Michael Cafarella

AI agents can now build and reuse persistent, artifact-specific knowledge, dramatically improving their ability to find relevant information for complex tasks and reducing operational costs.

Users can now interactively critique and optimize their AI-driven data queries, transforming opaque analytics into a transparent, controllable process.

Agent-Aided Design can now create functional assemblies with moving parts, like pistons and pendulums, by augmenting LLMs with constraint solvers.