规划研究
高级
这是一个Document Extraction, Multimodal AI领域的自动化工作流，包含 33 个节点。主要使用 Code, Gmail, GoogleDocs, FormTrigger, HttpRequest 等节点。 使用Gemini AI、Google文档和人工反馈自动化UX研究规划
前置要求
- •Google 账号和 Gmail API 凭证
- •可能需要目标 API 的认证凭证
- •Google Gemini API Key
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "UEMiYKbevdzCdGfN",
"meta": {
"instanceId": "da4d3e0377931917a7d278ed58cc0bd71d819153520f9e58768cc8f079c2ec17",
"templateCredsSetupCompleted": true
},
"name": "规划研究",
"tags": [],
"nodes": [
{
"id": "a92f96d8-42fd-498e-bc7d-60d9bfb0e191",
"name": "表单提交时",
"type": "n8n-nodes-base.formTrigger",
"position": [
496,
704
],
"webhookId": "9c1c5243-1da1-40d6-afe7-7f47c101bee8",
"parameters": {
"options": {},
"formTitle": "Provide Context for Writing a Research Plan",
"formFields": {
"values": [
{
"fieldType": "textarea",
"fieldLabel": "What type of organization do you work for?",
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "What kind of product, service, or experience does your company provide?",
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "What do you want to learn about your users or the problem you are addressing?",
"requiredField": true
},
{
"fieldType": "email",
"fieldLabel": "Which email address would you prefer to receive the email at?",
"requiredField": true
}
]
}
},
"typeVersion": 2.3
},
{
"id": "c73b6880-dc9c-4678-a2cf-b092a2b52eef",
"name": "Gemini",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
672,
848
],
"parameters": {
"options": {}
},
"credentials": {
"googlePalmApi": {
"id": "yV24yp5FKJPWnLlP",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "68573d63-98b1-42f0-83d3-9bce7d364a11",
"name": "AI 智能体：问题制定者",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
672,
704
],
"parameters": {
"text": "=You are a UX researcher assistant. Your role is to generate **10 research questions** based on the following information:\n\n* What type of organization do you work for?: `{{ $json['What type of organization do you work for?'] }}`\n* What kind of product, service, or experience does your company provide?: `{{ $json['What kind of product, service, or experience does your company provide?'] }}`\n* What do you want to learn about your users or the problem you are addressing?: `{{ $json['What do you want to learn about your users or the problem you are addressing?'] }}`\n\nReturn the questions in **JSON format** exactly as follows:\n\n```json\n{\n \"Question 01\": \"<created question>\",\n \"Question 02\": \"<created question>\",\n \"Question 03\": \"<created question>\",\n \"Question 04\": \"<created question>\",\n \"Question 05\": \"<created question>\",\n \"Question 06\": \"<created question>\",\n \"Question 07\": \"<created question>\",\n \"Question 08\": \"<created question>\",\n \"Question 09\": \"<created question>\",\n \"Question 10\": \"<created question>\"\n}\n",
"options": {},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "70af22d2-8bda-479c-a1d0-2b3f166a31b8",
"name": "AI 智能体：问题编辑者",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
848,
1104
],
"parameters": {
"text": "=You are a UX research assistant helping refine Planning Research Questions.\n\nHere is general information about the organization and research goal:\n\n* Type of organization: {{ $('On form submission').item.json['What type of organization do you work for?'] }}\n* Product/service/experience provided: {{ $('On form submission').item.json['What kind of product, service, or experience does your company provide?'] }}\n* Research objective: {{ $('On form submission').item.json['What do you want to learn about your users or the problem you are addressing?'] }}\n\nThe previous AI Agent generated several user research questions:\n{{ $('AI Agent: Question Maker').item.json.output }}\n\nThe designer reviewed these questions and gave feedback. \nSome were **approved**, some were **rejected**, and some were marked as **\"Should be edited\"**.\nAlso the user give their feedback on how you can improve it.