blog: Agent Connectivity Best Practices — expand network-stack post for GSC striking-distance query

public/llms.txt

@@ -68,7 +68,7 @@ The managed control plane is in preview. Supported adapters can surface agent ac
 - [Nebula vs Tailscale vs ZeroTier: Overlay Network for AI Agents](https://pilotprotocol.network/blog/pilot-vs-tailscale-nebula-zerotier-ai-agents): Head-to-head comparison of the three most popular overlay networks and where Pilot fits for agent workloads.
 - [Benchmarking: HTTP vs UDP Overlay](https://pilotprotocol.network/blog/benchmarking-http-vs-udp-overlay): Latency, throughput, and NAT traversal benchmarks comparing HTTP/2 and Pilot's UDP overlay for agent communication.
 - [Persistent Connections for AI Agents](https://pilotprotocol.network/blog/move-beyond-rest-persistent-connections-for-agents): Compare REST, WebSocket, gRPC, and persistent UDP tunnels for agent messaging with code examples.
-- [Why AI Agents Need Their Own Network Stack](https://pilotprotocol.network/blog/why-ai-agents-need-network-stack): The case for a dedicated network layer — permanent addresses, NAT traversal, encrypted tunnels, and cryptographic trust for multi-agent systems.
+- [Agent Connectivity Best Practices: Why AI Agents Need a Network Stack](https://pilotprotocol.network/blog/why-ai-agents-need-network-stack): Agent connectivity best practices for multi-agent systems — durable addresses, NAT traversal, encrypted tunnels, and per-peer trust.
 - [Overlay Networking Explained](https://pilotprotocol.network/blog/overlay-networking-secure-ai-agent-communication-explained): A practical guide to overlay networking for secure AI agent communication — encapsulation, control planes, protocol trade-offs, and deployment patterns.
 - [NATS vs gRPC vs TCP vs Pilot Protocol](https://pilotprotocol.network/blog/pilot-vs-tcp-grpc-nats-comparison): Feature-by-feature comparison of four agent communication protocols with latency and throughput benchmarks.
 - [Multi-Agent System Security: Network Defense Strategies](https://pilotprotocol.network/blog/network-security-for-multi-agent-systems-key-strategies): Layered defense, secure protocols (MCP, A2A), and how to protect AI agent networks from compromise.

src/data/blogPosts.json

@@ -17,7 +17,7 @@
  {
   "slug": "build-agent-app-turn-api-into-tool",
   "title": "How to Build an Agent App: Turn Your API Into an Agent-Native Tool",
-  "description": "Turn an existing API into an installable agent app on Pilot Protocol — the discover, install, call loop, what to prepare, and how to publish.",
+  "description": "Turn an existing API into an installable agent app on Pilot Protocol \u2014 the discover, install, call loop, what to prepare, and how to publish.",
   "date": "Jul 5",
   "category": "Blog",
   "tags": [
@@ -47,7 +47,7 @@
  {
   "slug": "overlay-network-ai-agents",
   "title": "Overlay Network for AI Agents: Architecture and Trust Model",
-  "description": "What an overlay network for AI agents needs — persistent addressing, NAT traversal, encrypted transport, and per-peer trust — and how Pilot Protocol implements it.",
+  "description": "What an overlay network for AI agents needs \u2014 persistent addressing, NAT traversal, encrypted transport, and per-peer trust \u2014 and how Pilot Protocol implements it.",
   "date": "Jul 1",
   "category": "Blog",
   "tags": [
@@ -62,7 +62,7 @@
  {
   "slug": "aegis-agent-firewall-prompt-injection",
   "title": "AEGIS: A Runtime Firewall for AI Agents Against Prompt Injection",
-  "description": "AEGIS is an offline agent firewall on the Pilot app store. Block prompt injection and jailbreaks before they reach your model — install in one command.",
+  "description": "AEGIS is an offline agent firewall on the Pilot app store. Block prompt injection and jailbreaks before they reach your model \u2014 install in one command.",
   "date": "Jun 30",
   "category": "Blog",
   "tags": [
@@ -77,7 +77,7 @@
  {
   "slug": "ai-agent-app-store",
   "title": "The AI Agent App Store: Install Tools With One Command",
-  "description": "How agents discover, install, and call tools on Pilot — the discover→install→call loop, signed local apps, and publishing your own to the agent app store.",
+  "description": "How agents discover, install, and call tools on Pilot \u2014 the discover\u2192install\u2192call loop, signed local apps, and publishing your own to the agent app store.",
   "date": "Jun 30",
   "category": "Blog",
   "tags": [
@@ -92,7 +92,7 @@
  {
   "slug": "direct-communication-protocols-ai-agents-guide",
   "title": "AI agent communication protocols: Pilot vs MCP vs A2A vs ACP vs ANP",
-  "description": "Compare AI agent communication protocols — MCP, A2A, ACP, ANP, and Pilot — on transport, discovery, NAT traversal, and trust. Find the right stack for your agents.",
+  "description": "Compare AI agent communication protocols \u2014 MCP, A2A, ACP, ANP, and Pilot \u2014 on transport, discovery, NAT traversal, and trust. Find the right stack for your agents.",
   "date": "Jun 30",
   "category": "Blog",
   "tags": [
@@ -109,7 +109,7 @@
  {
   "slug": "pilot-vs-tailscale-nebula-zerotier-ai-agents",
   "title": "Pilot vs Tailscale vs Nebula vs ZeroTier for AI Agents",
-  "description": "Tailscale, Nebula, and ZeroTier are great machine VPNs — but agents need addressing, discovery, and per-peer trust. An honest architecture comparison and decision guide.",
+  "description": "Tailscale, Nebula, and ZeroTier are great machine VPNs \u2014 but agents need addressing, discovery, and per-peer trust. An honest architecture comparison and decision guide.",
   "date": "Jun 28",
   "category": "Blog",
   "tags": [
@@ -1138,13 +1138,15 @@
  },
  {
   "slug": "why-ai-agents-need-network-stack",
-  "title": "Why AI Agents Need Their Own Network Stack",
-  "description": "A2A assumes HTTP endpoints. MCP assumes reachable servers. 88% of networks involve NAT. The agent ecosystem is missing its TCP/IP layer.",
+  "title": "Agent Connectivity Best Practices: Why AI Agents Need a Network Stack",
+  "description": "Agent connectivity best practices for reliable multi-agent systems: durable addresses, NAT traversal, encrypted tunnels, and per-peer trust.",
   "date": "Feb 17",
   "category": "Architecture",
   "tags": [
    "opinion",
-   "ai-agents"
+   "ai-agents",
+   "networking",
+   "best-practices"
   ],
   "banner": "banners/why-ai-agents-need-network-stack.webp",
   "iso_date": "2026-02-17"
@@ -1330,4 +1332,4 @@
   "banner": "banners/claude-agent-teams-over-pilot.webp",
   "iso_date": "2026-02-09"
  }
-]
+]

