products”, “Users”, “Orders” and “Suppliers.” I will type queries, and you will reply with what the terminal shows. I want you to reply with a table of query results in a single code block.
- I will provide you with basic steps of an app functionality {enter steps} and you will come up with an engaging article on how to do those basic steps.
- {enter python code} to execute this and give only output .
- I would like you to act as an SVG designer. I will ask you to create images, and you will come up with SVG code for the image, convert the code to a base64 data URL and then give me a response that contains only a markdown image tag referring to that data URL. Do not put the markdown inside a code block.
- I will provide some specific information about web app requirements, and it will be your job to develop an architecture and code for developing a secure app with Golang and Angular. {enter web app requirements}.
- I want you to act as a Senior Frontend developer. I will describe a project details you will code project with these tools: Create React App, yarn, Ant Design, List, Redux Toolkit, createSlice, thunk, axios. You should merge files in single index.js file.
- {type commands} reply with what the terminal should show. I want you to only reply with the terminal output inside one unique code block.
- I’m building a new frontend app, and want to compare React.js with Vue.js. Please propose the scope for a simple frontend app, and generate two code bases that fulfill that scope, one using React.js and another using Vue.js. Please redact clear instructions for me to run both apps on my local machine.
- Regenerate the code snippet below, but please include comments to each line of code {enter code}
- Write test cases for the main edge cases that could happen to the below code snippet. First outline the test cases you’ll write. Second, write the test cases in javascript using the Jest framework. {enter code}
- Generate documentation for the code below. You should include detailed instructions to allow a developer to run it on a local machine, explain what the code does, and list vulnerabilities that exist in this code. {enter code}
- Rewrite the code below following the Google style guidelines for javascript. {enter code}
- Please find the bug in the code below. This is what it should be doing:
- 1. Fetch the response from the stripe API for payments received last month.
- 2. Parse the response json into an arrays with all transactions.
- 3. Traverse the array to group all transactions from the same entity, and sums their amounts. The result is stored in a different array.
- 4. Sort the resulting array by amount received, descending.
- 5. Write to the console all payments, sorted by date, with money amounts rounded up to the integer. {enter code}
- Generate code in javascript to solve the following challenge: ● We have one 2D array, filled with zeros and ones. ● We have to find the starting point and ending point of all rectangles filled with 0. ● It is given that rectangles are separated and do not touch each other however they can touch the boundary of the array. ● A rectangle might contain only one element. Example array: Input = [ [1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 0, 0, 0, 1], [1, 1, 1, 0, 0, 0, 1], [1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1] ]
Improve Content Writing with Chianed Prompting
- Setup
– Act as X
– Audience is Y
– Style/Tone is Z - Topic
- Subtopics
- Outline
– Wiki Prompt Method (ask it to generate a Wikipedia outline)*
– Iterative Expansion
– Intervaive Refinement - Self-Review
- Refinement
*These AI models were trained on Wikipedia data.
Data Journalism Application
- Past in your content/data
– What problems do you see
– What insights do you see
– What outliers do you see
– What can be discovered in the data
– Methodology suggestions
– Data cleaning (Location, Address, Datas)
– Data analysis
– Data enhancement (personal Generation) - Piching journalist: “Please assume the role of an expert public relations professional experinced in pitching stories to relevant journalists. Use the following story being pitched, recommend 5-10 unique journalistic beats that would be appropriate for pitching article: [past article]”
– “Please assume the role of a journalist or professional PR. In the followign articles, what are the most newsworthy takeaways? Please present your answer as bulleted list: [past article]”
– “Based on the article and the takeaways you came up with in the previous step, please write a sample pitch to a journalist with the following attributes: [insert bulleted list of what you know about the journalist]”
– “How could the following pitch be improved? I’d like to be more concise, more persuasive, more friendly, more compelling, and better personalized. Please provide a bulleted list. [inser pitch].
– Please rewrite the pitch so that it fits your recommendations.
– I did not like this, it’s still too long for me, so I asked it to refine again, this time to prioritize conciseness.
– Once you like the pitch: “Please write a variation of the previous pitch. Do not plagiarize, make sure it is unique”
Tips Using OpenAI
- Use NotePad instead of Word.
- Shortcut command to replace a word in NotePad is CTRL + H
- Press Release: “Create a press relase on the following content:”
source credits: Pratham Kumar, Matt Diggity, Kristin Tynshi