The best way to get up and running with ChatGPT is by using a cheat sheet. Check out our ChatGPT Cheat Sheet.

In ChatGPT prompt engineering, various elements play a critical role in shaping the user's prompt and obtaining the desired output. These elements are role, result, intent, context, and constraint.

Let's define each of them and provide an example that illustrates their use.

• Role: The role defines the specific function or identity that the ChatGPT model is expected to assume during the conversation. It helps set the tone and expertise level expected from the model's responses.
• Result: The result refers to the desired outcome or specific information the user seeks to obtain from the interaction with ChatGPT. This guides the model in providing relevant and useful responses.
• Intent: Intent represents the user's goal or the purpose behind the interaction with the ChatGPT model. It helps the model understand the user's needs and respond accordingly.
• Context: Context refers to any background information or situational details that are relevant to the conversation. Context helps the model understand the broader scenario and provide appropriate responses that fit the situation.
• Constraint: A constraint is a condition or limitation placed on the model's response. It ensures that the output adheres to specific requirements or avoids certain topics, styles, or content.

Suppose you're seeking advice on improving coding practices, specifically focusing on C#. Here's how each part can be framed:

Here’s how that breaks down:

• Role: Senior software engineer
• Result: Guidance to improve Python coding practices
• Intent: To receive specific and actionable tips to enhance Python code efficiency and readability
• Context: The user is working on a large-scale data processing project
• Constraint: The advice should contribute to both the performance and cleanliness of the code, catering to the requirements of readability and efficiency in a large-scale project setting.

By specifying the role, result, intent, context, and constraint in the prompt, you can guide ChatGPT to deliver a more relevant and targeted response, addressing your specific needs and expectations.

Figure: Paste this perfect prompt generator into ChatGPT to make sure you include all of the elements

Video: This Will Make You Better than 99% ChatGPT Users (6 min)

As ChatGPT becomes increasingly popular, users are discovering the most effective ways to prompt the AI for different scenarios. One way to compile this information is by putting it in easy to read graphics called cheat sheets. Cheat sheets can spark ideas that you would not have otherwise thought of!

Figure: SSW ChatGPT Cheat Sheet - Download here

Figure: SSW ChatGPT Cheat Sheet For Developers - Download here

Here are examples of the prompting techniques on the cheat sheet:

Give a role

ChatGPT can be given a role to understand the context of what it will need to do/know.

See some examples below:

Some dos ✅

• For complex tasks, use: "ask any questions needed for context"

• Tell it to "be concise" or "use bullet points"

• Set the tone for responses (e.g. professional, informal, funny)

Some don’ts ❌

• Don't ask leading questions. Don’t anchor ChatGPT.

• Don’t share confidential information with ChatGPT

According to Forbes, any data shared with ChatGPT could end up being leaked since the data becomes part of a collective database.

The anatomy of a prompt - 5 prompts in 1 🫀

It’s important to consider what a prompt is made up of. Here’s an example that breaks down the different components of a good prompt:

• Role - You are a Software Developer.
• Result - Create 5 email subjects.
• Context - The email is to inform all the developers about a UX problem with search.
• Intent - The goal is to get them to critique my YouTube video.
• Constraint - Subject < 50 characters.

For more on this prompt structure, see: Do you know the fundamentals of Prompt Engineering?

Chain your prompts

Chain prompting is the technique of guiding GTP's responses by asking a series of related questions or prompts, building upon the previous answers to obtain more coherent and relevant information.

For an example on this, see: Do you use chained prompting?

ChatGPT is an AI language model developed by OpenAI that is considered generally safe due to the implementation of various security measures, data handling practices, and privacy policies. However, users should be aware of potential risks and follow best practices when using the platform.

Open AI is a third-party platform and you should not make assumptions about how they process or retain data. They will also likely be able to change their policies from time to time so even if something is stated today it might be different tomorrow. Confidential information should not be submitted to Chat GPT.