\n\nYour task:\n- For questions marked as **\"Should be edited\"**, rephrase or refine them based on the user's feedback. If there is no feedback from the user edit it to improve clarity, relevance, or tone. \n- **Avoid reusing the format or style** of any questions that were rejected.\n- If a question was approved, keep it unchanged.\n\nHere are the questions and their respective review outcomes:\n\n\n{{ $json['Question 1'] }}\nStatus: {{ $json['status 1'] }}\nIf Question 01 needs editing, how should it be edited?: {{ $json['status 1'] }}\n---\n{{ $json['Question 2'] }}\nStatus: {{ $json['status 2'] }}\nIf Question 02 needs editing, how should it be edited?: {{ $json['status 2'] }}\n---\n{{ $json['Question 3'] }}\nStatus: {{ $json['status 3'] }}\nIf Question 03 needs editing, how should it be edited?: {{ $json['status 3'] }}\n---\n{{ $json['Question 4'] }}\nStatus: {{ $json['status 4'] }}\nIf Question 04 needs editing, how should it be edited?: {{ $json['status 4'] }}\n---\n{{ $json['Question 5'] }}\nStatus: {{ $json['status 5'] }}\nIf Question 05 needs editing, how should it be edited?: {{ $json['status 5'] }}\n---\n{{ $json['Question 6'] }}\nStatus: {{ $json['status 6'] }}\nIf Question 06 needs editing, how should it be edited?: {{ $json['status 6'] }}\n---\n{{ $json['Question 7'] }}\nStatus: {{ $json['status 7'] }}\nIf Question 07 needs editing, how should it be edited?: {{ $json['status 7'] }}\n---\n{{ $json['Question 8'] }}\nStatus: {{ $json['status 8'] }}\nIf Question 08 needs editing, how should it be edited?: {{ $json['status 8'] }}\n---\n{{ $json['Question 9'] }}\nStatus: {{ $json['status 9'] }}\nIf Question 09 needs editing, how should it be edited?: {{ $json['status 9'] }}\n---\n{{ $json['Question 10'] }}\nStatus: {{ $json['status 10'] }}\nIf Question 10 needs editing, how should it be edited?: {{ $json['status 10'] }}\n\nReturn your final output **only** in a list of questions (no markdown or extra text). Reset the numbering so it starts again from Question 01 in order. \n",
"options": {},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "f0cdc45b-6a52-44c0-a9cd-cbeef08f8d58",
"name": "Gemini Google",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
848,
1248
],
"parameters": {
"options": {}
},
"credentials": {
"googlePalmApi": {
"id": "yV24yp5FKJPWnLlP",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "88aececb-21da-4a47-a23c-1cc7eb1172d4",
"name": "分离问题",
"type": "n8n-nodes-base.code",
"position": [
976,
704
],
"parameters": {
"jsCode": "// n8n Function Node code\n// Assumes input comes in the first item as `input[0].json.output`\n\n// Get the raw string containing JSON\nconst rawString = $json[\"output\"];\n\n// Remove the ```json wrapper if present\nconst jsonString = rawString.replace(/```json|```/g, '').trim();\n\n// Parse it into a JavaScript object\nconst data = JSON.parse(jsonString);\n\n// Return only the questions in the same structure\nreturn [\n {\n json: data\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "1bc75236-67a4-4d5f-934f-c868287be67d",
"name": "问题审批",
"type": "n8n-nodes-base.gmail",
"position": [
496,
1104
],
"webhookId": "5952cd6a-8670-41bd-9b64-a89aba96683e",
"parameters": {
"sendTo": "={{ $('On form submission').item.json['Which email address would you prefer to receive the email at?'] }}",
"message": "=Dear Designer,\n\nI hope this email finds you well.\n\nI am writing to share the proposed research questions for your project and kindly request your feedback. Please review each question and indicate whether you approve or disapprove of them.\n\nYour guidance is greatly appreciated, and your approval will help me move forward with the research design.\n\nThank you very much for your time and support.\n\nBest regards,\nYour UX Assistance",
"options": {},
"subject": "Request for Approval of Research Questions",
"operation": "sendAndWait",
"formFields": {
"values": [
{
"fieldType": "radio",
"fieldLabel": "=Question 01: {{ $json[\"Question 01\"] }}",
"fieldOptions": {
"values": [
{
"option": "Approved"
},
{
"option": "Disapproved"
},
{
"option": "Should be edited"
}
]
},
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "If Question 01 needs editing, how should it be edited?"
