Don't Use ChatGPT Until You Watch This Video

Leila Gharani
21 Sept 202313:39

TLDRThis video script offers practical advice for enhancing interactions with ChatGPT, emphasizing the importance of custom instructions for tailored responses. Viewers learn how to specify their background, preferences for tone, and detail level, ensuring relevant and concise answers. Tips include using custom settings to bypass explanations, request source links for factual answers, and personalize writing style for unique content creation. The script highlights self-critiquing and self-prompting techniques for improved output, alongside strategies for controlling response length and format. This guide aims to optimize user experience with ChatGPT, demonstrating how specific inputs lead to more efficient and customized interactions.


  • πŸ“ Customize your ChatGPT experience by setting up custom instructions based on your identity, preferences, and needs, like your profession or how you want ChatGPT to respond.
  • πŸ“ˆ Provide context about yourself to get more relevant responses, such as your job or location.
  • πŸ’¬ Decide on the tone, formality, and level of detail for ChatGPT's responses to streamline communication.
  • 🧩 Use custom settings to request specific types of answers, such as direct formulas or code snippets without explanations, saving time and reducing frustration.
  • πŸ—žοΈ Inform ChatGPT if you prefer it to cite sources or indicate confidence levels in its responses, especially for factual information.
  • πŸ“„ Teach ChatGPT to mimic your personal writing style by providing examples, which can be used for consistent tone in content creation.
  • πŸ“š Encourage self-critique by asking ChatGPT to review its own responses for improvements, enhancing clarity and relevance.
  • πŸ€– Optimize prompts through self-prompting, allowing ChatGPT to ask clarifying questions for more accurate and tailored outputs.
  • πŸ“Œ Specify desired output formats, like plain text, tables, or HTML, to suit your needs, whether for analysis, website content, or documentation.
  • ✏️ Remember the principle 'garbage in, garbage out'β€”the quality of ChatGPT's output is dependent on the clarity and specificity of your prompts.

Q & A

  • What is the purpose of setting custom instructions in ChatGPT?

    -Custom instructions allow users to set preferences for how ChatGPT responds to them, such as tone, formality, and content depth, to avoid repeating preferences in every conversation.

  • How can specifying your profession or location improve your experience with ChatGPT?

    -By letting ChatGPT know your profession or location, it can tailor responses to be more relevant to your line of work or region, providing more personalized and useful information.

  • What types of customizations can you make to ChatGPT's responses?

    -Users can customize ChatGPT's language and tone, decide if it should have opinions or remain neutral, and specify if responses should be long or short.

  • How can specifying a preference for receiving Excel formulas without explanations benefit users?

    -If users are proficient in Excel, specifying a preference for receiving only the most efficient formulas without explanations can save time and avoid unnecessary information.

  • What is the benefit of asking ChatGPT to inform about the confidence level of its answers?

    -Asking ChatGPT to inform about the confidence level of its answers helps users gauge the reliability of the information, particularly for factual topics.

  • How can you teach ChatGPT to write in your personal writing style?

    -You can teach ChatGPT to write in your personal style by providing examples of your writing, allowing it to analyze and replicate your style in future outputs.

  • What is the advantage of using self-critique in ChatGPT's responses?

    -Self-critique allows ChatGPT to review its own text and provide feedback on potential improvements, enhancing clarity and effectiveness of the communication.

  • How does self-prompting optimize ChatGPT's performance?

    -Self-prompting involves asking ChatGPT to generate prompts based on detailed criteria, leading to more targeted and effective responses by refining the initial request.

  • Why might limiting the word count of ChatGPT's responses be useful?

    -Limiting the word count ensures responses are concise and to the point, which is beneficial for readers who prefer straightforward answers without excessive detail.

  • What formats can ChatGPT output responses in, and how can this be useful?

    -ChatGPT can output responses in various formats, including plain text, tables, CSV, HTML, JSON, XML, and as a Pandas data frame, making it versatile for different applications.



πŸ“˜ Maximizing ChatGPT's Utility

The speaker introduces the concept of leveraging ChatGPT more effectively by using custom instructions. They encourage viewers to define their personal or professional background, location, and how they prefer ChatGPT to respondβ€”whether in a formal or casual tone, with or without opinions, and preferring longer or shorter responses. For instance, specifying preferences for receiving direct answers without explanations in certain domains like Excel formulas or programming codes can significantly reduce back-and-forth communication. Furthermore, setting ChatGPT to provide confidence levels and sources for factual answers enhances the quality of the interaction. These customizations aim to tailor ChatGPT's responses more closely to the user's needs and preferences, making the tool more efficient and user-friendly.


πŸ“ Personalizing ChatGPT's Writing Style

This section covers advanced strategies for personalizing ChatGPT's output to match the user's writing style. By providing examples of their own writing, users can train ChatGPT to adopt a specific style, referred to as 'LG_STYLE' for convenience. The process involves demonstrating the user's style through examples and then instructing ChatGPT to write new content in that style, such as blog articles. Additionally, the concept of self-critique is introduced, where ChatGPT is asked to review its own text and suggest improvements, demonstrating the model's ability to refine its output based on feedback. The idea of self-prompting is also explored, with users guiding ChatGPT to generate specific prompts that lead to optimized responses for tasks like drafting emails. These techniques are aimed at enhancing the customization and relevance of ChatGPT's outputs to individual users' needs.


