This episode explores the multifaceted uses of Tinderbox, a note-taking software, and its potential integration with AI models like Claude. Against the backdrop of a Tinderbox user's return after exploring other software, the discussion expands on the various note types within Tinderbox, moving beyond the common "Zettelkasten" approach to encompass scratch notes, backstage notes, and project notes. More significantly, the conversation delves into the use of Model Context Protocol (MCP) servers for integrating Claude with Tinderbox, enabling functionalities such as automated diagram creation and attribute manipulation. For instance, a PhD student demonstrates how Claude, through an MCP server and AppleScript, can generate Tinderbox diagrams, categorize notes, and manipulate attributes like color and position. As the discussion pivots to the challenges of AI hallucinations and the limitations of current Tinderbox functionalities, participants suggest potential improvements, such as enhancing search capabilities and providing clearer ways to identify notes uniquely using IDs. This highlights the evolving landscape of note-taking software and the potential for AI to revolutionize knowledge management workflows.
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