This workflow follows the Agent → Documentdefaultdataloader 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 →
{
"name": "Parents smart bot",
"nodes": [
{
"parameters": {
"updates": [
"message"
],
"additionalFields": {
"download": true
}
},
"type": "n8n-nodes-base.telegramTrigger",
"typeVersion": 1.2,
"position": [
-560,
20
],
"id": "a1117c0e-8fcc-4de6-b5c3-fe76ea10b975",
"name": "Telegram Trigger",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.text }} {{ $json.fullPrompt }}\n",
"options": {
"systemMessage": "=# Overview\nYou are the central brain of a smart personal assistant built especially for busy parents. \nYour job is to understand the user's intent and delegate the request to the most appropriate specialized agent (tool). \nYou do not generate content yourself \u2014 only orchestrate which tool should do what.\n\nYou\u2019re here to help parents stay organized, reduce cognitive load, and make their lives easier \u2013 whether it's managing appointments, messaging people, creating content, or helping with daily logistics.\n\n## Tools\n- Email Agent: Use this tool to take action in email.\n- Calendar Agent: Use this tool to take action in calendar.\n- Contact Agent: Use this to get, update, or add contacts (like the doctor, the teacher, family, etc).\n- Content Creator Agent: Use this for generating any written content \u2014 reminders, messages, summaries, posts, etc.\n- Tavily: Use this to search the web and gather quick facts or ideas.\n- Calculator: Use this tool to perform calculations or evaluate numerical expressions when needed\n\n## Rules\n- Never write emails, posts, or summaries yourself. Always delegate to the appropriate Agent.\n- When sending an email or creating an event that involves people, you must first get their contact details via the Contact Agent, then pass them to the relevant tool.\n- When a task involves written communication (like messages, reminders, social posts, or summaries), use the Content Creator Agent. Include in your instruction:\n - What kind of content is needed\n - Who it is for (e.g. wife, teacher, LinkedIn)\n - What the tone should be (supportive, excited, reflective)\n - That it should be written in Hebrew\n\n- If the request is to \"write a post\" or \"LinkedIn post\", instruct the Content Creator Agent to use **LinkedIn Mode**.\n\n## Special Use Cases\n- Natural language reminders like \u201cDoctor appointment for Maya on Tuesday at 16:00\u201d \u2192 use Calendar Agent.\n- Quick tasks like \u201cSend a thank-you message to the kindergarten teacher\u201d \u2192 use Contact Agent \u2192 then Email Agent.\n- Content requests like \u201cWrite a LinkedIn post about parenting and tech\u201d \u2192 instruct the Content Creator Agent accordingly.\n\n## Tone\nAlways be warm, calm, and empathetic \u2014 like a personal family assistant. \nUse simple, human language that\u2019s gentle, proactive, and respectful. \nAssume you\u2019re often speaking to a multitasking parent (especially mom \ud83d\ude05).\n\n## Final Check Before Responding\n- \ud83d\udd04 **Language**: Ensure your final response is in **Hebrew**. If not, translate it accurately while keeping the tone and meaning.\n- \ud83d\udcac **Tone**: Ensure the final message is soft, personal, and appropriate for a family context.\n- Do not send robotic or dry messages \u2014 always aim for warmth and helpfulness.\n\n---\n\n## Output Structure\nWhenever you delegate a task to the Content Creator Agent, provide it with:\n- A short, clear instruction of what to write\n- Target audience (e.g. my wife, my team, LinkedIn)\n- Desired tone (e.g. friendly, professional, celebratory)\n- Indicate Hebrew as the language\n"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7,
"position": [
1820,
0
],
"id": "b22f36e2-563d-428e-a4dc-41d5135d3174",
"name": "Ultimate Assistant"
},
{
"parameters": {
"name": "emailAgent",
"description": "Call this tool for any email actions.",
"workflowId": {
"__rl": true,
"value": "MuzLEMDHERvU0CMD",
"mode": "list",
"cachedResultName": "Email Agent"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 2,
"position": [
1700,
440
],
"id": "f7874c27-c85c-438f-bdef-7ac9fce3b305",
"name": "Email Agent"
},
{
"parameters": {
"name": "contactAgent",
"description": "Call this tool for any contact related actions.",
"workflowId": {
"__rl": true,
