This workflow follows the HTTP Request → OpenAI recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "[SMM] Qualifizer v0.8 (\u0416\u043e\u0440\u0430 \u0433\u043b\u0430\u0432\u0431\u043e\u0441\u0441)",
"description": null,
"nodes": [
{
"id": "<uuid>",
"name": "Prepare Message Data",
"type": "n8n-nodes-base.code",
"position": [
16,
992
],
"parameters": {
"jsCode": "// ============================================\n// \u0418\u041d\u0418\u0426\u0418\u0410\u041b\u0418\u0417\u0410\u0426\u0418\u042f: \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0430\u043b\u044c\u043d\u0430\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0432\u0445\u043e\u0434\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445\n// ============================================\n\nconst inputData = $input.first().json;\n\nconst messageObject = inputData.message || null;\nconst userInput = inputData.userInput || null;\n\nlet telegramMessage = null;\n\nif (!messageObject && userInput) {\n try {\n telegramMessage = $('Telegram Trigger').first().json.message;\n } catch (e) {\n console.log('Failed to get Telegram Trigger data:', e);\n telegramMessage = null;\n }\n}\n\nlet replyObject = null;\n\nif (inputData.replyObject) {\n if (typeof inputData.replyObject === 'string') {\n try {\n replyObject = JSON.parse(inputData.replyObject);\n } catch (e) {\n console.log('Failed to parse replyObject:', e);\n replyObject = null;\n }\n } else {\n replyObject = inputData.replyObject;\n }\n}\n\nconst telegramData = messageObject || telegramMessage || inputData;\n\nif (!replyObject && telegramData.reply_to_message) {\n replyObject = telegramData.reply_to_message;\n}\n\nconst chatId = telegramData.chat?.id || telegramData.chat_id || replyObject?.chat?.id;\nconst userId = telegramData.from?.id || telegramData.user_id || replyObject?.from?.id;\nconst username = telegramData.from?.username || telegramData.username || replyObject?.from?.username || '';\nconst messageId = telegramData.message_id || inputData.message_id;\n\n// ============================================\n// \u041f\u0420\u041e\u0412\u0415\u0420\u041a\u0410 1: Forwarded message\n// ============================================\n\nconst forwardOrigin = telegramData.forward_origin || telegramData.forward_from;\nconst isForwarded = Boolean(forwardOrigin);\n\nif (isForwarded) {\n return {\n json: {\n message_id: messageId,\n chat_id: chatId,\n user_id: userId,\n username: username,\n text: telegramData.text || telegramData.caption || '',\n is_forwarded: true,\n forwarded_content: {\n text: telegramData.text || telegramData.caption || '',\n forward_date: telegramData.forward_date\n },\n is_reply: false,\n timestamp: new Date().toISOString()\n }\n };\n}\n\n// ============================================\n// \u041f\u0420\u041e\u0412\u0415\u0420\u041a\u0410 2: \u0424\u043e\u0442\u043e + caption (\u0413\u041e\u0422\u041e\u0412\u0410\u042f \u0417\u0410\u0414\u0410\u0427\u0410)\n// ============================================\n\nconst hasPhoto = !!telegramData.photo;\nconst caption = hasPhoto ? (telegramData.caption || null) : null;\nconst hasCaption = caption && caption.trim().length > 0;\n\nif (hasPhoto && hasCaption) {\n return {\n json: {\n message_id: messageId,\n chat_id: chatId,\n user_id: userId,\n username: username,\n text: caption,\n is_reply: Boolean(replyObject),\n reply_to_message_id: replyObject?.message_id || null,\n has_photo: true,\n photo_file_id: telegramData.photo[telegramData.photo.length - 1].file_id,\n is_ready_photo_task: true,\n timestamp: new Date().toISOString()\n }\n };\n}\n\n// ============================================\n// \u041f\u0420\u041e\u0412\u0415\u0420\u041a\u0410 3: \u0424\u043e\u0442\u043e \u0411\u0415\u0417 caption\n// ============================================\n\nif (hasPhoto && !hasCaption) {\n return {\n json: {\n message_id: messageId,\n chat_id: chatId,\n user_id: userId,\n username: username,\n photo: telegramData.photo,\n caption: null,\n is_reply: Boolean(replyObject),\n reply_to_message_id: replyObject?.message_id || null,\n timestamp: new Date().toISOString()\n }\n };\n}\n\n// ============================================\n// \u041f\u0420\u041e\u0412\u0415\u0420\u041a\u0410 4: \u041e\u0431\u044b\u0447\u043d\u043e\u0435 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435 (\u0442\u0435\u043a\u0441\u0442)\n// \u041d\u041e\u0412\u041e\u0415: \u0440\u0435\u0437\u043e\u043b\u0432 \u0432\u044b\u0431\u043e\u0440\u0430 \u0446\u0438\u0444\u0440\u043e\u0439 (1/2/3) \u0438\u0437 staticData\n// ============================================\n\nconst rawText = userInput || telegramData.text || '';\nconst numMatch = rawText.trim().match(/^[1-3]$/);\nlet resolvedText = rawText;\nlet