This community is about Claude Code and n8n, so I figured it’d be worth sharing exactly how I’m using both in a production automation system. Setup: KnockKnock (AI SMS) + GHL (CRM/calendar) + n8n (orchestration) + Claude (intent classification) Here’s the full flow: Trigger (GHL): Missed call or form submit → GHL fires a webhook to n8n. First n8n check: query GHL to see if an active conversation already exists on this contact’s number. If yes → stop. Prevents double-threading when a lead calls twice. First message (KnockKnock): KK sends an SMS within 60 seconds. “Hey [Name] — saw you reached out about [service type]. Is that still something you’re looking into?” Short. Human. No pitch. Intent classification (Claude via n8n): When the lead replies, n8n passes the text to Claude with a simple system prompt: “Classify this SMS reply as HOT, WARM, or COLD. HOT = clear interest or booking signal. WARM = soft interest. COLD = not interested or wrong person.” Claude returns a single word. n8n routes via switch node. HOT branch: Send GHL booking link → appointment auto-creates in GHL calendar → pipeline stage updates → owner notification fires. WARM branch: Contact enters GHL 48-72hr nurture sequence. If they re-engage → back into HOT routing. COLD branch: Tag in GHL. Remove from active flow. Long-term drip. Write-back to GHL (every branch): n8n updates the GHL contact record: • Last intent: hot/warm/cold • Service mentioned: extracted from Claude’s output • Execution ID: [YYYY-MM]-[workflow-name]-[version] • Last message timestamp The Execution ID matters: query it at the start of every n8n run to detect duplicates. When debugging a specific contact, it gives you the exact execution to pull up. Stack summary: GHL → trigger, CRM, calendar, pipeline, notifications n8n → all logic: routing, Claude calls, duplicate detection, write-back KnockKnock → AI SMS layer Claude → intent classification (one clean word output = easy switch node routing)

Built this for a trades client who was losing a lead every time his hands were dirty. The setup: 📞 Call comes in → AI picks up in 2 rings, introduces itself as the scheduling assistant 🗣️ Intake questions: → "What service are you looking for today?" → "Whereabouts are you based?" → "How urgent is this?" Based on answers: → Urgent → offers next available slot, confirms booking → Not urgent → sends SMS booking link → Out of area → apologises + gives alternative contact 📱 Owner gets SMS summary after every call: name, number, what they need, what action was taken. Went from missing 60% of calls to missing 0%. Stack: voice AI layer → webhook → n8n for routing → CRM for logging and booking. Anyone else building voice intake for trades/service businesses? Would love to compare routing logic.

Voice AI + GHL combo that's working right now: Step 1: Missed call triggers workflow Step 2: AI sends personalized SMS in 60 seconds Step 3: If no reply → AI voice call follows up Step 4: Lead qualifies → calendar auto-booked Built this in GHL + n8n. Result for one client this week: 12 booked calls from leads they were already getting. No new ads. No cold outreach. Just faster follow-up with AI. Anyone else combining voice AI with SMS follow-up? What's your stack?

If you're building voice agents (like many in this community), here's a layer you might be missing: Knock Knock App adds visitor intelligence to the equation. Before your AI even picks up the phone, Knock Knock has already: → Identified who they are → Scored their intent → Pulled their GHL record → Decided whether to chat, call, or WhatsApp them So when your voice agent answers, it already knows the context. All memory shared. All logged to GHL. This is the missing piece between website traffic and voice AI. knockknockapp.ai — built to work with GHL natively. Building voice + CRM workflows? Would love to connect and swap ideas 👇

Since this community is all about AI Voice Agents — here's a real deployment with real numbers. Use case: Home service businesses (HVAC, cleaning, plumbing, roofing) Problem: They have hundreds of old leads doing nothing in their CRM The Voice Agent Stack: 🤖 GHL AI Voice Agent (Inbound) → Answers every call 24/7, qualifies the lead, books the appointment automatically 📤 GHL AI Voice Agent (Outbound) → Auto-dials dormant leads on a 30-day rotation 💬 SMS AI → Fires within 2 minutes on every unanswered call 🚷 KnockKnock App → Captures door-to-door field leads directly into CRM in real time 🔄 Reactivation Workflow → n8n triggers monthly outbound calling campaigns The Agent Logic Flow: New lead captured → Voice agent dials in <60 seconds → No answer → SMS fires → SMS reply → Booking flow → Appointment confirmed → Reminder sequence For dead leads: Monthly n8n trigger → Pulls contacts tagged 'cold' older than 30 days → Queues outbound voice campaign → Agent calls → Interested → Routes to booking Result from one client deployment: 🔸 847 dormant leads fed into reactivation 🔸 23 booked calls 🔸 9 closed deals 🔸 $31,000 in revenue 🔸 72 hours Voice provider: Retell AI via GHL Voice AI Workflow engine: n8n (on-prem) CRM: GoHighLevel Field capture: KnockKnock This is exactly the kind of real-world agentic deployment this community is about. Happy to share the Retell agent config or the n8n workflow — drop "🎙️" below.