"value": "IsSUyrla7wc1cDLE",
"mode": "list",
"cachedResultName": "\ud83e\udd16Contact Agent"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 2,
"position": [
1940,
440
],
"id": "4e75c746-beb8-45b6-bfbc-1edf184dc2d4",
"name": "Contact Agent"
},
{
"parameters": {
"name": "contentCreator",
"description": "Call this tool whenever you need to create any kind of written content for the user. \nThis includes but is not limited to: reminders, messages, summaries, emails, posts, or even fun or empathetic replies. \n",
"workflowId": {
"__rl": true,
"value": "MTO7R5h1y1XSuN5o",
"mode": "list",
"cachedResultName": "Content Agent"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 2,
"position": [
2080,
440
],
"id": "63f55d55-1a46-49d2-9113-2db2edf6682a",
"name": "Content Creator Agent"
},
{
"parameters": {
"toolDescription": "Use this tool to search the internet",
"method": "POST",
"url": "https://api.tavily.com/search",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "{\n \"api_key\": \"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\",\n \"query\": \"{searchTerm}\",\n \"search_depth\": \"basic\",\n \"include_answer\": true,\n \"topic\": \"news\",\n \"include_raw_content\": true,\n \"max_results\": 3\n} ",
"placeholderDefinitions": {
"values": [
{
"name": "searchTerm",
"description": "What the user has requested to search the internet for",
"type": "string"
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"typeVersion": 1.1,
"position": [
2200,
440
],
"id": "cdd8d779-053b-4147-8f0b-85db923711bf",
"name": "Tavily"
},
{
"parameters": {
"name": "calendarAgent",
"description": "Call this tool for any calendar action.",
"workflowId": {
"__rl": true,
"value": "QbIV4MIEmgQG4nUa",
"mode": "list",
"cachedResultName": "Calender Agent"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 2,
"position": [
1820,
440
],
"id": "aabea6d5-06b5-4c70-b140-78a6edc277ca",
"name": "Calendar Agent"
},
{
"parameters": {
"resource": "file",
"fileId": "={{ $json.message.voice.file_id }}"
},
"id": "5dc59107-b53e-47a3-9dc6-cdafe449f8da",
"name": "Download File",
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
0,
-160
],
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "audio",
"operation": "transcribe",
"options": {}
},
"id": "9d7d1d10-4266-4b31-9f2f-cc249be68b65",
"name": "Transcribe",
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 1.6,
"position": [
200,
-160
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"typeVersion": 1,
"position": [
2320,
440
],
"id": "6ef56cfc-702f-4007-9d7a-d0778805b892",
"name": "Calculator1"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "fe7ecc99-e1e8-4a5e-bdd6-6fce9757b234",
"name": "text",
"value": "={{ $json.message.text }}",
"type": "string"
}
]
},
"options": {}
},
"id": "d4ce9e05-bbba-47e7-a23b-8a2aed82dc7b",
"name": "Set 'Text'1",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
240,
20
]
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"leftValue": "={{ $json.message.voice.file_id }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"id": "198d228f-dd5a-4a53-9cb9-de6fc2adff2b"
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "Voice"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "8c844924-b2ed-48b0-935c-c66a8fd0c778",
"leftValue": "={{ $json.message.text }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "Text"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "42930344-1ca2-4298-aa5e-4e8884602e5f",
"leftValue": "",
"rightValue": "",
"operator": {
"type": "object",
"operation": "exists",
"singleValue": true
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "File"
}
]
},
"options": {}
},
"id": "fde8c340-fcf2-4bc3-a23d-d669ec9a58b0",
"name": "Switch1",
"type": "n8n-nodes-base.switch",
"typeVersion": 3.2,
"position": [
-240,
20
]
},
{
"parameters": {
"chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
"text": "={{ $json.output }}",
"additionalFields": {
"appendAttribution": false
}
},
"id": "f529779d-a9f8-4854-96ec-c8780a90c8ae",
"name": "Response1",
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
2320,
0
],
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolWikipedia",
"typeVersion": 1,
"position": [
2440,
440
],
"id": "87dead2c-0287-44cf-9650-78004a35af4a",
"name": "Wikipedia"
},
{
"parameters": {
"mode": "insert",
"qdrantCollection": {
"__rl": true,
"value": "family-memory",
