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Medium

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A New Map for Product Docs

  • The transition from printed format user guides to GPS-style step-by-step instructions is just beginning.
  • There's a major opportunity to apply AI tools to the long-neglected problem of product documentation.
  • Users want clear, step-by-step instructions tailored to their specific task, similar to GPS navigation.
  • Existing product manuals often lack connection to an underlying map, resulting in AI-generated content not being based on actual data.
  • A proposal for a dynamic system involving computer vision, LLMs, CCMS, and a knowledge graph is made to improve product documentation.
  • Product manuals stored as static PDFs need to be transformed into structured, searchable content for better user experience.
  • The development of a knowledge graph is suggested to organize product data and enable on-demand, tailored instructions.
  • The knowledge graph acts as a map, allowing tools like RAG and pathfinding algorithms to generate step-by-step instructions for any valid route.
  • The system aims at replacing static manuals with a dynamic, living system aligned with how users search, learn, and solve problems.
  • Adoption of AI tools like ChatGPT highlights the readiness of users to seek instructions from AI, emphasizing the need for accurate, high-quality data.

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