Key points:

• Security measures by OpenAI:

  • Encryption
  • Access controls
  • External security audits
  • Bug bounty program
  • Incident response plans

• Responsible data handling practices by OpenAI:

  • Transparency about data collection purposes
  • Data storage and retention policies (30 days)
  • Controlled data sharing with third parties
  • Compliance with regional data protection regulations
  • Respecting user rights and control over their data

• ChatGPT is not confidential:

  • All conversations are used as training data
  • Users should avoid sharing sensitive information

• Potential risks of using ChatGPT:

  • Data breaches
  • Unauthorized access to confidential information
  • Biased or inaccurate information generation

• Best practices for using ChatGPT:

  • Do not share or submit sensitive or confidential information on Chat GPT, ever
  • Review privacy policies of platforms using ChatGPT
  • Use anonymous or pseudonymous accounts
  • Monitor data retention policies

• Current regulations:

  • No specific regulations for AI systems like ChatGPT
  • Compliance with existing data protection and privacy regulations (e.g., GDPR, CCPA)
  • Proposed AI Act could become the first comprehensive regulation for AI technologies

Always exercise caution when using ChatGPT and avoid sharing sensitive information, as data retention policies and security measures can only provide a certain level of protection.

Ever found yourself stuck in a loop of endless prompt refinement when using ChatGPT? Sometimes getting your style of answer is tricky. By setting up custom instructions correctly, you can save hours of time.

Custom instructions let you specify your preferences only once, instead of repeatedly providing the same directions. The model will remember your instructions for every new chat you start.

Setup

To set up custom instructions:

1. Click on the three dots by your username
2. Select Custom Instructions

Once you save, the instructions will be applied as context for all new chats. You can always edit them later.

Assigning a specific role to ChatGPT can help guide the model's responses and ensure they align with the desired expertise or perspective. By providing a clear role, you can focus the generated output on the specific knowledge area or viewpoint you require.

Here are some tips for assigning roles to ChatGPT:

• Be explicit about the role you want ChatGPT to assume in your prompt
• Ensure the role is relevant to your question or request
• Consider the level of expertise or perspective needed for your desired response

By assigning a specific role to ChatGPT, you can guide the model's responses to better address your needs and provide information or assistance tailored to the desired expertise or perspective."

"Act as" vs "You are"

All the examples above are effectively "you are..."

When assigning a role to ChatGPT, both "Act as..." and "You are..." can work effectively, but they may yield slightly different results. It's essential to consider the context and the desired outcome when choosing the best approach.

"Act as...": This phrasing suggests that ChatGPT should pretend to be the specified role or character. It can yield more playful or creative responses, as the model might lean towards the idea of "acting" rather than genuinely being the character or expert.

"You are...": This phrasing is more direct and instructs ChatGPT to take on the specified role or character more seriously. It can result in more focused and accurate responses, as the model assumes the identity of the specified role or expert.

To find the best approach for your specific needs, it's a good idea to experiment with both phrasings and analyze the results. Each may work better in different contexts or for different types of questions, so trying both can help you determine which one is most effective for your particular use case.

Experimenting with different tones in your prompts can help you receive responses that match your desired communication style. By specifying the tone you want ChatGPT to use, you can ensure the generated output aligns with the context and audience of your request.

Here are some tips for using different tones in your prompts:

• Be explicit about the tone you want ChatGPT to adopt (e.g., formal, informal, humorous, or professional)
• Consider the context and audience when choosing the tone for your prompt
• Adjust your own writing style in the prompt to provide a clearer example of the tone you want

By using different tones in your prompts, you can tailor ChatGPT's responses to better fit the context and audience, resulting in more effective and engaging communication.

Sometimes, ChatGPT may require more context or clarification to provide a helpful response. Encouraging the model to ask questions when it needs more information can improve the quality of its answers and prevent misunderstandings.

Here are some tips for prompting ChatGPT to ask for more context:

• Invite ChatGPT to ask for clarification in the initial prompt if necessary
• Emphasize that it's OK to ask questions if the model doesn't have enough information
• Be prepared to provide additional details if ChatGPT requests them
• Consider adding "On each prompt, let me know roughly how many questions are left", to gauge if you want to answer all questions
• If you’re feeling lazy or short for time, you can even get it to only ask you multiple choice questions.

