Avinash Raju This workflow corresponds to n8n.io template #10751 — we link there as the canonical source.
This workflow follows the Agent → Google Drive recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "Rq47x8l5jPZ0LaUD",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "AI Sales Call Analyst",
"tags": [],
"nodes": [
{
"id": "45436c7f-d535-48ab-bba6-09e938635cc5",
"name": "Fireflies Webhook Trigger",
"type": "n8n-nodes-base.webhook",
"position": [
1728,
400
],
"parameters": {
"path": "fireflies-call-completed",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2.1
},
{
"id": "e7595515-a84c-4888-811a-52f020d1f3c0",
"name": "Get AI App ID",
"type": "n8n-nodes-base.httpRequest",
"position": [
2784,
336
],
"parameters": {
"url": "https://api.fireflies.ai/graphql",
"method": "POST",
"options": {},
"jsonBody": "={\n \"query\": \"query GetAIAppsOutputs($transcriptId: String) { apps(transcript_id: $transcriptId) { outputs { transcript_id user_id app_id created_at title prompt response } } }\",\n \"variables\": {\n \"transcriptId\": \"{{ $json.transcript_id }}\"\n }\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer YOUR_TOKEN_HERE"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "855b748d-4126-4401-af4a-f0c2af428e40",
"name": "Gets Latest Meeting",
"type": "n8n-nodes-base.code",
"position": [
2608,
336
],
"parameters": {
"jsCode": "// Flatten all data objects from the wrapped \"success/data\" structure\nconst transcripts = items.map(item => item.json.data);\n\n// Sort by dateString descending\ntranscripts.sort((a, b) => new Date(b.dateString) - new Date(a.dateString));\n\n// Pick the most recent\nconst latest = transcripts[0];\n\n// Return transcript ID and relevant info\nreturn [\n {\n json: {\n transcript_id: latest.id,\n title: latest.title,\n meeting_date: latest.dateString,\n organizer_email: latest.organizer_email,\n meeting_link: latest.meeting_link\n }\n }\n];"
},
"typeVersion": 2
},
{
"id": "cfad5e36-741c-488c-ab0e-fecff8d560ad",
"name": "Get outputs of an AI app 1",
"type": "@firefliesai/n8n-nodes-fireflies.fireflies",
"position": [
2608,
528
],
"parameters": {
"appId": "={{ $('Get AI App ID').item.json.data.apps.outputs[0].app_id }}",
"resource": "aiApp",
"transcriptId": "={{ $('Get AI App ID').item.json.data.apps.outputs[0].transcript_id }}"
},
"credentials": {
"firefliesApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "dd59718c-c8d8-44f1-92e5-49b783086c2e",
"name": "Get outputs of an AI app 2",
"type": "@firefliesai/n8n-nodes-fireflies.fireflies",
"position": [
2800,
528
],
"parameters": {
"appId": "={{ $('Get AI App ID').item.json.data.apps.outputs[1].app_id }}",
"resource": "aiApp",
"transcriptId": "={{ $json.data.transcript_id }}"
},
"credentials": {
"firefliesApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "645bdc52-86a5-4fa3-b937-20e3b74d5f4a",
"name": "When clicking \u2018Execute workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
1712,
576
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9ba4dbca-bce4-4d68-8135-0e36313f9f1b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1712,
320
],
"parameters": {
"color": 4,
"width": 640,
"height": 224,
"content": "## Post-Meeting Trigger\n"
},
"typeVersion": 1
},
{
"id": "0e017259-a589-4a35-b732-d2acf815855f",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2352,
144
],
"parameters": {
"color": 6,
"width": 672,
"height": 544,
"content": "## Meeting Intelligence \n**Transcripts** \n**Meeting Summaries**\n**Objection Lists**\n**AI Apps**"
},
"typeVersion": 1
},
{
"id": "240653bb-583d-4ed3-90f2-59d06db649a5",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
3024,
144
],
"parameters": {
"color": 3,
"width": 672,
"height": 544,
"content": "## Sales Call Analyst\n**Analyzes Objection Handling, Call Effectiveness and constructs rep feedback**"
},
"typeVersion": 1
},
{
"id": "32d114d2-5925-4850-8be8-ff6f96518552",
"name": "OpenAI Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3232,
576
],
"parameters": {
"model": {
"__rl": true,
"mode": "id",
"value": "gpt-4o"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "23c4cbf6-cb61-4019-b866-9756af472f0d",
"name": "Call Analysis Output Structure",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
3440,
560
],
"parameters": {
