Contents
Kinesis has become a key property of information that is fit-for-purpose in an AI-mediated world. This challenges what we understand as units of knowledge transfer. Kinetic information is the combination of content, data, and semantics that can respond to requests by systems such as an LLM or CMS.
Since generative AI is changing how users find and consume information, content without structure, without semantics, and locked in documents is no longer fit for purpose. Users expect precise answers, not links to pages where answers might live. And when AI chatbots generate responses, those responses are only as good as the source content behind them.
This session introduces the PODIUMS framework for kinetic information and examines what it takes to make content AI-ready across product knowledge: technical documentation, customer support, and knowledge management.
Takeaways
Why traditional content fails in AI-mediated environments and how to fix this
What makes information kinetic: the PODIUMS framework
How this strategy connects to broader content concepts
Prior knowledge
Any practitioners whose content needs to be re-used and/or delivered through systems such as a CMS, content delivery platform, or AI-enabled chatbot.