By encouraging ChatGPT to request more context when necessary, you can ensure that the model generates more accurate and helpful responses tailored to your specific needs.

Testing and iterating on your prompts is essential for achieving better results with ChatGPT. By evaluating the responses you receive and refining your prompts accordingly, you can fine-tune your questions and requests to elicit more accurate and useful answers.

Here are some tips for testing and iterating on your prompts:

• Analyze the responses you receive for relevance, accuracy, and completeness
• Identify areas where the response could be improved and adjust your prompt accordingly
• Experiment with different phrasings, keywords, or context to find the most effective prompt
• Don't be afraid to try multiple iterations to achieve the desired outcome

By testing and iterating on your prompts, you can improve the quality of ChatGPT's responses and ensure that you receive the information or assistance you're seeking.

Utilizing chained prompting can help you guide ChatGPT through a series of questions or tasks, resulting in more comprehensive and interconnected responses. By creating a sequence of related prompts, you can explore a topic in-depth or complete a multi-step task more effectively.

Here are some tips for using chained prompting:

• Break down your topic or task into a series of smaller, related prompts
• Maintain a logical flow between prompts, ensuring that each subsequent prompt builds on the previous one
• Provide context from previous prompts when necessary to help ChatGPT understand the connections between them

Example chained prompts:

Figure: Chained prompting for writing a blog post about time management tips

You can also use chained prompts for refining responses or getting more details. If the initial answer isn't sufficient, ask ChatGPT to expand upon or clarify its response, such as:

By using chained prompting, you can encourage ChatGPT to provide more comprehensive and interconnected responses that address your topic or task in a thorough and structured manner.

You can give ChatGPT examples of the type of output you want, including the format. Each example you feed it is known as a “shot”.

Understanding when to use 0-shot, 1-shot, or multi-shot prompts can help you get the most out of ChatGPT. These approaches allow the model to learn from different contexts, making it more likely to generate the desired output.

Here are some guidelines for using 0-shot, 1-shot, and multi-shot prompts:

0-shot prompts

Used when you want the model to generate a response without any examples. These prompts can be helpful for general questions or tasks where providing examples is unnecessary or could add confusion.

Use 0-shot prompts when you trust the model's general knowledge to provide a sufficient answer.

1-shot prompts

Provide a single example of the desired output, helping to guide the model's response. This approach can be useful when you need a specific format or style or when the task requires some level of guidance.

Use 1-shot prompts when you want to nudge the model in the right direction without overwhelming it with multiple examples.

Example 1-shot prompt:

Figure: 1-shot example - providing a single example of translation

Multi-shot prompts

Offer multiple examples, allowing the model to learn from various instances. These prompts can be beneficial when dealing with complex tasks, where providing a range of examples helps the model better understand the desired outcome.

Use multi-shot prompts when a single example might not be sufficient for guiding the model or when you want to demonstrate a pattern or trend.

Example multi-shot prompt:

Figure: Multi-shot example - providing multiple examples of translations

By knowing when to use 0-shot, 1-shot, or multi-shot prompts, you can optimize your interactions with ChatGPT and receive more accurate and tailored responses.

Introducing a critical agent can help refine the output generated by ChatGPT. By asking the model to critique its own responses and revise them based on the feedback, you can improve the overall quality and usefulness of the information or assistance you receive.

Here are some tips for introducing a critical agent:

• Make it clear that you want ChatGPT to critique its own output
• Specify the aspects you want the model to focus on when evaluating its response
• Encourage the model to make revisions based on the critique

Figure: Introducing a critical agent to refine the generated output

By introducing a critical agent, you can ensure that the model not only generates content but also reviews and refines it, leading to more polished and high-quality responses.

Have you ever received an output from ChatGPT and wondered if it could be improved, but you don't have specific complaints? Reflexion (spelled with an 'x', not a 'ct') is way to improve the output from ChatGPT by having ChatGPT critique itself.

What is Reflexion?

