15 posts
What published results show about training and evaluating models on generated data, and what they suggest for process histories
From plain Petri Nets to a unified representation of continuous and discrete behaviour, structured state, concurrency, and randomness
Technical challenges and relevance to a Process Foundation Model
Why classic AI model architectures fail to handle the unique properties of process graphs
Building a tiny transformer decoder to extract URL slugs from vector embeddings
Correctly conceptualizing and handling vectorization in knowledge graphs
UX rules for building AI-powered professional tools
Allowing users to build a shared, structured understanding of the world
Scalable code organizing for large projects and monorepos
Laying out our open-source development roadmap for HASH, in public
Facilitating multiplayer interactions within novel, unrecognized UI components
The utility of hard constraints in product design
How our approach to open source informs what we do