πŸ” Tailoring ChatGPT Responses

The final section delves into techniques for managing the length and format of ChatGPT's responses to better suit the user's requirements. The speaker suggests specifying a word count for responses to maintain brevity and focus, demonstrating this with an example of comparing Excel functions. Moreover, the capability of requesting responses in various formats is highlighted, including tables, CSV, and HTML, which can be particularly useful for data presentation and analysis. By adjusting the prompt to include formatting requests, users can obtain outputs that are immediately usable in their intended contexts, such as websites or reports. These tips underscore the importance of clear and precise prompts in achieving desirable outcomes from interactions with ChatGPT, echoing the 'garbage in, garbage out' principle while encouraging users to explore the model's versatility.



πŸ’‘Custom Instructions

Custom Instructions refer to personalized settings that users can configure in ChatGPT to tailor its responses according to their preferences and needs. These settings allow users to specify their professional background, location, desired tone of conversation, and other preferences to receive more relevant and useful responses. In the script, it is suggested that users take advantage of these instructions to avoid repetitive clarification in every conversation, exemplified by specifying if one prefers concise Excel formulas without explanations.


Relevance in the context of ChatGPT responses means providing information that is directly applicable and valuable to the user's specific query or situation. The script emphasizes the importance of informing ChatGPT about the user's background, such as occupation and location, to ensure the responses are tailored and relevant. For instance, a software developer might get more technical and specific programming advice than a layperson.


Efficiency in the context of the script refers to providing the most direct and effective solutions or responses to user queries. This is particularly highlighted in the example of asking for Excel formulas or programming code where the user specifies a preference for receiving the most efficient solution directly without unnecessary explanations. This ensures that users get concise, actionable information quickly.

πŸ’‘Tone and Style

Tone and Style pertain to the manner in which ChatGPT communicates with users, which can range from formal to casual, based on the user's preferences. The script suggests that specifying the desired tone and style can significantly impact the user experience, making interactions more enjoyable and aligned with personal or professional communication norms. Examples include opting for a friendly and casual tone or choosing whether ChatGPT should express opinions or remain neutral.

πŸ’‘Confidence Level

Confidence Level refers to the degree of certainty ChatGPT has regarding its responses. In the script, it's recommended to have ChatGPT indicate its confidence level, especially for factual information, to help users gauge the reliability of the answers. This feature can be crucial for users who rely on accurate data for decision-making or learning.


Self-Critique is a method mentioned in the script where ChatGPT is prompted to review and critique its own responses. This approach is used to improve the quality of responses by identifying and correcting weaknesses in clarity, depth, or relevance. It's exemplified by asking ChatGPT to analyze a given reply on Python and Excel integration and suggest improvements.


Self-Prompting is a technique where ChatGPT is used to generate optimized prompts for itself, based on a set of predefined criteria or objectives. The script describes using self-prompting to craft an effective email by having ChatGPT ask clarifying questions first, ensuring the prompts lead to responses that are perfectly tailored to the user's needs, like encouraging team participation in an event.

πŸ’‘Word Count

Word Count control is a feature discussed in the script where users can specify the desired length of ChatGPT's responses. This is particularly useful for ensuring responses are concise and to the point, suitable for users who prefer brief explanations or are under specific constraints, such as creating content with a limited word count.

πŸ’‘Output Format

Output Format refers to the way in which ChatGPT presents its responses, which can vary from plain text to structured formats like tables, CSV, or HTML. The script highlights the versatility of ChatGPT in generating responses that can be directly used in various applications, such as creating a table of FIFA World Cup winners to paste into Excel, showcasing the AI's ability to adapt its output to the user's requirements.

πŸ’‘Writing Style

Writing Style adaptation is a process where ChatGPT learns to mimic the user's unique style of writing based on examples provided by the user. This is emphasized in the script as a way to make AI-generated text more personalized and reflective of the user's voice, enhancing the authenticity and engagement of content such as blog articles.


Using custom instructions in ChatGPT can save your preferences for more tailored interactions.

Providing context, such as your profession or location, helps ChatGPT generate more relevant responses.

You can specify the language and tone of ChatGPT's responses, making communication more personalized.

ChatGPT can be instructed to focus on efficiency, providing concise answers without extra explanations.

Setting custom instructions to include confidence levels and source URLs enhances the reliability of ChatGPT's answers.

Teaching ChatGPT your personal writing style allows for more authentic and customized content creation.

ChatGPT can self-criticize its responses, offering potential improvements and alternative perspectives.

Using self-prompting, ChatGPT can generate and optimize its own prompts for better results.

Specifying a word count for ChatGPT's responses can help maintain clarity and conciseness.

ChatGPT can format responses in various structures, such as tables, CSV, or HTML, for diverse applications.

Asking ChatGPT to review and critique its own work can lead to enhanced and more insightful outputs.

Customizing ChatGPT prompts to match your specific needs can significantly improve the tool's effectiveness.

Utilizing ChatGPT for specialized tasks, like programming or Excel, can be optimized by setting precise preferences.

Informing ChatGPT about your preferences for opinion neutrality or engagement can tailor its interaction style.

Encouraging ChatGPT to provide sources for factual information increases the utility and trustworthiness of its responses.

Leveraging ChatGPT's self-prompting ability can uncover new and creative ways to approach problem-solving.