This workflow follows the Google Drive → Google Drive Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "Pre-Call Nurture Pipeline",
"nodes": [
{
"parameters": {
"watchFor": "new",
"folderId": "{{DRIVE_TRANSCRIPTS_FOLDER_ID}}"
},
"type": "n8n-nodes-base.googleDriveTrigger",
"typeVersion": 1,
"position": [
0,
0
],
"id": "DriveTrigger",
"name": "Watch Transcripts Folder"
},
{
"parameters": {
"download": true,
"fileId": "={{ $json.id }}"
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 1,
"position": [
200,
0
],
"id": "DownloadTranscript",
"name": "Download Transcript"
},
{
"parameters": {
"resource": "binary",
"binaryPropertyName": "data",
"options": {}
},
"type": "n8n-nodes-base.readBinaryFile",
"typeVersion": 1,
"position": [
400,
0
],
"id": "ReadTranscript",
"name": "Read Transcript"
},
{
"parameters": {
"model": "claude-3-7-sonnet-20250219",
"input": "={{\n `I need you to conduct a forensic analysis of my sales conversation to identify segments and pre-call nurture content.\n\n` +\n `\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n` +\n `BACKGROUND CONTEXT:\n` +\n `\u251c\u2500 Business: {{BUSINESS_DESCRIPTION}}\n` +\n `\u251c\u2500 Current Stats: Show rate {{SHOW_RATE}}%, close rate {{CLOSE_RATE}}%, sales cycle {{SALES_CYCLE}} days\n` +\n `\u251c\u2500 Volume: {{LEADS_PER_DAY}} leads/day\n` +\n `\u251c\u2500 Price Point: ${{PRICE}} with {{PAYMENT_TERMS}}\n` +\n `\u2514\u2500 Sales Process: {{CALL_COUNT}} calls, typical objections: {{OBJECTIONS}}, closed by {{CLOSER}}\n\n` +\n `MATERIALS PROVIDED:\n` +\n `\u251c\u2500 This transcript (pasted below)\n` +\n `\u2514\u2500 Outcome: {{OUTCOME}}\n\n` +\n `\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n` +\n $binary.data.toString()\n}}"
},
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1,
"position": [
600,
0
],
"id": "ForensicAnalysis",
"name": "Forensic Analysis"
},
{
"parameters": {
"functionCode": "const count = (global.get('transcriptCount') || 0) + 1;\nglobal.set('transcriptCount', count);\nreturn [{ json: { count } }];"
},
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
800,
0
],
"id": "CountTranscripts",
"name": "Increment Transcript Counter"
},
{
"parameters": {
"conditions": {
"number": [
{
"value1": "={{ $json.count }}",
"operation": "equal",
"value2": 15
}
]
}
},
"type": "n8n-nodes-base.if",
"typeVersion": 1,
"position": [
1000,
0
],
"id": "CheckThreshold",
"name": "Reached 15 Transcripts?"
},
{
"parameters": {
"functionCode": "// fetch last 15 analysis docs and concatenate\nconst drive = this.getNodeParameter('drive', 0);\n// pseudo-code: you'll replace with actual Drive API calls\nreturn [{ json: { masterAnalysis: '<<COMPILED_ANALYSIS_TEXT>>' } }];"
},
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
1200,
-100
],
"id": "CompileMaster",
"name": "Compile Master Analysis"
},
{
"parameters": {
"model": "claude-3-7-sonnet-20250219",
"input": "={{\n `Based on the compiled analysis below, please create detailed profiles for 3-5 segments:\n\n` +\n `<<PASTE MASTER_ANALYSIS>>\n\n` +\n `For each, provide: Name, Core Traits, Psychological Profile, Language Patterns, Conversion Keys.\n`}}"
},
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1,
"position": [
1400,
-100
],
"id": "SegmentAnalysis",
"name": "Run Segmentation Prompt"
},
{
"parameters": {
"operation": "create",
"databaseId": "{{NOTION_DB_ID}}",
"properties": {
"Name": {
"title": [
{
"text": {
"content": "={{ 'Segments for ' + new Date().toISOString().split('T')[0] }}"
}
}
]
},
"Status": {
"select": {
"name": "Needs Review"
}
},
"Segments": {
"rich_text": [
{
"text": {
"content": "={{ $json }}"
}
}
]
}
}
},
"type": "n8n-nodes-base.notion",
"typeVersion": 2,
"position": [
1600,
-100
],
"id": "NotionCreate",
"name": "Publish Segments to Notion"
},
{
"parameters": {
"authentication": "oAuth2",
"select": "channel",
"channel": "{{SLACK_CHANNEL_ID}}",
"text": "Segments ready for review: <!here> Please review the Notion entry."
