Intelligent Message Routing

📚 Lesson 2 of 4 ⏱ 25 min 🎯 Intermediate

Overview

In conscious communities, every message carries intention. The goal of intelligent routing isn't to automate away human connection—it's to ensure the right message reaches the right person at the right time, creating space for deeper engagement.

We'll be orchestrating four powerful tools to create an intelligent communication hub:

Airtable
Data Layer

→

n8n
Orchestration

→

Claude
Intelligence

→

Webflow
Delivery

Key Concepts

🎯 Intent Classification

Using Claude to understand the purpose behind each message—is it informational, requesting action, building relationship, or seeking support?

🔀 Dynamic Routing Rules

Creating flexible pathways that adapt based on member preferences, engagement history, and real-time context.

⏰ Temporal Awareness

Respecting time zones, preferred communication windows, and message urgency to deliver at the right moment.

🌊 Flow State Protection

Batching non-urgent communications and protecting deep work time for community members.

Building the Workflow

Let's create an n8n workflow that receives incoming messages, analyzes them with Claude, and routes them intelligently. Here's the core logic:

                        
// n8n Function Node: Message Analysis Request
const message = $input.item.json;

const analysisPrompt = `
Analyze this community message and return JSON:
{
  "intent": "inform|request|connect|support",
  "urgency": "immediate|same-day|weekly-digest",
  "topics": ["array", "of", "relevant", "topics"],
  "sentiment": "positive|neutral|needs-attention",
  "suggested_recipients": "criteria for who should receive"
}

Message: ${message.content}
Sender context: ${message.sender_profile}
`;

return {
  prompt: analysisPrompt,
  model: "claude-3-sonnet",
  max_tokens: 500
};
                        
                    

💡

Pro Tip: Start with Broad Categories

When first implementing AI classification, use 4-5 broad intent categories. You can always refine into sub-categories as you learn from real community patterns.