Knowledge trunk
ML and AI systems
Models, inference, agents, tools, context, evaluation, and the systems that turn probabilistic outputs into useful work.
updated 2026-08-25
This trunk starts at the systems boundary around models: how inference is served, how context is assembled, how agents select and execute actions, and how the whole loop stays observable and answerable to reality.
Start with Agent loops and Inference serving.
The region connects strongly to authority, trust boundaries, retries, latency, and measurement.
Local nodes