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"name": "Lead Qualification with LLM Scoring",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "new-lead",
"responseMode": "responseNode",
"options": {}
},
"id": "1",
"name": "Webhook - New Lead",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [240, 300]
},
{
"parameters": {
"jsCode": "// Normalize incoming lead payload from form/CRM webhook\nconst body = $input.first().json.body || $input.first().json;\nreturn [{\n json: {\n name: body.name || '',\n email: body.email || '',\n company: body.company || '',\n message: body.message || '',\n source: body.source || 'unknown'\n }\n}];"
},
"id": "2",
"name": "Normalize Lead Data",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [460, 300]
},
{
"parameters": {
"resource": "chat",
"operation": "complete",
"modelId": "gpt-4o-mini",
"prompt": "You are a B2B lead qualifier. Given this lead's company, message, and source, score it 1-10 for sales-readiness and return a one-sentence reason. Respond as strict JSON: {\"score\": number, \"reason\": string}.\n\nCompany: {{$json.company}}\nMessage: {{$json.message}}\nSource: {{$json.source}}",
"options": { "temperature": 0.2 }
},
"id": "3",
"name": "Score Lead (LLM)",
"type": "n8n-nodes-base.openAi",
"typeVersion": 1,
"position": [680, 300],
"notes": "Swap for any chat-completion node (OpenAI, Anthropic, Azure OpenAI). Keep temperature low for consistent scoring."
},
{
"parameters": {
"jsCode": "const raw = $input.first().json.message?.content || $input.first().json.text || '{}';\nlet parsed;\ntry {\n parsed = JSON.parse(raw);\n} catch (e) {\n parsed = { score: 0, reason: 'parse_error' };\n}\nreturn [{ json: { ...$('Normalize Lead Data').first().json, ...parsed } }];"
},
"id": "4",
"name": "Parse LLM Output",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [900, 300],
"notes": "Always parse defensively — models occasionally wrap JSON in prose or markdown fences despite instructions."
},
{
"parameters": {
"conditions": {
"options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict" },
"conditions": [
{
"leftValue": "={{$json.score}}",
"rightValue": 6,
"operator": { "type": "number", "operation": "gte" }
}
],
"combinator": "and"
}
},
"id": "5",
"name": "Score >= 6?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [1120, 300]
},
{
"parameters": {
"resource": "message",
"operation": "post",
"channel": "#hot-leads",
"text": "🔥 Hot lead ({{$json.score}}/10): {{$json.name}} @ {{$json.company}} — {{$json.reason}}"
},
"id": "6",
"name": "Notify Sales (Slack)",
"type": "n8n-nodes-base.slack",
"typeVersion": 2,
"position": [1340, 200]
},
{
"parameters": {
"operation": "append",
"sheetName": "Nurture Queue",
"columns": {
"value": {
"name": "={{$json.name}}",
"email": "={{$json.email}}",
"score": "={{$json.score}}",
"reason": "={{$json.reason}}"
}
}
},
"id": "7",
"name": "Log to Nurture Sheet",
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4,
"position": [1340, 400]
}
],
"connections": {
"Webhook - New Lead": { "main": [[{ "node": "Normalize Lead Data", "type": "main", "index": 0 }]] },
"Normalize Lead Data": { "main": [[{ "node": "Score Lead (LLM)", "type": "main", "index": 0 }]] },
"Score Lead (LLM)": { "main": [[{ "node": "Parse LLM Output", "type": "main", "index": 0 }]] },
"Parse LLM Output": { "main": [[{ "node": "Score >= 6?", "type": "main", "index": 0 }]] },
"Score >= 6?": {
"main": [
[{ "node": "Notify Sales (Slack)", "type": "main", "index": 0 }],
[{ "node": "Log to Nurture Sheet", "type": "main", "index": 0 }]
]
}
},
"meta": {
"description": "Scores inbound leads with an LLM and routes hot leads to Slack, cold ones to a nurture sheet. Replace credential-bound nodes (OpenAI, Slack, Google Sheets) with your own connected accounts before running.",
"requiredCredentials": ["OpenAI API (or equivalent chat-completion provider)", "Slack OAuth", "Google Sheets OAuth"]
}
}
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