},
{
"fieldType": "radio",
"fieldLabel": "={{ $json[\"Question 02\"] }}",
"fieldOptions": {
"values": [
{
"option": "Approved"
},
{
"option": "Disapproved"
},
{
"option": "Should be edited"
}
]
},
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "If Question 02 needs editing, how should it be edited?"
},
{
"fieldType": "radio",
"fieldLabel": "={{ $json[\"Question 03\"] }}",
"fieldOptions": {
"values": [
{
"option": "Approved"
},
{
"option": "Disapproved"
},
{
"option": "Should be edited"
}
]
},
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "If Question 03 needs editing, how should it be edited?"
},
{
"fieldType": "radio",
"fieldLabel": "={{ $json[\"Question 04\"] }}",
"fieldOptions": {
"values": [
{
"option": "Approved"
},
{
"option": "Disapproved"
},
{
"option": "Should be edited"
}
]
},
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "If Question 04 needs editing, how should it be edited?"
},
{
"fieldType": "radio",
"fieldLabel": "={{ $json[\"Question 05\"] }}",
"fieldOptions": {
"values": [
{
"option": "Approved"
},
{
"option": "Disapproved"
},
{
"option": "Should be edited"
}
]
},
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "If Question 05 needs editing, how should it be edited?"
},
{
"fieldType": "radio",
"fieldLabel": "={{ $json[\"Question 06\"] }}",
"fieldOptions": {
"values": [
{
"option": "Approved"
},
{
"option": "Disapproved"
},
{
"option": "Should be edited"
}
]
},
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "If Question 06 needs editing, how should it be edited?"
},
{
"fieldType": "radio",
"fieldLabel": "={{ $json[\"Question 07\"] }}",
"fieldOptions": {
"values": [
{
"option": "Approved"
},
{
"option": "Disapproved"
},
{
"option": "Should be edited"
}
]
},
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "If Question 07 needs editing, how should it be edited?"
},
{
"fieldType": "radio",
"fieldLabel": "={{ $json[\"Question 08\"] }}",
"fieldOptions": {
"values": [
{
"option": "Approved"
},
{
"option": "Disapproved"
},
{
"option": "Should be edited"
}
]
},
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "If Question 08 needs editing, how should it be edited?"
},
{
"fieldType": "radio",
"fieldLabel": "={{ $json[\"Question 09\"] }}",
"fieldOptions": {
"values": [
{
"option": "Approved"
},
{
"option": "Disapproved"
},
{
"option": "Should be edited"
}
]
},
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "If Question 09 needs editing, how should it be edited?"
},
{
"fieldType": "radio",
"fieldLabel": "={{ $json[\"Question 10\"] }}",
"fieldOptions": {
"values": [
{
"option": "Approved"
},
{
"option": "Disapproved"
},
{
"option": "Should be edited"
}
]
},
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "If Question 10 needs editing, how should it be edited?"
