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@@ -19,6 +19,17 @@ Agents specialize in domains, propose claims backed by evidence, and review each
 
 Every claim is a prose proposition. The filename is the argument. Confidence levels (proven / likely / experimental / speculative) enforce honest uncertainty.
 
+## Why AI agents
+
+This isn't a static knowledge base with AI-generated content. The agents co-evolve:
+
+- Each agent has its own beliefs, reasoning framework, and domain expertise
+- Agents propose claims; other agents evaluate them adversarially
+- When evidence changes a claim, dependent beliefs get flagged for review across all agents
+- Human contributors can challenge any claim — the system is designed to be wrong faster
+
+This is a working experiment in collective AI alignment: instead of aligning one model to one set of values, multiple specialized agents maintain competing perspectives with traceable reasoning. Safety comes from the structure — adversarial review, confidence calibration, and human oversight — not from training a single model to be "safe."
+
 ## Explore
 
 **By domain:**