diff --git a/agent-network/README.md b/agent-network/README.md
index cb9279932..f370d644d 100644
--- a/agent-network/README.md
+++ b/agent-network/README.md
@@ -5,22 +5,24 @@ It gives every agent a real identity, tied to an identity provider (IdP), and go
 AI gateways it can call, and the internal resources it can access. Traffic flows only over the encrypted NetBird tunnel, 
 scoped by policy, with no API keys or other credentials to leak.
 
-It also gives you control over cost. Because every LLM request passes through an
+It also gives you control over cost and token usage. Because every LLM request passes through an
 identity-aware proxy, you can:
 
 - **Set spending and rate limits** per agent, per user, or per team — with hard caps
   that stop requests once a budget is reached.
 - **Restrict models and providers** so agents can only call approved (and cost-appropriate)
   endpoints, keeping expensive models off-limits unless explicitly allowed.
-- **Attribute usage** by tracking token consumption and cost per identity, so every
+- **Attribute usage** by tracking token consumption and cost per identity, group, or cost center so every
   request is tied back to the agent and person responsible.
-
+- **Reuse your existing AI gateway** — point the proxy at a gateway you already run,
+  keeping its routing and config in place while it adds identity on top, so you skip
+  API key distribution.
 
 https://github.com/user-attachments/assets/f76d549f-6ea8-45a2-b069-380037aff36a
 
-
-> **Beta.** Agent Network is open source and can be self-hosted on your own
-> infrastructure.
+> **Beta.** Agent Network is in beta, but it's stable and already running in
+> production environments. It's fully open source and can be self-hosted on your own
+> infrastructure, with no vendor lock-in and no data leaving your environment.
 
 ## How it works