selectedOption = null;\n\nif (numMatch) {\n const state = $getWorkflowStaticData('global');\n const stored = state[`options_${chatId}`];\n if (stored && stored.expires > Date.now() && Array.isArray(stored.options)) {\n const idx = parseInt(numMatch[0]) - 1;\n selectedOption = stored.options[idx] || null;\n if (selectedOption && selectedOption.request) {\n resolvedText = selectedOption.request;\n delete state[`options_${chatId}`];\n console.log('[PREPARE MSG] Option selected:', numMatch[0], '=>', resolvedText);\n }\n }\n}\n\nreturn {\n json: {\n message_id: messageId,\n chat_id: chatId,\n user_id: userId,\n username: username,\n text: resolvedText,\n is_reply: Boolean(replyObject),\n reply_to_message_id: replyObject?.message_id || null,\n timestamp: new Date().toISOString(),\n _selected_option: selectedOption\n }\n};"
},
"typeVersion": 2
},
{
"id": "<uuid>",
"name": "Telegram Trigger",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-1360,
1008
],
"parameters": {
"updates": [
"*"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.1
},
{
"id": "<uuid>",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1648,
832
],
"parameters": {
"color": 7,
"width": 2104,
"height": 432,
"content": "# \u2013\u2013\u2013> \u041f\u041e\u041b\u0423\u0427\u0418\u041b\n\n"
},
"typeVersion": 1
},
{
"id": "<uuid>",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
480,
832
],
"parameters": {
"color": 4,
"width": 1080,
"height": 432,
"content": "# \u0411\u0414"
},
"typeVersion": 1
},
{
"id": "<uuid>",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1488,
1456
],
"parameters": {
"color": 6,
"width": 1896,
"height": 688,
"content": "# \u2013\u2013\u2013> \u0412\u042b\u0411\u0420\u0410\u041b \u0414\u0415\u041f\u0410\u0420\u0422\u0410\u041c\u0415\u041d\u0422\n\n"
},
"typeVersion": 1
},
{
"id": "<uuid>",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
432,
1456
],
"parameters": {
"color": 7,
"width": 912,
"height": 960,
"content": "# \u2013\u2013\u2013> \u041e\u0422\u0414\u0410\u041b \u0412 \u0420\u0410\u0411\u041e\u0422\u0423"
},
"typeVersion": 1
},
{
"id": "<uuid>",
"name": "Download Voice File",
"type": "n8n-nodes-base.telegram",
"position": [
-752,
880
],
"parameters": {
"fileId": "={{ $json.message.voice.file_id }}",
"resource": "file",
"additionalFields": {
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "<uuid>",
"name": "Transcribe Audio",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-560,
880
],
"parameters": {
"options": {},
"resource": "audio",
"operation": "transcribe"
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.6
},
{
"id": "<uuid>",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
-176,
992
],
"parameters": {},
"typeVersion": 3.2
},
{
"id": "160fff6b-1d86-4304-a8c7-c<TG_USER_ID>d32",
"name": "Set Text",
"type": "n8n-nodes-base.set",
"position": [
-368,
1088
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "<uuid>",
"name": "userInput",
"type": "string",
"value": "={{ $json.message.text }}"
},
{
"id": "c90c8878-08a0-4db1-9b6b-18a<TG_USER_ID>",
"name": "replyObject",
"type": "string",
"value": "={{ $('Telegram Trigger').item.json.message.reply_to_message }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "<uuid>",
"name": "Set Voice",
"type": "n8n-nodes-base.set",
"position": [
-368,
880
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "<uuid>",
"name": "userInput",
"type": "string",
"value": "={{ $json.text }}"
},
{
"id": "<uuid>",
"name": "replyObject",
"type": "string",
"value": "={{ $('Telegram Trigger').item.json.message.reply_to_message }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "<uuid>",
"name": "Switch Message Type",
"type": "n8n-nodes-base.switch",
"position": [
208,
944
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "link",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "link-cond-01",
"operator": {
"type": "string",
"operation": "regex"
},
"leftValue": "={{ ($json.text || '') + ' ' + ($json.caption || '') + ' ' + ($json.forwarded_content?.text || '') }}",
"rightValue": "https?://"
}
]
},
"renameOutput": true
},
{
"outputKey": "command",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "<uuid>",
"operator": {
"type": "string",
"operation": "startsWith"
},
"leftValue": "={{ $json.text }}",
"rightValue": "/"
}
]
},
"renameOutput": true
},
{
"outputKey": "edit_photo",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "<uuid>",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.is_ready_photo_task }}",
"rightValue": "true"
}
]
},
"renameOutput": true
},
{
"outputKey": "photo_no_caption",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "<uuid>",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.photo && $json.photo.length > 0 && !$json.caption }}",