Think of Reflexion like a self-check for your computer's "brain" (the Large Language Model or LLM). Just like you might double-check your work before submitting it, Reflexion lets the computer double-check its own answers. This helps make those answers better each time.

Figure: Why 'Reflexion' is a proper noun as per the MIT, Princeton, and Northeastern research

Imagine you're baking a cake. The first time you try, it might not be perfect. Maybe it's too dry or lacks flavor. You taste it, figure out what went wrong, and try again. That's what Reflexion does for computer-generated answers. It helps the computer "taste-test" its own work, so the next cake/answer is even better.

Why is Reflexion important?

Reflexion takes an LLM into a more nuanced and iterative approach to problem-solving, which closely mirrors the human cognitive processes. It asks the LLM to evaluate its output, which optimizes the results for accuracy.

How to do it

1. Initial prompt: Start by asking the LLM to complete a task.
2. Reflexion prompt: Ask the LLM to rate its own output and provide recommendations for improvement to your prompt.
3. Iterate: Make adjustments to your next prompt based on the LLM's feedback and repeat the process.
4. Contextual Testing (optional): Once satisfied, test the improved prompt in a new chat to remove any lingering biases.

Iteration - Manual Edits vs Automatic Edits

ChatGPT is great at giving recommendations for improvement, but sometimes it doesn't apply them very well. You can always apply some of the recommendations manually and feed your new version back in.

In the good example above, after Prompt #2, you could update the recipe yourself and change Prompt #3 to say to evaluate the new version.

If the recommendation is something logical and systematic like changing "raisins" to "dates" then ChatGPT will probably do a good job.On the other hand, if it is something more abstract, then it may not do the best job.

Bonus - Comparative evaluation

You can also use Reflexion to help make decisions by asking the LLM for multiple options and then using Reflexion to assign scores and critical evaluations to each option. These scores will make it easier to decide on the best approach. See the pros and cons rule - https://ssw.com.au/rules/pros-and-cons-and-ratings/

See more at - https://newatlas.com/technology/gpt-4-reflexion/

Generating multiple responses from ChatGPT and selecting the most suitable one(s) can lead to better overall results. By comparing different outputs, you can choose the response that best aligns with your needs and objectives.

Here are some tips for using prompts to generate multiple outputs:

• Experiment with different prompt variations to elicit a range of responses
• Use settings like temperature and max tokens to control the randomness and length of the generated responses
• Evaluate the generated responses based on relevance, accuracy, and usefulness for your specific use case
• If none of the responses are satisfactory, consider refining your prompt and trying again

Figure: Prompt used to generate multiple outputs

Here is the potential response from ChatGPT:

By using prompts to generate multiple outputs, you can evaluate and select the best response(s) that meet your requirements and enhance the overall quality of the information or assistance you receive from ChatGPT.

By getting ChatGPT to think through its answers step by step, you can receive more logical and coherent responses that break down complex topics or tasks into easily understandable components. This is especially useful for mathematical questions.

Request that ChatGPT thinks through its answer with you. It's similar to telling a maths student to "show their working".

• Add the magic phrase "Let's think step by step"
• This is known as Zero shot chain of thought prompting
• If you're unsure about a ChatGPT correction, ask "I'm not sure if XYZ is right? Can you explain it to me?". It might correct itself if it's wrong
• Ask "Why do you believe that?", "Can you explain why do you think that?", "Can you give me steps on how you got here?", etc. to get an explanation for the AI's reasoning

Imagine you're using ChatGPT and you find that the model's answers lack depth or reasoning. You're not alone. Many users experience this, especially when asking complex questions. Tree of Thought (ToT) prompting can be a game-changer in such scenarios.

Note: If you're on GPT Plus, you can use this custom GPT: Tree of Thought Problem Solver.

What is Tree of Thought Prompting?

Tree of Thought Prompting is a technique that enhances the reasoning abilities of Large Language Models like ChatGPT. It allows the model to explore multiple branches of reasoning and self-correct as it goes along.

Think of ToT prompting as a brainstorming session among experts. Each expert represents a branch of reasoning. They share their thoughts, evaluate each other's reasoning, and reach a consensus.

