Building advanced AI knowledge bases: Structure, scale, and strategy

​In this workshop, we’ll go deep into the foundations of building AI-native knowledge bases that actually work. From structuring articles for optimal retrieval to proactively syncing your KB with fast-moving product teams, this is your tactical guide to building a knowledge layer that doesn’t fall apart when you ship fast.

You’ll walk away with:

1. Proven strategies for designing AI-compatible knowledge content
2. Guidance on managing multi-product and multi-tiered knowledge bases (such as Enterprise vs. SMB, or segmented internal content)
3. Practical steps to evolve your KB this week, without starting from scratch

Plus: A live Q&A with Nivedha Venkatesh, CEO of Pageloop, diving into how her team thinks about content structure, scalability, and real-world implementation.

Perfect for: Support leads, founders, AI ops teams, documentation owners, and anyone responsible for keeping support grounded, fast, and scalable.

Featured speakers: Nivedha Venkatesh (CEO @ Pageloop), Marie Schneegans (CEO @ 14.ai), Maya Czeneszew (Founding Engineer @ 14.ai)