Route auto review requests to agentic review

docs/abstraction-strategy.md

@@ -49,9 +49,10 @@ LLMs are most useful for naming and explaining intent:
 - summarizing README and code context into clearer ability descriptions
 - suggesting merges or relinks when deterministic names are too generic
 
-LLM output remains candidate material. It should cite source paths and be reviewed
-or explicitly auto-approved by a trusted mode before becoming approved registry
-truth.
+LLM output remains candidate material. It should cite source paths and be
+reviewed by a human or configured agentic reviewer before becoming approved
+registry truth. Deterministic checks can block or flag weak candidates; they do
+not approve them.
 
 ## Trial Repo Observations