Agente de Investigación Dream 100
Este es unMiscellaneous, AI Chatbot, Multimodal AIflujo de automatización del dominio deautomatización que contiene 29 nodos.Utiliza principalmente nodos como If, Set, Slack, Switch, GoogleSheets. Usar Perplexity AI Research y Google Sheets para generar una lista de clientes potenciales Dream 100
- •Bot Token de Slack o URL de Webhook
- •Credenciales de API de Google Sheets
Nodos utilizados (29)
Categoría
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"meta": {
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"templateCredsSetupCompleted": true
},
"name": "Dream 100 Research Agent",
"tags": [],
"nodes": [
{
"id": "7735b048-fdf6-4719-a440-c45fc6437ace",
"name": "Agente de IA",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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"parameters": {
"text": "={{ $json['User Chat Message'] }} {{ $json['Retrigger Chat'] }}",
"options": {
"systemMessage": "You are a helpful research assistant designed to help a business owner identify their \"Dream 100\" - the 100 people who are their most relevant customers - the most likely to pay lots of money with the least hassle/service drain, and be ambassadors for the company once loyal.\n\nMake sure the user tells you what their business sells before you begin calling research tools.\n\nAlso ensure the user gives you all of the following information about their ideal customer:\n- Job Title and Seniority Level\n- Company Size\n- Industry / Vertical\n- Geography or Location\n- EXCLUSIONS for al of the above categories (Not India, Not 250+ person companies)\n\n- Who is their ideal customer's target audience? (Coach FOR marketing executives)\n- What are the “markers” of them being good? (Speak at conferences, have books, maintain a LinkedIn following, etc.)\n- What outcome do they want? (More clients, more leads, save time, lose weight?)\n\n- If the user has examples, try to collect 2-5 examples of people they want in their dream 100, along with why those people.\n\nOnce you have all that information, use your chat model and research tool to output the list of the dream 100 and deposit it in google sheets. Your goal is to find prospects who match the given profile and are similar to the example people the user gave you.\n\n- Number each prospect 1-100 (\"Prospect ID\"), and use that to match the row in google sheets\n- Output the prospect's name (\"Prospect Name\") and put it in that column\n- Output a 100-175 word summary on the prospect (\"Prospect Summary\") and put it in that column. Include where they work, who they serve, and a guess at how valuable they’d be and why (Serve X valuable customer, Handles Y super high volume, Influencer in Z space)\n- Output a 50-75 word explanation for why this person fits into the user's dream 100 (\"Reason\") and put it in that column. (Is similar to X, Important in Y sector)\n\nIf Perplexity only returns 5 or 10 results, add them all to google sheets, then re-call Perplexity. Repeat this until you've found 100 prospects.\n\nDO NOT return all the details of the prospects in your agent chat, just deposit them in the google sheet."
},
"promptType": "define"
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"typeVersion": 2.2
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{
"id": "939929d6-51bd-451c-b1be-473d0f704cfc",
"name": "Modelo de Chat OpenRouter",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
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],
"parameters": {
"options": {}
},
"credentials": {
"openRouterApi": {
"id": "TpkMvFj7EHlZXdBE",
"name": "OpenRouter account"
}
},
"typeVersion": 1
},
{
"id": "2128e6c2-07f1-4943-8894-749c8a655bb4",
"name": "Cuando se recibe mensaje de chat",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-320,
-160
],
"webhookId": "889dadd8-870d-49a7-b52d-6fe71563769a",
"parameters": {
"options": {
"responseMode": "responseNodes"
}
},
"typeVersion": 1.3,
"alwaysOutputData": false
},
{
"id": "61a6c6bb-dbc9-4903-918d-335e7c8e03c6",
"name": "Memoria Simple",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
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],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "23b43c9f-1041-4643-a69d-5869698afd3b",
"name": "Mensaje de Chat del Usuario",
"type": "n8n-nodes-base.set",
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"assignments": [
{
"id": "1df142cc-4f0b-4a49-86a6-9718f7402e6a",
"name": "User Chat Message",
"type": "string",
"value": "={{ $json.chatInput }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5b050dcb-36b2-4e59-90d5-99f3555c6e21",
"name": "Mensaje de chat de reactivación del agente",
"type": "n8n-nodes-base.set",
"position": [
-80,
-16
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "a43b6f64-b16f-4aff-885c-a007c24d6354",
"name": "Retrigger Chat",
"type": "string",
"value": "Give me the next 10 entries. Make sure their Prospect IDs are higher than the previous batch. So, if you just gave me prospects 11-20, this time give me 21-30. If you just did 21-30, give me 31-40, etc. Ensure none of the people you find me are duplicates of ones previously included in the list."