"rightValue": 5
}
]
},
"renameOutput": true
},
{
"outputKey": "forwarded",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "<uuid>",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.is_forwarded }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {
"fallbackOutput": "extra",
"renameFallbackOutput": "text"
}
},
"typeVersion": 3.3
},
{
"id": "<uuid>",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
480,
-176
],
"parameters": {
"color": 3,
"width": 904,
"height": 400,
"content": "## [\u043a\u043e\u043c\u0430\u043d\u0434\u0430] /start \u0438\u043b\u0438 /stop"
},
"typeVersion": 1
},
{
"id": "<uuid>",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
480,
240
],
"parameters": {
"width": 904,
"height": 272,
"content": "## [ \u0444\u043e\u0442\u043e ] \u043d\u043e \u0431\u0435\u0437 \u043f\u043e\u0434\u043f\u0438\u0441\u0438\n \n"
},
"typeVersion": 1
},
{
"id": "<uuid>",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
480,
528
],
"parameters": {
"color": 5,
"width": 720,
"height": 272,
"content": "## > > > \u043f\u0435\u0440\u0435\u0441\u043b\u0430\u043d\u043d\u043e\u0435\n"
},
"typeVersion": 1
},
{
"id": "<uuid>",
"name": "Switch Type",
"type": "n8n-nodes-base.switch",
"position": [
-944,
976
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Voice",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "<uuid>",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.voice.file_id }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Photo",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "<uuid>",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $json.message.photo.length }}",
"rightValue": 0
}
]
},
"renameOutput": true
},
{
"outputKey": "Text",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "<uuid>",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.text }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "<uuid>",
"name": "HTTP typing...",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"maxTries": 3,
"position": [
-1552,
1008
],
"parameters": {
"url": "https://api.telegram.org/bot<TG_USER_ID>:AAEsrbkAUgG7GFKpd_UqrjR0m8d8r3akSTM/sendChatAction",
"method": "POST",
"options": {
"timeout": 30000
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "chat_id",
"value": "={{ $json.message.from.id }}"
},
{
"name": "action",
"value": "typing"
}
]
}
},
"retryOnFail": true,
"typeVersion": 4.2,
"alwaysOutputData": true,
"waitBetweenTries": 2000
},
{
"id": "<uuid>",
"name": "Check Authorized User",
"type": "n8n-nodes-base.if",
"disabled": false,
"position": [
-1152,
1008
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "<uuid>",
"operator": {
"type": "number",
"operation": "equals"
},
"leftValue": "={{ $json.message.from.id }}",
"rightValue": "<BOSS_USER_ID>"
},
{
"id": "cartoonboss-auth",
"operator": {
"type": "number",
"operation": "equals"
},
"leftValue": "={{ $json.message.from.id }}",
"rightValue": "<TG_USER_ID>"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "call-cmd-sub",
"name": "Call Commands Sub",
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.3,
"position": [
544,
-48
],
"parameters": {
"workflowId": {
"__rl": true,
"mode": "list",
"value": "2TNavCr9XfeeXYHN",
"cachedResultName": "[HUB] \u0416\u043e\u0440\u0430 Commands"
},
"workflowInputs": {
"mappingMode": "passThrough",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"waitForSubWorkflow": true
}
},
{
"id": "set-mt-photo",
"name": "Set Media Type Photo",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
780,
240
],
"parameters": {
"assignments": {
"assignments": [
{
"id": "mt-p",
"name": "_media_type",
"type": "string",
"value": "photo"
}
]
},
"includeOtherFields": true,
"options": {}
}
},
{
"id": "set-mt-fwd",
"name": "Set Media Type Forward",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
780,
520
],
"parameters": {
"assignments": {
"assignments": [
{
"id": "mt-f",
"name": "_media_type",
"type": "string",
"value": "forward"
}
]
},
"includeOtherFields": true,
"options": {}
}
},
{
"id": "call-media-sub",
"name": "Call Media Sub",
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.3,
"position": [
1000,
400
],
"parameters": {
"workflowId": {
"__rl": true,
"mode": "list",
"value": "p7jpXhztHs77S2fT",
"cachedResultName": "[HUB] \u0416\u043e\u0440\u0430 Media"
},
"workflowInputs": {
"mappingMode": "passThrough",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"waitForSubWorkflow": true
}
},
{
"id": "call-cls-sub",
"name": "Call Classifier Sub",
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.3,
"position": [
0,
1100
],
"parameters": {
"workflowId": {
"__rl": true,
"mode": "list",
"value": "qtySxzjNAuv6DNg9",
"cachedResultName": "[HUB] \u0416\u043e\u0440\u0430 AI Classifier"
},
"workflowInputs": {
