API Resilience

In this episode, Kristof speaks with Ronald Ashri, co-founder of OpenDialog, to unpack the realities behind the AI hype. Drawing from his background in multi-agent systems and his journey through academia, startups, and the semantic web, Ronald shares why truly resilient AI isn't about building one model to rule them all—it’s about constraining powerful systems like LLMs to ensure reliability, especially in high-stakes industries.

In our conversation with Daniel Beck, we discuss creating documentation project archetypes to aid open source and enterprise projects in structuring their documentation efforts. The episode also delves into the evolving role of technical writers in the age of AI and the increasing importance of documentation for API usability.

Further resources:Pattern languages and semantic caching - Discussion with Jeff Eaton (Part 1)https://pronovix.com/podcasts/pattern-languages-and-semantic-caching-discussion-jeff-eaton-part-1Daniel's websitehttps://ddbeck.com/

In the second part of this thought-provoking exploration, the discussion turns towards dissecting the capabilities and limitations of AI, particularly Large Language Models. The episode highlights comparisons between human and artificial intelligence, as well as LLMs functioning as sophisticated indexing or caching mechanisms for information.

How do constraints increase opportunities by introducing boundaries? What challenges do Content Management Systems face in the age of AI?

In this episode, Jeff Eaton (Partner at Autogram) discusses the complexities of building and managing digital systems, drawing on a wide range of theoretical frameworks to understand underlying patterns. The episode highlights the continuous evolution of technology and the ongoing need for structured approaches, even in the face of advancements like AI.

In this special episode, Kristof Van Tomme (Co-founder and CEO of Pronovix) and Christoph Weber (Solutions Architect at Pronovix) invited Jeff Eaton (Partner at Autogram) to discuss the implications of increasing complexity, as well as the capabilities and limitations of LLMs in the context of APIs.

If information is scattered across all the different sections of a developer portal, how can you make it easy for developers to find exactly what they are looking for? Is AI really the answer to challenges in data exploration? In this episode, Praneet Singh (Product Manager at Intuit) shares valuable insights about improving findability, as well as the emerging personas on developer portals and how repeating data patterns can be the key to serving them.

Are there negative values when opening up API programs? Can an AI agent be more than a virtual co-worker that works under supervision? In this episode, Zdenek Nemec (Founder and CTO at Superface) and Kristof Van Tomme explore the attention economy and the effects of shutting down successful social networks for profit. They also delve into the role of AI and how AI agents can change the way we use APIs and the web.

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In this episode, David O’Neill (APIContext) reflects on the current API landscape through the lens of global market trends and recurring cycles in the tech space. Commenting on the current AI boom, David shares some cautionary advice about AI hallucinations and the importance of an internal source of truth.

A research-heavy field can be difficult to navigate for the layperson. In this case, documentation is an invaluable bridge connecting services and customers. In this episode, Daria Lutchenko (UP42) explains the value of concise and coherent documentation that allows providers to keep up their end of the “social contract”.

How can one ensure that their business remains sustainable? What are the key principles of value-based selling? Is it possible to create a fair distribution of value? In this episode, Stefan Verstraeten (Head of Value at TomTom) discusses these questions, and explains how complexity science as a mental model can help to better understand the way things work. He also narrates his journey to superforecasting (notion of making a prediction), which is a unique initiative. 

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