Evidence does not become truth by accident
Observation, normalized evidence, finding, package, report, and rollup stay separate until an explicit process connects them.
PFEM / PFCOMM kung fu
This page assumes the AI is referencing the real PFEM and PFCOMM architecture repositories, not only the lightweight starter guidance bundled in Doctor Bones. The point is portability: the same evidence, command, communication, and rollup boundaries can shape a critical-infrastructure alert system and a HAM/RACES field interface for watching the skies.
Observation, normalized evidence, finding, package, report, and rollup stay separate until an explicit process connects them.
Messages, acknowledgements, commands, status returns, handoffs, and closeout records are modeled as communication acts, not sensor facts.
The AI is not freewheeling. It reads the repo, uses the referenced architectures, and produces bounded artifacts that can be reviewed.
For a refinery, airport, hospital, utility site, or emergency operations center, the interface can separate live alerts from evidence packages and management rollups.
The same architecture can also make a low-friction field page for operators who need to relay, observe, confirm, and hand off information during an incident.
The cool part is not that an AI can draw a dashboard. The cool part is that the same generic architecture can constrain the AI into making different mission interfaces without collapsing evidence, communication, authority, and reporting into one blob.