The network should be allowed to prove the AI wrong
Why deterministic evidence is a better trust mechanism than fluent confidence.
Field Notes
Engineering notes from the boundary between intent and operational reality.
The work is strongest when the examples are concrete enough to challenge and bounded enough to remain honest.
Conference field note
What I learned talking about AI and networking at NetBrain LIVE 2026
The useful question is not whether AI can answer a network question. It is whether an engineer can inspect the evidence, challenge the reasoning, and understand the architecture consequence.
Read the field note →TopologyPeerPrefixPolicyBest pathRIB / FIBForward / returnHistorical deltaEvidence
Research direction
Technical notes from the Architecture Intelligence problem space.
Why did we design it this way?
Decision provenance as operational infrastructure rather than documentation debt.
Ask for the evidence path, not the answer
A network troubleshooting prompt should force topology, policy, forwarding, return path, and historical state into view.
Publishing standard
Separate what happened from what we think it means.
Field Notes should label synthetic examples, distinguish observation from inference, cite external claims when used, and avoid publishing confidential infrastructure evidence. The purpose is to make the method inspectable.