"mappingMode": "passThrough",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"waitForSubWorkflow": true
}
},
{
"id": "call-act-sub",
"name": "Call Action Sub",
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.3,
"position": [
400,
1100
],
"parameters": {
"workflowId": {
"__rl": true,
"mode": "list",
"value": "VnGlEDpzbmzGngFf",
"cachedResultName": "[HUB] \u0416\u043e\u0440\u0430 Action"
},
"workflowInputs": {
"mappingMode": "passThrough",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"waitForSubWorkflow": true
}
},
{
"id": "call-capture-sub",
"name": "Call Capture Sub",
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.2,
"position": [
544,
-350
],
"parameters": {
"workflowId": {
"__rl": true,
"mode": "list",
"value": "XfRhryytHjmF7H6m",
"cachedResultName": "[HUB] \u0416\u043e\u0440\u0430 Capture"
},
"workflowInputs": {
"mappingMode": "passThrough",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"waitForSubWorkflow": true
}
},
{
"id": "text-pass",
"name": "Text Pass",
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
400,
1400
],
"parameters": {}
}
],
"connections": {
"Prepare Message Data": {
"main": [
[
{
"node": "Switch Message Type",
"type": "main",
"index": 0
}
]
]
},
"Telegram Trigger": {
"main": [
[
{
"node": "HTTP typing...",
"type": "main",
"index": 0
},
{
"node": "Check Authorized User",
"type": "main",
"index": 0
}
]
]
},
"Download Voice File": {
"main": [
[
{
"node": "Transcribe Audio",
"type": "main",
"index": 0
}
]
]
},
"Transcribe Audio": {
"main": [
[
{
"node": "Set Voice",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Prepare Message Data",
"type": "main",
"index": 0
}
]
]
},
"Set Text": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Set Voice": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Switch Type": {
"main": [
[
{
"node": "Download Voice File",
"type": "main",
"index": 0
}
],
[
{
"node": "Merge",
"type": "main",
"index": 1
}
],
[
{
"node": "Set Text",
"type": "main",
"index": 0
}
]
]
},
"Check Authorized User": {
"main": [
[
{
"node": "Switch Type",
"type": "main",
"index": 0
}
]
]
},
"Set Media Type Photo": {
"main": [
[
{
"node": "Call Media Sub",
"type": "main",
"index": 0
}
]
]
},
"Set Media Type Forward": {
"main": [
[
{
"node": "Call Media Sub",
"type": "main",
"index": 0
}
]
]
},
"Call Classifier Sub": {
"main": [
[
{
"node": "Call Action Sub",
"type": "main",
"index": 0
}
]
]
},
"Switch Message Type": {
"main": [
[
{
"node": "Call Capture Sub",
"type": "main",
"index": 0
}
],
[
{
"node": "Call Commands Sub",
"type": "main",
"index": 0
}
],
[
{
"node": "Call Classifier Sub",
"type": "main",
"index": 0
}
],
[
{
"node": "Set Media Type Photo",
"type": "main",
"index": 0
}
],
[
{
"node": "Set Media Type Forward",
"type": "main",
"index": 0
}
],
[
{
"node": "Text Pass",
"type": "main",
"index": 0
}
]
]
},
"Text Pass": {
"main": [
[
{
"node": "Call Classifier Sub",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"timezone": "Europe/Moscow",
"callerPolicy": "workflowsFromSameOwner",
"errorWorkflow": "O6BjG1ublqWZ1KWk",
"availableInMCP": false,
"executionOrder": "v1"
},
"staticData": {}
}
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.
openAiApitelegramApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
This workflow automates the qualification of social media leads by capturing voice messages from Telegram, transcribing them with OpenAI, and analysing the content to determine lead viability, saving you hours of manual review and helping prioritise high-potential prospects. It's designed for social media managers handling inbound inquiries via Telegram channels, enabling quick responses to qualified leads while filtering out low-value ones. The key step involves the OpenAI transcription node, which converts audio to text for subsequent AI-driven evaluation and automated Telegram replies.
Use this workflow when managing high-volume Telegram interactions for lead generation, such as in customer support or sales funnels, to streamline triage without constant monitoring. Avoid it for text-only communications or if you lack OpenAI API access, as it relies heavily on voice processing. Common variations include adding HTTP requests to integrate with CRM tools like HubSpot for direct lead logging, or customising the AI prompts for industry-specific qualification criteria.
About this workflow
[SMM] Qualifizer v0.8 (Жора главбосс). Uses telegramTrigger, telegram, openAi, httpRequest. Event-driven trigger; 26 nodes.
Source: https://github.com/mike-prokhorov/n8n-automation-templates/blob/main/n8n-multi-agent-orchestrator/workflows/06_qualifier.json — original creator credit. Request a take-down →
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