}
]
}
},
"typeVersion": 3.4
},
{
"id": "9b7c9cb6-6a51-4e64-8ca2-0cdcc3a23986",
"name": "Enviar mensaje correcto",
"type": "n8n-nodes-base.switch",
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],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Correct Message",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
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"combinator": "and",
"conditions": [
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"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
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"leftValue": "={{ $json['Retrigger Chat'] }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Correct Message",
"conditions": {
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"version": 2,
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"operator": {
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"operation": "notEmpty",
"singleValue": true
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"leftValue": "={{ $json['User Chat Message'] }}",
"rightValue": ""
}
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"renameOutput": true
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"options": {
"ignoreCase": true
}
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"typeVersion": 3.2
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{
"id": "1723928c-4170-428c-a1f8-887f0de1de1a",
"name": "Verificar Primera Fila",
"type": "n8n-nodes-base.googleSheets",
"position": [
1280,
-112
],
"parameters": {
"options": {},
"filtersUI": {
"values": [
{
"lookupValue": "1",
"lookupColumn": "Prospect ID"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/10zLEA_zRfbvHkSc23MKcZ3BVroa26h-ZoXlTAdveAcc/edit#gid=0",
"cachedResultName": "Sheet1"
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"__rl": true,
"mode": "list",
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"cachedResultName": "Dream 100"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "jSF7NonDRkbSjEFB",
"name": "Google Sheets account"
}
},
"typeVersion": 4.7
},
{
"id": "b2ffa88a-295d-4f3e-8baf-31cad5ded06a",
"name": "Verificar Última Fila",
"type": "n8n-nodes-base.googleSheets",
"position": [
1280,
80
],
"parameters": {
"options": {},
"filtersUI": {
"values": [
{
"lookupValue": "100",
"lookupColumn": "Prospect ID"
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"__rl": true,
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"__rl": true,
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"cachedResultUrl": "https://docs.google.com/spreadsheets/d/10zLEA_zRfbvHkSc23MKcZ3BVroa26h-ZoXlTAdveAcc/edit?usp=drivesdk",
"cachedResultName": "Dream 100"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "jSF7NonDRkbSjEFB",
"name": "Google Sheets account"
}
},
"typeVersion": 4.7
},
{
"id": "d16e47c3-eb87-4f0e-9c7a-3aecfbe31061",
"name": "Nombre de Primera Fila",
"type": "n8n-nodes-base.set",
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"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ecf75ecc-4897-45eb-a042-3ba5d1556838",
"name": "Prospect 1",
"type": "string",
"value": "={{ $json['Prospect Name'] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "64a7b6e3-8c99-4620-99ce-66314e8a8ebb",
"name": "¿Hay datos en la hoja?",
"type": "n8n-nodes-base.if",
"position": [
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],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
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"combinator": "and",
"conditions": [
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"id": "702f3427-cf4b-4f0a-a2ca-815921da02b2",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $('First Row Name').item.json['Prospect 1'] }}",
"rightValue": ""
},
{
"id": "2b662685-1155-4a24-a1b6-b54fda3dd4bd",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
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"leftValue": "={{ $('Last Row Name').item.json['Prospect 100'] }}",
"rightValue": ""
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}
},
"typeVersion": 2.2
},
{
"id": "7fa555fe-746f-4e07-a4ee-81a228372dbc",
"name": "¿Necesitamos MÁS datos en la hoja?",