Why is it Useful?

• Enhanced Reasoning - ToT prompting improves the model's ability to answer complex questions
• Self-Correction - The model can identify and rectify its errors autonomously
• Single Prompt - ToT can run from start to finish without any user interaction.

Use ToT prompting when you need more reasoned and nuanced answers from ChatGPT, especially for complex queries.

How to Implement a Simple ToT Prompt

The basic structure of a ToT prompt involves asking the model to imagine multiple experts debating the question. Each expert shares one step of their reasoning before moving on to the next.

Examples

Defining your intent clearly in a prompt is crucial for helping ChatGPT understand your goal and provide an appropriate response. When the model has a clear understanding of what you're asking, it's more likely to deliver the information or assistance you're seeking.

Here are some tips for defining your intent in prompts:

• Be explicit about what you want ChatGPT to do or the type of information you're seeking
• If your request has multiple components, break them down into separate parts within the prompt
• Ensure your intent is evident even to someone with minimal background knowledge

By always defining your intent in your prompts, you can improve the quality of ChatGPT's responses and increase the likelihood of receiving the information or assistance you need.

When crafting prompts for ChatGPT, it's essential to make them concise and clear. A well-written prompt enables the model to understand your request more accurately and deliver a helpful response. Keeping your prompts brief and focused can help prevent confusion and ensure that you receive the information or assistance you're seeking.

Here are some tips for creating concise and clear prompts:

• Use simple and direct language
• Avoid using jargon or overly complex terms, unless necessary
• Be specific in your request or question, but don't overload the prompt with too much information
• Ensure your prompt is easily understandable, even to someone with minimal background knowledge

By using focused and easily understandable language, you're more likely to receive a relevant and useful response from ChatGPT.

When interacting with ChatGPT, it's important to use natural, conversational language in your prompts. This helps the model generate more accurate and human-like responses. ChatGPT is designed to understand and respond to prompts that resemble human conversation, so crafting your prompts in a natural way can lead to better results.

Here are some tips for using natural language in your prompts:

• Write as if you're speaking to a person rather than a machine
• Use complete sentences, proper grammar, and punctuation
• Feel free to use contractions, idiomatic expressions, or colloquialisms, as long as they don't make the prompt ambiguous or confusing
• Keep your tone friendly and conversational

By using natural language in your prompts, you can improve the quality of ChatGPT's responses and create a more engaging conversational experience.

Choosing the right verbs in your prompts can significantly impact the results you get from ChatGPT. Verbs convey the desired action or result, and using appropriate verbs can help the model understand your intent more clearly.

Here are some tips for selecting the right verbs in your prompts:

• Use clear, specific verbs that accurately describe the action or information you're seeking
• Avoid using ambiguous verbs that could be interpreted in multiple ways
• Consider the level of detail or depth you want in the response and choose verbs accordingly

By paying attention to your verbs and choosing them carefully, you can guide ChatGPT to generate more relevant and targeted responses that better meet your needs.

Leading questions can result in biased or unhelpful answers from ChatGPT. To obtain objective and useful responses, it's important to ask open-ended, unbiased questions that allow the model to explore a topic without being influenced by the phrasing of the prompt.

Here are some tips for avoiding leading questions:

• Use neutral language that doesn't imply a specific answer or point of view
• Focus on asking questions that encourage exploration and elaboration
• Avoid making assumptions or expressing your opinions within the question itself

By avoiding leading questions, you can ensure that ChatGPT provides objective and informative responses that are more useful and trustworthy.

GPT models utilize "tokens" as their smallest units of text. These tokens can be as small as a single character, like "a," or as large as a word, such as "apple." Interestingly, tokens can also represent parts of a word.

For instance, in GPT's perspective, the word "unhappiness" could be tokenized into three parts: "un," "happi," and "ness." Each of these parts is considered a separate token. This flexible understanding of tokens is what allows GPT models to efficiently break down text data for analysis.