"jsonSchemaExample": "{\n \"metadata\": {\n \"rep_name\": \"Sarah Johnson\",\n \"call_type\": \"Discovery\",\n \"call_date\": \"2025-11-09\"\n },\n \"objections\": [\n {\n \"category\": \"Price/Budget\",\n \"customer_quote\": \"This seems expensive for our current budget\",\n \"rep_response\": \"Let me show you the ROI breakdown\",\n \"severity\": \"Critical\",\n \"resolved\": \"Partially\"\n }\n ],\n \"summary\": {\n \"top_objection_categories\": [\"Price/Budget\", \"Timeline/Urgency\"],\n \"unresolved_objections\": [\"Budget approval needed\"],\n \"what_went_well\": [\"Good rapport building\"],\n \"improvement_opportunities\": [\"Address pricing earlier\"],\n \"next_steps_for_rep\": [\"Send ROI calculator\"]\n },\n \"slack_summary\": \"Sarah handled 1 objection \u2014 mostly around pricing. One remains partially resolved. Focus next time on addressing budget concerns earlier in discovery.\"\n}"
},
"typeVersion": 1.3
},
{
"id": "1b812394-6790-4e0c-9650-31e670972fe6",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
3696,
144
],
"parameters": {
"width": 576,
"height": 544,
"content": "## Send Feedback\n**Publishes to Google Docs Folder and instantly sends feedback to reps**"
},
"typeVersion": 1
},
{
"id": "5cd1a7dd-e231-423f-9528-76130e48c05a",
"name": "Create file from text",
"type": "n8n-nodes-base.googleDrive",
"position": [
3792,
512
],
"parameters": {
"name": "={{ $('Format Analysis Results').item.json.output.metadata.rep_name }} : {{ $('Format Analysis Results').item.json.output.metadata.call_type }} Analysis {{ $('Format Analysis Results').item.json.output.metadata.call_date }}",
"content": "=\ud83c\udfaf Call Analysis for {{ $('Format Analysis Results').first().json.repName }}\n\n\ud83d\udcdd Call Summary:\n{{ $('AI Call Analyzer').item.json.output.slack_summary }}\n\n\ud83d\udcde Call Details:\n\u2022 Type: {{ $('Format Analysis Results').first().json.callType }}\n\u2022 Date: {{ $('Format Analysis Results').first().json.callDate }}\n\n\ud83d\udca1 Sales Insights:\n\u2022 Objections Unresolved: {{ $('Format Analysis Results').item.json.output.summary.unresolved_objections }}\n\n\u2705 What Went Well:\n{{ $('Format Analysis Results').first().json.whatWentWell }}\n\n\ud83d\udd27 Areas for Improvement:\n{{ $('Format Analysis Results').item.json.output.summary.improvement_opportunities }}\n\n\u27a1\ufe0f Next Steps:\n{{ $('Format Analysis Results').first().json.nextSteps }}\n",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "list",
"value": "13mBSy9gFR7OFq_LvnxEVCS0jbJ_UtEko",
"cachedResultUrl": "https://drive.google.com/drive/folders/13mBSy9gFR7OFq_LvnxEVCS0jbJ_UtEko",
"cachedResultName": "Sales Call Rep Feedback - Records"
},
"operation": "createFromText"
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "a9ba2328-312c-4c4f-8893-64036bf440c3",
"name": "Wait",
"type": "n8n-nodes-base.wait",
"position": [
1920,
400
],
"parameters": {
"unit": "minutes",
"amount": 8
},
"typeVersion": 1.1
},
{
"id": "a01131ea-4fbe-41bd-8502-59c821724dff",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1712,
160
],
"parameters": {
"color": 2,
"width": 608,
"height": 128,
"content": "# AI Sales Call Analyst\n**Analyzes Sales Calls, Objection Handling and Provides Rep Feedback**"
},
"typeVersion": 1
},
{
"id": "9d227d90-2909-454a-a8c7-e05399e28706",
"name": "AI Call Analyzer",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
3312,
352
],
"parameters": {
"text": "=AI Sales Agent \u2013 Objection Analyst (with Slack Summary)\n\nRole:\nYou analyze sales calls for objections, using:\n\t\u2022\tFireflies Key Objections List\n\t\u2022\tFireflies Objection Handler report\n\t\u2022\tCall transcript + metadata\n\nYour output must be clean JSON + a 1\u20132 sentence Slack summary.\n\n\u2e3b\n\nInput Variables\n\nRep Name: {{ $('Prepare Call Data').item.json.repName }}\nTranscript: {{ $('Prepare Call Data').item.json.transcript }}\nFireflies_Key_Objections_List: {{ $('Prepare Call Data').item.json.keyObjections }}\nFireflies_Objection_Handler: {{ $('Prepare Call Data').item.json.objectionHandler }}\n\nOutput Format (JSON Only)\n\n{\n \"metadata\": {\n \"rep_name\": \"\",\n \"call_type\": \"\",\n \"call_date\": \"\"\n },\n \"objections\": [\n {\n \"category\": \"\",\n \"customer_quote\": \"\",\n \"rep_response\": \"\",\n \"severity\": \"Critical / Moderate / Minor\",\n \"resolved\": \"Yes / Partially / No\"\n }\n ],\n \"summary\": {\n \"top_objection_categories\": [],\n \"unresolved_objections\": [],\n \"what_went_well\": [],\n \"improvement_opportunities\": [],\n \"next_steps_for_rep\": []\n },\n \"slack_summary\": \"\"\n}\n\n\n\u2e3b\n\nSlack Summary Rule\n\nGenerate a 1\u20132 sentence summary like this:\n\n\u201c{rep_name} handled {number} objections today \u2014 top concerns were {top categories}. {unresolved count} need follow-up. Main improvement area: {key improvement}.