src/pages/blog/ai-networking-best-practices-secure-scalable-systems.astro

@@ -213,7 +213,7 @@ const bodyContent = `<script type="application/ld+json">
 <h2 id="explore-next-gen-ai-networking-tools" tabindex="-1">Explore next-gen AI networking tools</h2>
 <p>Building from hard-won lessons and industry best practices, here’s where you can take the next step. The practices in this article are only as effective as the infrastructure you run them on.</p>
 <p><img src="https://csuxjmfbwmkxiegfpljm.supabase.co/storage/v1/object/public/blog-images/organization-24002/1774647725213_pilotprotocol.jpg" alt="https://pilotprotocol.network"></p>
-<p><a href="https://pilotprotocol.network">Pilot Protocol</a> gives you the decentralized networking infrastructure to put these practices into production. You get encrypted P2P tunnels, NAT traversal, virtual addresses, and mutual trust establishment out of the box, without relying on centralized brokers or message queues. It supports multi-cloud and cross-region agent connectivity, wraps HTTP, gRPC, and SSH inside its overlay, and integrates cleanly with existing systems. Explore more on decentralized AI networking to see how teams are building production-grade agent fleets today.</p>
+<p><a href="https://pilotprotocol.network">Pilot Protocol</a> gives you the decentralized networking infrastructure to put these practices into production. You get encrypted P2P tunnels, NAT traversal, virtual addresses, and mutual trust establishment out of the box, without relying on centralized brokers or message queues. It supports multi-cloud and cross-region agent connectivity, wraps HTTP, gRPC, and SSH inside its overlay, and integrates cleanly with existing systems. If you are still building the case for a dedicated network layer, start with <a href="/blog/why-ai-agents-need-network-stack">why AI agents need their own network stack</a>. Explore more on decentralized AI networking to see how teams are building production-grade agent fleets today.</p>
 <h2 id="frequently-asked-questions" tabindex="-1">Frequently asked questions</h2>
 <h3 id="what-are-the-most-resilient-p2p-architectures-for-ai-networking" tabindex="-1">What are the most resilient P2P architectures for AI networking?</h3>
 <p>Dynamic DAGs and DHTs such as Kademlia are proven for fault tolerance and scalability in AI systems, handling node churn and network partitions without a central coordinator.</p>

src/pages/blog/move-beyond-rest-persistent-connections-for-agents.astro

@@ -53,7 +53,7 @@ while True:
     <li><strong>Lightweight.</strong> Adding a connection to another agent should not require deploying a message broker, configuring a WebSocket gateway, or managing connection pooling infrastructure.</li>
   </ul>
 
-  <p>No single existing protocol hits all five. REST misses bidirectional and persistent. WebSocket misses NAT-traversing and lightweight. gRPC streaming misses NAT-traversing. MQTT hits most but requires a broker (not lightweight for small deployments) and does not do NAT traversal.</p>
+  <p>No single existing protocol hits all five. REST misses bidirectional and persistent. WebSocket misses NAT-traversing and lightweight. gRPC streaming misses NAT-traversing. MQTT hits most but requires a broker (not lightweight for small deployments) and does not do NAT traversal. For the full argument on why agents need a dedicated network layer rather than extending HTTP, see <a href="/blog/why-ai-agents-need-network-stack">why AI agents need their own network stack</a>.</p>
   </section>
 
   <section>