How GPT Models Utilize Tokens

These models are trained on vast amounts of text data, wherein the data is divided into tokens. Through this process, the model comprehends the statistical relationships between tokens, enabling it to generate new text that mirrors the style and content it was trained on.

The Influence of Tokens on ChatGPT's Performance

ChatGPT breaks down an input message into tokens and uses these to generate a sequence of output tokens. This reflects what it has learned during training. The model can process only a specific number of tokens in a single instance, counted as the token limit. This limit is around 4000 for GPT-3.5 and about 8000 for GPT-4.

For example, if you send a message of 10 tokens to ChatGPT and it responds with a message of 20 tokens, that would count as 30 tokens used. The count includes both input and output tokens.

How Token Allocation Impacts Response Quality

ChatGPT “remembers” elements of a conversation until it reaches its token limit. Having longer conversations helps it to retain context as you refine the responses, which can be useful (See rule on using chained prompting). However, it is important to be mindful that although longer conversations give more context, at a certain point (its token limit), ChatGPT will start to “forget” earlier parts of a conversation. This results in truncated responses or loss of context.

Tips for Managing Tokens

1. Limit prompt length: Since the number of input tokens affects the total token count, keep your prompts concise, especially if you expect a long answer. This leaves more room for ChatGPT's responses.

2. Control the length of responses: If you are planning on having a longer conversation with ChatGPT, you can specify a length limit. This prevents it from generating overly long responses that consume too many tokens.

3. Use clear prompting: Direct prompts can lead to more efficient token usage. Try to be specific and clear in your prompts to get a better response that uses fewer tokens and doesn’t give you background info you’re not interested in.

4. Balance complex queries: There are scenarios where complex queries or long explanations may require a large number of tokens (e.g. you are inputing a multi-page document for ChatGPT to summarize). In such cases, it's essential to be mindful of the token count. You can use techniques like summarization or abstraction to reduce the token count while keeping the important information. See rule Do you summarize long conversations for better context retention?

When seeking advice or comparing options with ChatGPT, it can be helpful to ask for pros and cons as well as a rating. This approach can provide you with a more balanced and comprehensive understanding of your options, enabling you to make more informed decisions.

Here are some tips for asking for pros, cons, and ratings:

• Be explicit about your request for pros and cons in your prompt
• Ask ChatGPT to provide a rating or ranking based on specific criteria, such as cost, quality, or efficiency
• Encourage the model to consider multiple factors when evaluating options

By asking for pros and cons along with a rating, you can gain a more well-rounded understanding of your options, allowing you to make better-informed decisions with the help of ChatGPT.

When seeking explanations for complex concepts with ChatGPT, it can be helpful to request examples or analogies. These can make difficult ideas more relatable and easier to understand, providing you with a clearer grasp of the subject matter.

Here are some tips for asking for examples or analogies:

• Be explicit in your request for an example or analogy in your prompt
• Specify the complex concept or topic you want to better understand
• Encourage the model to use relatable, everyday scenarios or familiar comparisons when providing examples or analogies

By asking for examples or analogies, you can receive more relatable and accessible explanations for complex concepts, allowing you to better understand and engage with the subject matter.

For very long conversations, it's important to know that you only have a certain number tokens to play with, and if your inputs or outputs have been very long, in a long conversation GPT will start to forget some of the earlier context. To avoid this, you can ask ChatGPT to summarize the conversation and then use that summary as a prompt to refresh the context during future interactions.

Here's how to implement this approach:

1. Copy the essential parts of the conversation
2. Ask ChatGPT to "Summarize this conversation without losing important information."
3. Convert the summary into a prompt that can be used in subsequent chats to maintain context

Use the summary prompt on every chat or after several prompts, depending on the size and complexity of the conversation.

By summarizing long conversations and using the summaries as prompts, you can maintain context and ensure that crucial details are not lost, leading to more coherent and informed responses from ChatGPT.

If you have a lot of text to sum up, it can be time consuming to extract the most important parts. If you want a simple way to keep the important stuff, you should use chain of density (CoD).

What is Chain of Density?