\u201d\n\nExample:\n\u201cSarah handled 4 objections \u2014 mostly around pricing and implementation. Two remain unresolved. Focus next time on clarifying ROI earlier in the call.\u201d\n\n\u2e3b\n\nRules\n\t\u2022\tUse only these objection categories:\nPrice/Budget, Timeline/Urgency, Authority/Decision, Need/Fit, Trust/Risk, Competition, Technical/Implementation, Contract/Legal\n\t\u2022\tMerge data from Fireflies outputs \u2014 remove duplicates\n\t\u2022\tKeep quotes short, verbatim\n\t\u2022\tDo not hallucinate or add fictional data\n\t\u2022\tNo extra commentary outside the JSON",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2.2
},
{
"id": "bf8d86bd-1242-43eb-b275-1d3a2112d6c6",
"name": "Get a list of transcripts",
"type": "@firefliesai/n8n-nodes-fireflies.fireflies",
"position": [
2416,
336
],
"parameters": {
"filters": {},
"operation": "getTranscriptsList"
},
"credentials": {
"firefliesApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "e78413ec-10d5-4324-ad6e-f8fd38f482cc",
"name": "Get a summary of a transcript",
"type": "@firefliesai/n8n-nodes-fireflies.fireflies",
"position": [
2416,
528
],
"parameters": {
"operation": "getTranscriptSummary",
"transcriptId": "={{ $('Gets Latest Meeting').item.json.transcript_id }}"
},
"credentials": {
"firefliesApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "79587f4f-fb1c-47ad-b41b-e642ede446ae",
"name": "Prepare Call Data",
"type": "n8n-nodes-base.set",
"position": [
3104,
352
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "id-1",
"name": "transcript",
"type": "string",
"value": "={{ $('Get a summary of a transcript').item.json.data.summary.short_summary }}"
},
{
"id": "id-2",
"name": "callType",
"type": "string",
"value": "=Sales Call / Consultation"
},
{
"id": "id-3",
"name": "repName",
"type": "string",
"value": "=Avi"
},
{
"id": "c092fcfd-4efb-4f22-a7b3-f316d25a5e62",
"name": "keyObjections",
"type": "string",
"value": "={{ $('Get outputs of an AI app 1').item.json.data.response }}"
},
{
"id": "3b6abbfa-c799-4009-86b3-21525aef02a5",
"name": "objectionHandler",
"type": "string",
"value": "={{ $('Get outputs of an AI app 2').item.json.data.response }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "24f73f38-e5f4-465e-a96d-f455c801493c",
"name": "Format Analysis Results",
"type": "n8n-nodes-base.set",
"position": [
3792,
304
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "id-1",
"name": "repName",
"type": "string",
"value": "={{ $('Prepare Call Data').first().json.repName }}"
},
{
"id": "id-2",
"name": "callType",
"type": "string",
"value": "={{ $('Prepare Call Data').first().json.callType }}"
},
{
"id": "id-3",
"name": "callDate",
"type": "string",
"value": "={{ $json.output.metadata.call_date }}"
},
{
"id": "id-5",
"name": "objections",
"type": "string",
"value": "={{ $json.output.objections.map(o => `\u2022 Category: ${o.category}\\n Customer Quote: \"${o.customer_quote}\"\\n Severity: ${o.severity}\\n Resolved: ${o.resolved}\\n`).join('\\n') }}"
},
{
"id": "id-10",
"name": "whatWentWell",
"type": "array",
"value": "={{ $json.output.summary.what_went_well }}"
},
{
"id": "id-11",
"name": "improvements_opportunities",
"type": "array",
"value": "={{ $json.output.summary.improvement_opportunities }}"
},
{
"id": "id-15",
"name": "nextSteps",
"type": "array",
"value": "={{ $json.output.summary.next_steps_for_rep }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "112f7f7e-0d31-452a-a070-7f0609d9cd7d",
"name": "Send Rep Feedback to Slack",
"type": "n8n-nodes-base.slack",
"position": [
4032,
304
],
"parameters": {
