• I'd Rather Be Writing Podcast

  • By: Tom Johnson
  • Podcast

I'd Rather Be Writing Podcast

By: Tom Johnson
  • Summary

  • A technical writing podcast about the latest trends and practices in the field of technical communication. Technical communication includes topics like technical writing (software help), AI, information architecture, usability, API documentation, information design, web design, illustration, DITA, structured authoring, content strategy, visual communication, and more. If you're a technical writer or interested in technical writing, this is the one of few podcasts in this niche. I also have a blog at https://idratherbewriting.com where the podcasts and other blog topics are published. For an index of all podcasts, see https://idratherbewriting.com/podcasts.
    2023, I'd Rather Be Writing
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Episodes
  • [Podcast] GenAI and Document360: Conversation with Saravana Kumar
    Oct 6 2024
    This podcast explores GenAI in technical documentation scenarios, highlighting the AI features and capabilities provided in Document360. I talk with Saravana Kumar, CEO of Kovai.co, which makes Document360, about how AI is changing search functionality and reducing support costs in knowledge bases. We discuss practical applications of AI for technical writers, including automated tagging, SEO optimization, glossary creation, and more. Saravana shares about AI agent workflows, conversational search experiences, automating screenshot captures, and much more.
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    50 mins
  • Podcast: Task decomposition and complex tree diagrams
    Jul 28 2024
    This tutorial will help you understand task decomposition by guiding you through the process of creating a complex tree diagram that's too sophisticated for an AI tool to create at once. Whether you're creating tree diagrams or not, it doesn't matter. This is just an example of how to break down complex information into smaller chunks and pass it into AI.
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    19 mins
  • Podcast: Using long-token contexts to quality check an entire API doc set
    Jul 28 2024
    One of the advantages of recent Gen AI updates is the massive token input context. When you can pass in an entire set of documentation as an input, you have a much stronger possibility for powerful prompts. In this tutorial, I share some quality-control prompts you can use that deal with entire doc sets as inputs, as well as explain some of the challenges in passing in an entire doc set.
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    22 mins

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