Deep dives on neurosymbolic agents, open-source runtime architecture, medical administration, typed execution, and high-trust AI systems.
How language acquisition, dual-channel learning, ontology, ProtoScript, and executable memory shaped the long path to Buffaly.
A case for building runtime-first systems around frontier models instead of asking larger prompts to become memory, execution, policy, and control.
A different kind of agent: one that turns language into executable structure instead of keeping everything in text prompts.
Why traditional LLM agents are an operational dead end in medical administration: and why we built a neurosymbolic alternative.