"mode": "list",
"cachedResultName": "family-memory"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"typeVersion": 1.1,
"position": [
720,
460
],
"id": "40084dad-2aa7-4b51-af93-de38fcd585b5",
"name": "Qdrant Vector Store",
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsonMode": "expressionData",
"jsonData": "={{ $json.text }}\n",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1,
"position": [
840,
660
],
"id": "91f01d4b-6afc-4698-91c9-83c06fe2a209",
"name": "Default Data Loader"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"typeVersion": 1,
"position": [
860,
840
],
"id": "d34f1e08-2521-4fc2-aa06-017f148b57f7",
"name": "Recursive Character Text Splitter"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-3.5-turbo",
"mode": "list",
"cachedResultName": "gpt-3.5-turbo"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
1720,
160
],
"id": "f0fbf5b5-32bc-4051-b1b1-4741899716e1",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": "text-embedding-ada-002",
"options": {
"stripNewLines": true
}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
700,
720
],
"id": "e4b062ff-255f-42e8-b0c1-4c5545e71097",
"name": "Embeddings OpenAI1",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "retrieve-as-tool",
"toolName": "memory_store",
"toolDescription": "Call this tool to Retrieve relevant family information to give context to the assistant's decisions. Includes names, roles, events, and personal preferences.\n",
"qdrantCollection": {
"__rl": true,
"value": "family-memory",
"mode": "list",
"cachedResultName": "family-memory"
},
"topK": 5,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"typeVersion": 1.1,
"position": [
2580,
440
],
"id": "508156dc-fa2e-41f2-a8bf-633d4cab2a9f",
"name": "Qdrant Vector Store1",
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
2560,
580
],
"id": "84db19a0-8eec-4aea-abfd-e94d88905a56",
"name": "Embeddings OpenAI",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{ $('Telegram Trigger').item.json.message.chat.id }}"
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
1860,
200
],
"id": "4b5ea288-2d75-4bb8-91b0-e900c44dda1f",
"name": "Window Buffer Memory"
},
{
"parameters": {
"resource": "file",
"fileId": "={{ $json.message.document.file_id }}\n"
},
"id": "9c9c0578-d849-4250-9d99-8d500272031f",
"name": "Download File1",
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
-240,
280
],
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const fileContent = JSON.parse(Buffer.from($input.first().binary.data.data, 'base64').toString());\nreturn fileContent.map(item => ({\n json: {\n id: item.id,\n text: item.text,\n metadata: item.metadata,\n }\n}));\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-280,
560
],
"id": "b67a9ed8-2095-4402-ab93-c99363e5f496",
"name": "Code",
"retryOnFail": true,
"onError": "continueErrorOutput"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "79412a1a-5b1e-48d9-85c0-f514590d4de6",
"leftValue": "={{$json.text}}",
"rightValue": "/(\u05de\u05d9\u05d4|\u05e9\u05d5\u05d4\u05dd|\u05e0\u05d5\u05d9|\u05d2\u05df|\u05d7\u05d5\u05d2|\u05e8\u05d5\u05e4\u05d0|\u05e1\u05d1\u05ea\u05d0|\u05e9\u05d9\u05e9\u05d9|\u05e9\u05dc\u05d9\u05e9\u05d9|\u05ea\u05d6\u05db\u05d5\u05e8\u05ea|\u05d9\u05e9|\u05d1\u05d9\u05d5\u05dd|\u05d1\u05e2\u05d1\u05d5\u05d3\u05d4|\u05d1\u05d1\u05d9\u05ea \u05e1\u05e4\u05e8)/i",
"operator": {
"type": "string",
"operation": "regex"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
460,
20
],
"id": "f4fcbe6b-998f-44bb-bbcf-cc7829fc280a",
"name": "If"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "e7ce88f3-4e65-46cd-9c10-800ce2f83ae4",
"name": "text",
"value": "={{ $json.text }}",
"type": "string"
},
{
"id": "2e4f47c6-a94d-4d69-b5c0-b366a99914c1",
"name": "metadata.source",
"value": "\"user_message\"",
"type": "string"
},
{
"id": "dbfd95ac-3101-4548-a1a1-441d34ee455c",
"name": "metadata.timestamp",
"value": "={{ $now }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
480,
260
],
"id": "03ce3bd2-768a-4e08-b985-dad287900fa9",
"name": "Edit Fields"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "e6fad62f-160d-4bed-bcdf-ba4bcef72e23",
"name": "fullPrompt",
"value": "={{ $json.text }}{{ $json.pageContent ? '\\n\\n\u05d4\u05e7\u05e9\u05e8 \u05de\u05d6\u05d9\u05db\u05e8\u05d5\u05df:\\n' + $json.pageContent + '\\n(\u05e0\u05e9\u05de\u05e8 \u05d1\u05ea\u05d0\u05e8\u05d9\u05da: ' + $json.metadata.timestamp + ')' : '' }}\n",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1260,