"type": "n8n-nodes-base.if",
"position": [
1952,
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],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "702f3427-cf4b-4f0a-a2ca-815921da02b2",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $('First Row Name').item.json['Prospect 1'] }}",
"rightValue": ""
},
{
"id": "2b662685-1155-4a24-a1b6-b54fda3dd4bd",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $('Last Row Name').item.json['Prospect 100'] }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "60cb44fb-2f32-48b9-a6fd-fef0bdb89b02",
"name": "Recopilar Más Información",
"type": "@n8n/n8n-nodes-langchain.chat",
"position": [
2256,
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],
"parameters": {
"message": "={{ $('AI Agent').item.json.output }}",
"options": {
"memoryConnection": false
},
"waitUserReply": false
},
"typeVersion": 1
},
{
"id": "868a7b0a-0346-4f8c-bfd9-fd339652807d",
"name": "¡Todo Listo!",
"type": "@n8n/n8n-nodes-langchain.chat",
"position": [
2256,
128
],
"parameters": {
"message": "=",
"options": {
"memoryConnection": false
},
"waitUserReply": false
},
"typeVersion": 1
},
{
"id": "2023a54e-49ec-4bc6-b32b-2cfb653494c2",
"name": "Nombre de Última Fila",
"type": "n8n-nodes-base.set",
"position": [
1488,
80
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ecf75ecc-4897-45eb-a042-3ba5d1556838",
"name": "Prospect 100",
"type": "string",
"value": "={{ $json['Prospect Name'] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "1b57cc85-537e-4df6-b65b-9a51f692680c",
"name": "Nota Adhesiva",
"type": "n8n-nodes-base.stickyNote",
"position": [
-496,
-224
],
"parameters": {
"width": 864,
"height": 480,
"content": "## Pick a message to send to the agent"
},
"typeVersion": 1
},
{
"id": "37fa8afb-d08c-47fc-92d8-c0bc264a7dc4",
"name": "Nota Adhesiva1",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
-224
],
"parameters": {
"color": 4,
"width": 736,
"height": 704,
"content": "## The Brain - Takes your Prompt, Does Research"
},
"typeVersion": 1
},
{
"id": "dfc23859-460d-467f-9fff-d66d1319e5bf",
"name": "Nota Adhesiva2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1168,
-224
],
"parameters": {
"color": 5,
"width": 480,
"height": 464,
"content": "## Check how much data is in the sheet"
},
"typeVersion": 1
},
{
"id": "5239fb30-715d-4cdb-bcd9-b2e8954cf549",
"name": "Nota Adhesiva3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1696,
-224
],
"parameters": {
"color": 6,
"width": 752,
"height": 528,
"content": "## Do more research or respond to user?"
},
"typeVersion": 1
},
{
"id": "c470b239-c9d5-4a5c-9e4d-213f3d30fdb5",
"name": "Nota Adhesiva4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-880,
-176
],
"parameters": {
"color": 3,
"width": 288,
"height": 320,
"content": "## Connect to Trigger via Slack Message\n\nChange the variable in \"User Chat Message\" from the n8n chat -> slack message"
},
"typeVersion": 1
},
{
"id": "f7a06a9b-ad7b-4e64-a800-21e5e99b23ad",
"name": "Nota Adhesiva5",
"type": "n8n-nodes-base.stickyNote",
"position": [
2496,
-240
],
"parameters": {
"color": 3,
"width": 352,
"height": 544,
"content": "## Connect These to Respond via Slack Message\n\nConnect the AI agent's output as the content of both messages"
},
"typeVersion": 1
},
{
"id": "52f38441-eee3-48db-8994-57f848a03c54",
"name": "Cuando se recibe Slack",
"type": "n8n-nodes-base.slackTrigger",
"position": [
-832,
16
],
"webhookId": "d9afdc1f-1699-4c2d-997c-f722546ef973",
"parameters": {
"options": {},
"trigger": [
"message"
],
"channelId": {
"__rl": true,
"mode": "list",
"value": ""
}
},
"typeVersion": 1
},
{
"id": "caeaca6e-c815-4a4b-85a6-6a7d090c5a0f",
"name": "Recopilar Más Info Slack",
"type": "n8n-nodes-base.slack",
"position": [
2576,
-48
],
"webhookId": "9a6b5dda-8d71-49d2-9ff8-1b6f3f41ace5",
"parameters": {
"otherOptions": {}
},
"typeVersion": 2.3
},
{
"id": "5c4db052-a638-484a-bf80-602fb357d4cd",
"name": "Todo Listo Slack",
"type": "n8n-nodes-base.slack",
"position": [
2576,
128
],
"webhookId": "9a6b5dda-8d71-49d2-9ff8-1b6f3f41ace5",
"parameters": {
"otherOptions": {}
},
"typeVersion": 2.3
},
{
"id": "17e6c1af-57ed-41aa-8fc2-fd0331332a37",
