Feeder Firewatch: the paper as a static page

README.md

@@ -1,10 +1,24 @@
 ---
-title: Wildfire Risk Distribution Us
-emoji: 🌖
-colorFrom: pink
-colorTo: gray
+title: Physical AI system design, feeder wildfire risk
+emoji: 🔥
+colorFrom: blue
+colorTo: yellow
 sdk: static
 pinned: false
+license: cc-by-4.0
+short_description: Physical AI system design, feeder wildfire risk
+tags:
+- physical-ai
+- sovereign-ai
+- united-states
+- electric-utility
+- wildfire
+- psps
+- reference-architecture
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# System design for physical AI: Feeder Firewatch
+
+How to put intelligence into a running electric distribution cooperative in the United States, on its own hardware: edge vision at substations and on patrol trucks, one GPU node for the reasoning model, a fourteen-object ontology, and a named operator on every de-energisation. By CodeNinja.
+
+The full paper renders on this Space. The operator is an illustrative scenario, not a CodeNinja customer. PDF and source files: https://github.com/muhammadumar89/codeninja-research. Ontology and register: https://huggingface.co/datasets/CodeNinjatools/wildfire-risk-distribution-us-ontology. Canonical page: https://muhammadumar89.github.io/codeninja-research/wildfire-risk-distribution-us/