Pronovix Podcasts

Daniel Kocot (adorsys) joins host Kristof Van Tomme (Pronovix) to brainstorm how enterprise capabilities map across domain boundaries as productized affordances, noting the vital distinction between a technical feature and an affordance. They discuss how modern semantic search over a knowledge graph might breathe new life into the mature concepts of the graph database and the semantic web to help manage enterprise API sprawl.

This podcast explores how AI is reshaping technical communication, from documentation structure and markup choices to making content accessible for AI-driven consumption.

The conversation explores and bridges the external imperative of publishing your API menu for LLM discovery with the internal requirement of defining your organizational capabilities to achieve actual business outcomes.

In this episode we talk about the critical need for LLM-ready content much enriched with structured metadata and discusses how standards like iiRDS and DITA’s semantic tagging enable this.

Discover how technical writers are using minimalism and DITA architecture to guardrail AI models and reduce hallucinations. This episode explores structuring technical content for LLM intent matching, the fascinating paralels of stigmergy and guiding autonomous AI agents, and some of what Ravi and Deepak are working on: AI style guides and knowledge graphs to optimize AI behavior.

A special live episode celebrating our 10 years of partnership that started with a meeting at Apidays, and grew to shaping developer portals and API management worldwide.