"name": "Nota Adhesiva6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-16,
-416
],
"parameters": {
"width": 448,
"content": "## Google Sheet Template \n\n(Make a copy)\n\nhttps://docs.google.com/spreadsheets/d/1WWRwi3bseuZd1ebaAdGQYzDhwW_zBEOYib20l2Z_coY/edit?usp=sharing"
},
"typeVersion": 1
},
{
"id": "3f0d7097-5dea-491a-b25a-c76d491c1674",
"name": "Nota Adhesiva7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-496,
-608
],
"parameters": {
"width": 448,
"content": "## SETUP TUTORIAL LOOM VIDEO\n\nhttps://www.loom.com/share/2a71542149054456b993826f56e5503f?sid=41a106b3-a16d-4686-8280-b7e56af8ce42"
},
"typeVersion": 1
},
{
"id": "a0503770-12fb-4e35-89b8-17820a13d0b5",
"name": "Investigar vía Perplexity",
"type": "n8n-nodes-base.perplexityTool",
"position": [
976,
320
],
"parameters": {
"model": "sonar-deep-research",
"options": {},
"messages": {
"message": [
{
"content": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('message0_Text', ``, 'string') }}"
}
]
},
"requestOptions": {}
},
"credentials": {
"perplexityApi": {
"id": "daNGC6EDqNLWQPvm",
"name": "Perplexity account"
}
},
"typeVersion": 1
},
{
"id": "741e1777-1bcd-4a4b-964a-f6d0285f032a",
"name": "Insertar Datos en la Hoja",
"type": "n8n-nodes-base.googleSheetsTool",
"position": [
784,
320
],
"parameters": {
"columns": {
"value": {
"Reason": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Reason', ``, 'string') }}",
"Prospect ID": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prospect_ID__using_to_match_', ``, 'string') }}",
"Prospect Name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prospect_Name', ``, 'string') }}",
"Prospect Summary": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prospect_Summary', ``, 'string') }}"
},
"schema": [
{
"id": "Prospect ID",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Prospect ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Prospect Name",
"type": "string",
"display": true,
"required": false,
"displayName": "Prospect Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Prospect Summary",
"type": "string",
"display": true,
"required": false,
"displayName": "Prospect Summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Reason",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Reason",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Prospect ID"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/10zLEA_zRfbvHkSc23MKcZ3BVroa26h-ZoXlTAdveAcc/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "10zLEA_zRfbvHkSc23MKcZ3BVroa26h-ZoXlTAdveAcc",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/10zLEA_zRfbvHkSc23MKcZ3BVroa26h-ZoXlTAdveAcc/edit?usp=drivesdk",
"cachedResultName": "Dream 100"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "jSF7NonDRkbSjEFB",
"name": "Google Sheets account"
}
},
"typeVersion": 4.7
},
{
"id": "9a1be387-bcfa-452d-b371-7ba63acbc9a0",
"name": "Nota Adhesiva8",
"type": "n8n-nodes-base.stickyNote",
"position": [
-496,
-416
],
"parameters": {
"width": 448,
"content": "## Directions:\n1. Make sure the Google sheet has NO NAMES in it right now\n2. Start a chat with the agent\n3. Provide any information the agent wants\n4. Let the agent research! (~3-4 mins per 10 names, depending on Perplexity Tier)"
},
"typeVersion": 1
}
],
"active": true,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "63d33378-9662-4398-a3a5-b015c6a8a75b",
"connections": {
"7735b048-fdf6-4719-a440-c45fc6437ace": {
"main": [
[
{
"node": "1723928c-4170-428c-a1f8-887f0de1de1a",
"type": "main",
"index": 0
}
]
]
},
"2023a54e-49ec-4bc6-b32b-2cfb653494c2": {
"main": [
[
{
"node": "64a7b6e3-8c99-4620-99ce-66314e8a8ebb",
"type": "main",
"index": 0
}
]
]
},
"61a6c6bb-dbc9-4903-918d-335e7c8e03c6": {
"ai_memory": [
[
{
"node": "7735b048-fdf6-4719-a440-c45fc6437ace",
"type": "ai_memory",
"index": 0
}
]
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}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Avanzado - Varios, Chatbot de IA, IA Multimodal
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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Brandon True
@brandoniusCompartir este flujo de trabajo