CoD prompting is a useful way to reduce the chances that ChatGPT makes mistakes when summarizing text. It works automatically with one prompt. Studies have shown that CoD summaries are preferable to normal GPT-4 summaries.

When you give it the prompt, it will:

• Add important stuff step by step
• Critique itself to check quality
• Improve its own summary

Here's an example prompt you can use to do CoD - the only thing you need to to is paste the text you want summarized into the {{ ARTICLE }} placeholder:

Depending on how dense of a summary you want, you may want to take the outputs from step 2, 3, or 4, instead of 5.

ChatGPT's knowledge is cut off in September 2021, meaning it can't provide real-time or updated information beyond that date. It also can't interact with web content or perform complex computations on its own.

This is where ChatGPT plugins come into play. These powerful tools extend the capabilities of ChatGPT, enabling it to perform tasks such as browsing the web for the most recent information, interpreting content from various digital resources, and even performing complex computations. By leveraging these plugins, you can overcome the limitations of ChatGPT and significantly enhance its utility in the workplace.

Here's a rundown of some of the most useful plugins and how they can be beneficial in a work context.

Inbuilt Browser Support in ChatGPT

ChatGPT has a built-in browser support that can perform searches on Bing to fetch up-to-date information. It's designed to pull in information from the web in real-time during a conversation. It's useful for quick lookups, fact-checking, or when you need to pull in fresh data from the web to answer a question.

For example, if you're asking about the current weather, the latest news, or recent sports scores, the native browsing functionality of ChatGPT would be used to fetch this real-time information. It's also used for general web searches when the assistant needs to pull in information from multiple sources to provide a comprehensive answer.

WebPilot

WebPilot is used when there's a need to interact with a webpage in a more dynamic way. It can simulate browsing actions like clicking on links, filling out forms, or navigating through a website's pages. It's useful when the information you need can't be accessed directly from a single URL, but requires some interaction with the webpage. It can also be useful for some basic SEO advice.

For example, if you need to retrieve data that is behind a form submission or requires navigating through a multi-page article, WebPilot would be the appropriate tool to use.

Link Reader

Link Reader, on the other hand, is more focused on extracting and interpreting information from a single static link. It's designed to understand and synthesize information from various digital resources, including web pages, PDF documents, PowerPoint presentations, images, Word files, and more. It's particularly useful when you need to read, summarize, or analyze the content of a specific link.

For instance, if you have a URL to a specific online article or a PDF document and you want to get a summary or detailed understanding of its content, Link Reader would be the tool to use.

AskYourPDF

If you have a PDF on your machine, not online, use AskYourPDF. It can open and read PDF files, extract text, figures, tables, and even metadata from them. It's an essential tool when you need to access, interpret, or summarize content from a PDF document.

For instance, if you have a PDF report and you need to extract certain tables or sections, or if you want to understand the overall content without going through the whole document, AskYourPDF is the perfect tool for the job.

Prompt Perfect

Prompt Perfect is a plugin that helps in crafting effective prompts for ChatGPT. It's a great tool when you're unsure how to phrase your prompts to get the best responses.

Wolfram Alpha

Wolfram Alpha plugin allows you to perform complex computations and fetch factual information. It's like having a powerful calculator and a fact-checker in one place.

Show Me

Show Me is a plugin that generates visual content based on your prompts. It can be used to create diagrams, flowcharts, and other visual aids that can enhance understanding.

Video Insights

Video Insights is a plugin that can extract key insights from videos. It's a great tool when you need to understand the content of a video without watching the entire thing.

Remember, the best plugin to use depends on the task at hand. By understanding what each plugin can do, you can choose the most effective tool for your needs.

When using ChatGPT, you will eventually find yourself typing in similar prompts over and over for common tasks. This can get annoying!

Creating prompt templates can save time and improve the consistency of outputs. Templates should be a starting point with the necessary elements (role, result, intent, context, and constraint), that you tweak every time depending on your needs..