},
"type": "n8n-nodes-base.slack",
"typeVersion": 2,
"position": [
1800,
-100
],
"id": "SlackNotifyReview",
"name": "Slack: Ask for Review"
},
{
"parameters": {
"waitFor": "={{ $node[\"NotionCreate\"].json.properties.Status.select.name === 'Reviewed' }}"
},
"type": "n8n-nodes-base.wait",
"typeVersion": 1,
"position": [
2000,
-100
],
"id": "WaitForReview",
"name": "Wait for Notion Review"
},
{
"parameters": {
"loopData": "={{ JSON.parse($node[\"SegmentAnalysis\"].json).segments }}",
"key": "segment"
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 1,
"position": [
2200,
-100
],
"id": "LoopSegments",
"name": "Loop Over Segments"
},
{
"parameters": {
"model": "claude-3-7-sonnet-20250219",
"input": "={{\n `Create all pre-call assets for this segment:\n\nSegment Profile:\n` + $item(0).$node.LoopSegments.json.segment +\n `\n\nAssets: Email sequence, SMS flows, Thank-You page script, Trust PDF/video script.\n`}}"
},
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1,
"position": [
2400,
-100
],
"id": "GenerateAssets",
"name": "Generate Segment Assets"
},
{
"parameters": {
"authentication": "oAuth2",
"select": "channel",
"channel": "{{SLACK_CHANNEL_ID}}",
"text": "All assets generated for segment: `={{ $json.segment.name }}`. Check Drive folder."
},
"type": "n8n-nodes-base.slack",
"typeVersion": 2,
"position": [
2600,
-100
],
"id": "SlackDone",
"name": "Slack: Assets Ready"
}
],
"connections": {
"DriveTrigger": {
"main": [
[
{
"node": "DownloadTranscript",
"type": "main",
"index": 0
}
]
]
},
"DownloadTranscript": {
"main": [
[
{
"node": "ReadTranscript",
"type": "main",
"index": 0
}
]
]
},
"ReadTranscript": {
"main": [
[
{
"node": "ForensicAnalysis",
"type": "main",
"index": 0
}
]
]
},
"ForensicAnalysis": {
"main": [
[
{
"node": "CountTranscripts",
"type": "main",
"index": 0
}
]
]
},
"CountTranscripts": {
"main": [
[
{
"node": "CheckThreshold",
"type": "main",
"index": 0
}
]
]
},
"CheckThreshold": {
"main": [
[
{
"node": "CompileMaster",
"type": "main",
"index": 0
}
],
[]
]
},
"CompileMaster": {
"main": [
[
{
"node": "SegmentAnalysis",
"type": "main",
"index": 0
}
]
]
},
"SegmentAnalysis": {
"main": [
[
{
"node": "NotionCreate",
"type": "main",
"index": 0
}
]
]
},
"NotionCreate": {
"main": [
[
{
"node": "SlackNotifyReview",
"type": "main",
"index": 0
}
]
]
},
"SlackNotifyReview": {
"main": [
[
{
"node": "WaitForReview",
"type": "main",
"index": 0
}
]
]
},
"WaitForReview": {
"main": [
[
{
"node": "LoopSegments",
"type": "main",
"index": 0
}
]
]
},
"LoopSegments": {
"main": [
[
{
"node": "GenerateAssets",
"type": "main",
"index": 0
}
]
]
},
"GenerateAssets": {
"main": [
[
{
"node": "SlackDone",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {},
"versionId": "1.0.0"
}
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About this workflow
Pre-Call Nurture Pipeline. Uses googleDriveTrigger, googleDrive, readBinaryFile, lmChatAnthropic. Event-driven trigger; 14 nodes.
Source: https://gist.github.com/ngrin10/f4e50b110dd85067f328fa0806b204df — original creator credit. Request a take-down →
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