드림 100 연구 에이전트
고급
이것은Miscellaneous, AI Chatbot, Multimodal AI분야의자동화 워크플로우로, 29개의 노드를 포함합니다.주로 If, Set, Slack, Switch, GoogleSheets 등의 노드를 사용하며. 사용하여 Perplexity AI 연구와 Google Sheets를 통해 Dream 100 잠재 고객 목록 생성
사전 요구사항
- •Slack Bot Token 또는 Webhook URL
- •Google Sheets API 인증 정보
사용된 노드 (29)
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
"id": "wUgvcUo65uVym17q",
"meta": {
"instanceId": "01e7f9e9744d9f2220f51805b269e99ec4f789e9a6dc281c4e8a43bdb310a48e",
"templateCredsSetupCompleted": true
},
"name": "Dream 100 Research Agent",
"tags": [],
"nodes": [
{
"id": "7735b048-fdf6-4719-a440-c45fc6437ace",
"name": "AI 에이전트",
"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 채팅 모델",
"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": "채팅 메시지 수신 시",
"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": "심플 메모리",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
608,
320
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "23b43c9f-1041-4643-a69d-5869698afd3b",
"name": "사용자 채팅 메시지",
"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": "에이전트 재트리거 채팅 메시지",
"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": "올바른 메시지 전송",
"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": "첫 번째 행 확인",
"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": "마지막 행 확인",
"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": "첫 번째 행 이름",
"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": "시트에 데이터가 있습니까?",
"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": "시트에 더 많은 데이터가 필요합니까?",
"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": "추가 정보 수집",
"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": "모두 완료!",
"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": "마지막 행 이름",
"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": "스티커 노트",
"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": "스티커 노트1",
"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": "스티커 노트2",
"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": "스티커 노트3",
"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": "스티커 노트4",
"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": "스티커 노트5",
"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": "Slack 수신 시",
"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": "추가 정보 수집 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": "완료 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": "스티커 노트6",
"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": "스티커 노트7",
"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": "Perplexity를 통한 연구",
"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": "시트에 데이터 삽입",
"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": "스티커 노트8",
"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": {
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},
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[
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]
]
}
}
}자주 묻는 질문
이 워크플로우를 어떻게 사용하나요?
위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?
고급 - 기타, AI 챗봇, 멀티모달 AI
유료인가요?
이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.
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