Here are some examples:

Tips:

• Adoption - Share the templates within your team or organization to ensure everyone benefits from the consistency and efficiency
• Keep it up-to-date - Work with your team members on using ChatGPT, and modify templates as needed

Are you a video producer looking to take your content to the next level? Here are some painful things video producer's go through when creating content:

• Writer's block - thinking of new video ideas can difficult
• Chapter Markers - making chapter markers is particularly time consuming for longer form videos
• Title and description - it can be overwhelming to try and think of the best title and description for your video

With the help of ChatGPT, our SSW Rule for video production can help you create compelling video scripts, optimize your SEO, and streamline your workflow. Say goodbye to disorganized content and hello to the power of AI-assisted video production.

By utilizing ChatGPT, our SSW Rule for video production can help you save time and produce high-quality videos that engage your audience and generate traffic.

You can get AI-generated ideas for your video concepts, generate effective titles and descriptions, and even create a script template for future videos.

Don't let the admin side of video production hold you back - spend more time making the actual video with the below prompts:

1. Video concept + outline

2. Video title and description

3. Chapter Markers

4. Thumbnail creation

5. Blog Post

6. Planning video content

. ### Script Templates:

By now, you’ve probably realised that you can ask ChatGPT to create content for a PPT, which you can then copy and paste into PowerPoint, but this is still time consuming. The next level is to get it to then create the VBA script that can be run to generate the whole PPT 😀

Here’s a great prompt template for doing both! Feel free to play around with things like the preferred format or title colours.

If you're on GPT-4 with Plugins

1. Select the Smart Slides plugin from the plugin store

If you're on GPT3 (or you want to add more custom specs)

Then, follow these steps:

1. Open Microsoft PowerPoint
2. Make sure you have enabled the developer tab
3. Click the Developer Tab | Visual Basic (or “Alt L V”)
4. Click Insert | Module
5. Paste your code into the text box and press F5 to run it

How to add an existing theme to your PPT

In the generated PPT, go to Design | Themes | drop down | browse for themes | select your template

UPDATE - Use this GPT: SSW Rules Writer

Best practice guidelines, or rules, can serve as a repository for knowledge on procedures. They can provide helpful guidance for employees, and useful information for anybody who is looking for a solution to a problem.

Here's how ChatGPT can write your rules for you.

There is 1 simple step. Paste this prompt into ChatGPT:

Figure: You can use a subsequent prompt to ask for the rule in plain text, too!

Writing the perfect email can be a time-consuming and challenging task. From drafting the initial message to ensuring the tone is just right, there's a lot to consider. This is where ChatGPT can be a powerful tool.

Drafting emails

ChatGPT can help you draft entire emails or parts of them. For example, if you are unsure how to begin an email to a potential employer, you can ask ChatGPT for suggestions.

Ask for options

You can ask for multiple options, from which you can choose the best one.

Length Adjustment

ChatGPT can adjust the length of an email response according to your requirements.

Summarize long emails

Sometimes the important points in an email are buried inside walls of text.

Polishing

If you've written an email but aren't satisfied with the wording, you can ask ChatGPT to help improve it. It can help make your language more professional, courteous, concise, or whatever else you need.

Tone Analysis

You can use ChatGPT to analyze the tone of the emails you receive or send. For example, you can ask it to identify if an email sounds angry, respectful, sarcastic, etc. This can help you craft appropriate responses. Tip: ask for an informal style

Customizing for context

You can instruct ChatGPT to adjust the content and tone of the generated email response based on your needs. For example, if you want to decline a proposal, you can ask ChatGPT to write a polite declination.

Replying to a thread

Sometimes you don't know where to start when replying to a thread of messages. You can use ChatGPT to get a quick start.

Personal email template

When using ChatGPT to draft emails for you, it can be useful to have your own repeatable prompt (link) to use each time.

Tip #1: Give multiple shot prompts so it learns your email style.

Tip #2: Create a prompt template so it writes in your style.

Your personal prompt might look like this:

You can do this for specific scenarios too:

General tips

• Avoid ChatGPT for emails that you want to have a personal feel.
• Be aware that ChatGPT emails can sound robotic and insincere. Don’t be afraid to make edits – remove parts and add parts to make it sound more like you.