Summary of When AI is too verbose, full of repetition and says sorry for being an AI… at andrewchen

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    Making ChatGPT Responses More Punchy

    This article discusses how to improve ChatGPT's responses by utilizing custom instructions. The author expresses frustration with ChatGPT's verbose and repetitive responses, often including apologies for being an AI.

    • The article highlights the importance of custom instructions in shaping ChatGPT's behavior. These instructions allow users to tailor ChatGPT's responses to their specific needs and preferences.
    • The article provides a detailed guide on how to access and configure custom instructions in the ChatGPT mobile app.
    • The author shares two popular sets of custom instructions sourced from Reddit and Twitter, offering specific examples of how to optimize ChatGPT's output.

    Custom Instructions Examples for ChatGPT

    The article provides two examples of custom instructions that can be used to improve ChatGPT's responses. The first set of instructions is from Reddit, while the second is from Twitter. The examples showcase a wide range of instructions, covering areas like:

    • Avoiding AI disclaimers and apologies
    • Providing concise and unique responses
    • Breaking down complex tasks into smaller steps
    • Offering multiple perspectives and solutions
    • Citing credible sources and references
    • Asking thought-provoking follow-up questions

    Integrating ChatGPT into Apple Watch Shortcuts

    The author describes how to create a shortcut to access ChatGPT directly from the action button on an Apple Watch Ultra. This allows for quick and easy interaction with ChatGPT without having to open the app.

    • The article outlines the steps involved in setting up the shortcut, including linking to a relevant iCloud shortcut and replacing the API key with your own.
    • The article provides visual aids in the form of screenshots, demonstrating the shortcut setup process.
    • The shortcut enables voice input for questions, allowing users to interact with ChatGPT hands-free through their Apple Watch.

    The High Growth and High Churn Nature of AI Apps

    The article discusses the high growth and high churn rates observed in the AI app market. The author attributes this phenomenon to novelty value and the tendency for users to experiment with new AI tools. However, the author argues that long-term success requires focusing on retention and minimizing churn.

    • The article explores strategies for achieving greater retention, such as building network effects and integrating AI apps into existing workflows.
    • The author emphasizes the importance of delivering fundamental value to users in order to ensure long-term engagement and reduce churn.
    • The article draws parallels to previous technology waves, such as mobile apps and web2, highlighting how retention ultimately played a crucial role in determining success.

    Using AI Apps to Improve Writing Workflow

    The author shares a personal experience using AI apps to enhance their writing workflow. The article mentions using OASIS AI for voice dictation and Typefully for publishing, demonstrating the potential of AI tools to streamline the writing process.

    • The author suggests that AI apps can assist in various writing tasks, such as transcribing speech, editing content, and formatting for different platforms.
    • The article highlights the evolving role of AI in creative fields, particularly in assisting writers to improve efficiency and quality.

    The Importance of Retention and Network Effects in AI

    The article concludes by emphasizing the significance of retention and network effects in the AI app landscape. The author suggests that the future of AI apps hinges on their ability to attract and retain users in the long term.

    • The article emphasizes the need for AI apps to offer compelling value propositions that go beyond mere novelty. This involves delivering real-world benefits and enhancing user workflows.
    • The author posits that AI apps with strong network effects are more likely to achieve long-term success. These effects create value through user interactions and collaborations, fostering stronger engagement.
    • The article underscores the importance of analyzing key metrics like D1/7/30, which measure user retention rates and provide insights into the long-term viability of AI apps.

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