Dream 100 Forschungs-Agent
Dies ist ein Miscellaneous, AI Chatbot, Multimodal AI-Bereich Automatisierungsworkflow mit 29 Nodes. Hauptsächlich werden If, Set, Slack, Switch, GoogleSheets und andere Nodes verwendet. Verwenden Sie Perplexity AI-Forschung und Google Sheets, um eine Dream 100-Kundenliste zu generieren
- •Slack Bot Token oder Webhook URL
- •Google Sheets API-Anmeldedaten
Verwendete Nodes (29)
{
"id": "wUgvcUo65uVym17q",
"meta": {
"instanceId": "01e7f9e9744d9f2220f51805b269e99ec4f789e9a6dc281c4e8a43bdb310a48e",
"templateCredsSetupCompleted": true
},
"name": "Dream 100 Research Agent",
"tags": [],
"nodes": [
{
"id": "7735b048-fdf6-4719-a440-c45fc6437ace",
"name": "KI-Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
624,
-112
],
"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"
},
"typeVersion": 2.2
},
{
"id": "939929d6-51bd-451c-b1be-473d0f704cfc",
"name": "OpenRouter Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
448,
320
],
"parameters": {
"options": {}
},
"credentials": {
"openRouterApi": {
"id": "TpkMvFj7EHlZXdBE",
"name": "OpenRouter account"
}
},
"typeVersion": 1
},
{
"id": "2128e6c2-07f1-4943-8894-749c8a655bb4",
"name": "Bei Chat-Nachricht empfangen",
"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": "Einfacher Speicher",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
608,
320
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "23b43c9f-1041-4643-a69d-5869698afd3b",
"name": "Benutzer-Chat-Nachricht",
"type": "n8n-nodes-base.set",
"position": [
-80,
-160
],
"parameters": {
"options": {},
"assignments": {
"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": "Agent-Nachricht erneut auslösen",
"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": "Korrekte Nachricht senden",
"type": "n8n-nodes-base.switch",
"position": [
144,
-96
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Correct Message",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "5c0ef267-db3a-4ee1-8be4-e97f75cbb972",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json['Retrigger Chat'] }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Correct Message",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "5a2be6c2-ed82-4c43-98a7-fa3e853ca974",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json['User Chat Message'] }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {
"ignoreCase": true
}
},
"typeVersion": 3.2
},
{
"id": "1723928c-4170-428c-a1f8-887f0de1de1a",
"name": "Erste Zeile prüfen",
"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"
},
"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": "b2ffa88a-295d-4f3e-8baf-31cad5ded06a",
"name": "Letzte Zeile prüfen",
"type": "n8n-nodes-base.googleSheets",
"position": [
1280,
80
],
"parameters": {
"options": {},
"filtersUI": {
"values": [
{
"lookupValue": "100",
"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"
},
"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": "d16e47c3-eb87-4f0e-9c7a-3aecfbe31061",
"name": "Name erste Zeile",
"type": "n8n-nodes-base.set",
"position": [
1472,
-112
],
"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": "Enthält das Sheet Daten?",
"type": "n8n-nodes-base.if",
"position": [
1744,
-32
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"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
},
"leftValue": "={{ $('Last Row Name').item.json['Prospect 100'] }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "7fa555fe-746f-4e07-a4ee-81a228372dbc",
"name": "Benötigen wir MEHR Daten im Sheet?",
"type": "n8n-nodes-base.if",
"position": [
1952,
112
],
"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": "Weitere Informationen sammeln",
"type": "@n8n/n8n-nodes-langchain.chat",
"position": [
2256,
-144
],
"parameters": {
"message": "={{ $('AI Agent').item.json.output }}",
"options": {
"memoryConnection": false
},
"waitUserReply": false
},
"typeVersion": 1
},
{
"id": "868a7b0a-0346-4f8c-bfd9-fd339652807d",
"name": "Alles erledigt!",
"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": "Name letzte Zeile",
"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": "Haftnotiz",
"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": "Haftnotiz1",
"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": "Haftnotiz2",
"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": "Haftnotiz3",
"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": "Haftnotiz4",
"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": "Haftnotiz5",
"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": "Bei Slack empfangen",
"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": "Weitere Informationen sammeln 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": "Alles erledigt 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": "Haftnotiz6",
"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": "Haftnotiz7",
"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": "Recherche via 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": "Daten in Sheet einfügen",
"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": "Haftnotiz8",
"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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}Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Verschiedenes, KI-Chatbot, Multimodales KI
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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Brandon True
@brandoniusDiesen Workflow teilen