460
],
"id": "0537e668-1fd9-4b19-9d33-fc4d89fb89f9",
"name": "Edit Fields1"
}
],
"connections": {
"Email Agent": {
"ai_tool": [
[
{
"node": "Ultimate Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Contact Agent": {
"ai_tool": [
[
{
"node": "Ultimate Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Content Creator Agent": {
"ai_tool": [
[
{
"node": "Ultimate Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Tavily": {
"ai_tool": [
[
{
"node": "Ultimate Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Calendar Agent": {
"ai_tool": [
[
{
"node": "Ultimate Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Ultimate Assistant": {
"main": [
[
{
"node": "Response1",
"type": "main",
"index": 0
}
]
]
},
"Download File": {
"main": [
[
{
"node": "Transcribe",
"type": "main",
"index": 0
}
]
]
},
"Transcribe": {
"main": [
[
{
"node": "Ultimate Assistant",
"type": "main",
"index": 0
}
]
]
},
"Calculator1": {
"ai_tool": [
[
{
"node": "Ultimate Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Set 'Text'1": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Switch1": {
"main": [
[
{
"node": "Download File",
"type": "main",
"index": 0
}
],
[
{
"node": "Set 'Text'1",
"type": "main",
"index": 0
}
],
[
{
"node": "Download File1",
"type": "main",
"index": 0
}
]
]
},
"Wikipedia": {
"ai_tool": [
[
{
"node": "Ultimate Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Ultimate Assistant",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Qdrant Vector Store1": {
"ai_tool": [
[
{
"node": "Ultimate Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "Ultimate Assistant",
"type": "ai_memory",
"index": 0
}
]
]
},
"Qdrant Vector Store": {
"main": [
[
{
"node": "Edit Fields1",
"type": "main",
"index": 0
}
]
]
},
"Telegram Trigger": {
"main": [
[
{
"node": "Switch1",
"type": "main",
"index": 0
}
]
]
},
"Download File1": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"Code": {
"main": [
[
{
"node": "Qdrant Vector Store",
"type": "main",
"index": 0
}
],
[
{
"node": "Ultimate Assistant",
"type": "main",
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}
]
]
},
"If": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
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}
],
[
{
"node": "Ultimate Assistant",
"type": "main",
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}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Qdrant Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields1": {
"main": [
[
{
"node": "Ultimate Assistant",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "4fe8a9b0-c21f-4441-a479-7cadd57c57a6",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "gFI0IHQrprv83RUU",
"tags": [
{
"createdAt": "2025-04-22T21:45:09.291Z",
"updatedAt": "2025-04-22T21:45:09.291Z",
"id": "5oVNN9LitL7XAvBg",
"name": "Parents bot"
}
]
}
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.
openAiApiqdrantApitelegramApi
Pro
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How this works
This workflow empowers parents to manage family life effortlessly through a Telegram bot that acts as a smart assistant, answering queries on child-rearing, scheduling playdates, or generating educational content. It leverages OpenAI's agent capabilities to process natural language requests and integrates with Telegram for seamless mobile interactions, saving hours of manual organisation. The key step involves the agent routing user inputs to specialised sub-workflows, such as the Email Agent for quick correspondence or the Calendar Agent for booking appointments, ensuring personalised and efficient support.
Use this when you need an always-on helper for parenting tasks via chat, particularly if you're tech-savvy and rely on Telegram for communication. Avoid it for non-event-driven needs, like batch processing family data, or if you prefer voice interfaces over text. Common variations include adding more tool workflows for recipe suggestions or homework aids, or swapping Tavily for another search tool to customise research depth.
About this workflow
Parents smart bot. Uses telegramTrigger, agent, toolWorkflow, toolHttpRequest. Event-driven trigger; 27 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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