"text": "=\ud83c\udfaf *Call Analysis for {{ $('Format Analysis Results').first().json.repName }}*\n\n\ud83d\udcdd*Call Summary:*\n{{ $('AI Call Analyzer').item.json.output.slack_summary }}\n\n\ud83d\udcde *Call Details:*\n\u2022 Type: {{ $('Format Analysis Results').first().json.callType }}\n\u2022 Date: {{ $('Format Analysis Results').first().json.callDate }}\n\n\ud83d\udca1 *Sales Insights:*\n\u2022 Objections Unresolved: {{ $json.output.summary.unresolved_objections }}\n\n\u2705 *What Went Well:*\n{{ $('Format Analysis Results').first().json.whatWentWell }}\n\n\ud83d\udd27 *Areas for Improvement:*\n{{ $json.output.summary.improvement_opportunities }}\n\n\u27a1\ufe0f *Next Steps:*\n{{ $('Format Analysis Results').first().json.nextSteps }}\n\n\n",
"user": {
"__rl": true,
"mode": "list",
"value": "U091WTHG96J",
"cachedResultName": "avinashraju05"
},
"select": "user",
"otherOptions": {},
"authentication": "oAuth2"
},
"credentials": {
"slackOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 2.3
},
{
"id": "9bcc0d0d-0060-4412-9c95-bb8c8bf3c7c2",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
976,
80
],
"parameters": {
"width": 656,
"height": 672,
"content": "# AI Sales Call Analyst\n**Analyzes Sales Calls, Objection Handling and Provides Rep Feedback**\n\n## How it works\n1. **Post-Meeting Trigger**: Fireflies webhook triggers workflow after call ends\n2. **Meeting Intelligence**: Retrieves transcript, meeting summary, and objection lists from Fireflies\n3. **Sales Call Analyst**: AI analyzes objection handling, call effectiveness, and constructs rep feedback using OpenAI\n4. **Send Feedback**: Publishes analysis to Google Docs folder and sends feedback to rep via Slack\n\n## How to set up\n- **Connect Fireflies**: Set up webhook trigger for post-meeting events\n- **Add OpenAI key**: Configure your OpenAI API credentials\n- **Connect Slack**: Authorize Slack integration for sending feedback\n- **Connect Google Drive**: Set up folder for storing analysis documents\n\n## (Optional) Customization\n- **Analysis criteria**: Modify the AI prompts to focus on specific sales metrics or objection types\n- **Feedback format**: Customize the output structure and level of detail in rep feedback\n- **Distribution**: Add additional channels (email, CRM updates) for sharing insights"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "7650b969-94a5-4592-9d92-7333c289b107",
"connections": {
"Wait": {
"main": [
[
{
"node": "Get a list of transcripts",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Model": {
"ai_languageModel": [
[
{
"node": "AI Call Analyzer",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Get AI App ID": {
"main": [
[
{
"node": "Get a summary of a transcript",
"type": "main",
"index": 0
}
]
]
},
"AI Call Analyzer": {
"main": [
[
{
"node": "Format Analysis Results",
"type": "main",
"index": 0
}
]
]
},
"Prepare Call Data": {
"main": [
[
{
"node": "AI Call Analyzer",
"type": "main",
"index": 0
}
]
]
},
"Gets Latest Meeting": {
"main": [
[
{
"node": "Get AI App ID",
"type": "main",
"index": 0
}
]
]
},
"Format Analysis Results": {
"main": [
[
{
"node": "Send Rep Feedback to Slack",
"type": "main",
"index": 0
}
]
]
},
"Fireflies Webhook Trigger": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"Get a list of transcripts": {
"main": [
[
{
"node": "Gets Latest Meeting",
"type": "main",
"index": 0
}
]
]
},
"Get outputs of an AI app 1": {
"main": [
[
{
"node": "Get outputs of an AI app 2",
"type": "main",
"index": 0
}
]
]
},
"Get outputs of an AI app 2": {
"main": [
[
{
"node": "Prepare Call Data",
"type": "main",
"index": 0
}
]
]
},
"Send Rep Feedback to Slack": {
"main": [
[
{
"node": "Create file from text",
"type": "main",
"index": 0
}
]
]
},
"Get a summary of a transcript": {
"main": [
[
{
"node": "Get outputs of an AI app 1",
"type": "main",
"index": 0
}
]
]
},
"Call Analysis Output Structure": {
"ai_outputParser": [
[
{
"node": "AI Call Analyzer",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "Get a list of transcripts",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
firefliesApigoogleDriveOAuth2ApiopenAiApislackOAuth2Api
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
When a meeting ends in Fireflies, the transcript is automatically retrieved and sent to OpenAI for analysis. The AI evaluates objection handling, call effectiveness, and extracts key objections raised during the conversation. It then generates specific objection handlers for…
Source: https://n8n.io/workflows/10751/ — original creator credit. Request a take-down →
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