}
]
},
"responseType": "customForm"
},
"credentials": {
"gmailOAuth2": {
"id": "FyKU6TD2Hbf3tjG3",
"name": "Gmail account"
}
},
"typeVersion": 2.1
},
{
"id": "feac9d2d-23be-42d8-ad97-90757c98748f",
"name": "编辑审批",
"type": "n8n-nodes-base.gmail",
"position": [
496,
1504
],
"webhookId": "5952cd6a-8670-41bd-9b64-a89aba96683e",
"parameters": {
"sendTo": "={{ $('On form submission').item.json['Which email address would you prefer to receive the email at?'] }}",
"message": "=Dear Designer,\n\nI hope this email finds you well.\n\nI am writing to share the proposed research questions for your project and kindly request your feedback. Please review each question and indicate whether you approve or disapprove of them:\n{{ $('AI Agent: Question Editor').item.json.output }}\n\nYour guidance is greatly appreciated, and your approval will help me move forward with the research design.\n\nThank you very much for your time and support.\n\nBest regards,\nYour UX Assistance",
"options": {},
"subject": "Request for Approval of Research Questions",
"operation": "sendAndWait",
"formFields": {
"values": [
{
"fieldLabel": "Which question have you not approved? Please write the number only."
},
{
"fieldType": "textarea",
"fieldLabel": "Why are they rejected?"
}
]
},
"responseType": "customForm"
},
"credentials": {
"gmailOAuth2": {
"id": "FyKU6TD2Hbf3tjG3",
"name": "Gmail account"
}
},
"typeVersion": 2.1
},
{
"id": "5c37ff3e-1433-4bd4-a6d8-588e406e56ce",
"name": "Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
624,
1632
],
"parameters": {
"options": {}
},
"credentials": {
"googlePalmApi": {
"id": "yV24yp5FKJPWnLlP",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "e859a1db-874f-475f-8d06-957a544938fd",
"name": "AI 智能体：第二编辑者",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
624,
1504
],
"parameters": {
"text": "=You are a UX research assistant helping refine Planning Research Questions.\n\nHere is general information about the organization and research goal:\n\n* Type of organization: {{ $('On form submission').item.json['What type of organization do you work for?'] }}\n* Product/service/experience provided: {{ $('On form submission').item.json['What kind of product, service, or experience does your company provide?'] }}\n* Research objective: {{ $('On form submission').item.json['What do you want to learn about your users or the problem you are addressing?'] }}\n\nThe previous AI Agent generated several user research questions:\n{{ $('AI Agent: Question Editor').item.json.output }}\n\nThe designer reviewed these questions and gave feedback. \nSome were **approved**, some were **rejected**, and the reason why it is rejected.\n\nWhich question have been rejected: \n{{ $json.data['Which question have you not approved? Please write the number only.'] }}\n\nYour task:\n- Rewrite the questions that the user not approved. Use the users' feedback if it is available:\n{{ $json.data['Why are they rejected?'] }}\n\nReturn your final output **only** in a list of questions (no markdown or extra text). Reset the numbering so it starts again from Question 01 in order. \n",
"options": {},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "77e4a8bc-c953-461e-86e8-79d869a6ce72",
"name": "Google Gemini 聊天",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
912,
1648
],
"parameters": {
"options": {}
},
"credentials": {
"googlePalmApi": {
"id": "yV24yp5FKJPWnLlP",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "d07287cb-de97-453a-861b-a76d6c414883",
"name": "AI 智能体：请求方法",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
912,
1504
],
"parameters": {
"text": "=You are a **UX research assistant** helping identify suitable **research methods** for user research questions.\n\n**Context**\n\n* **Type of organization:** {{ $('On form submission').item.json['What type of organization do you work for?'] }}\n* **Product/service/experience provided:** {{ $('On form submission').item.json['What kind of product, service, or experience does your company provide?'] }}\n* **Research objective:** {{ $('On form submission').item.json['What do you want to learn about your users or the problem you are addressing?'] }}\n\n**Input**\n\nThe previous AI Agent generated the following user research questions:\n{{ $json.output }}\n\n**Your task**\n\nFor each research question:\n\n* Recommend the **most suitable UX research method(s)** (e.g., interviews, usability testing, diary study, survey, A/B testing, etc.).\n* Explain **why** that method is appropriate for the question and research goal.\n* Ensure your reasoning is clear, concise, and practical.\n\n**Output format**\n\nReturn your final answer **only** as a list, with each item containing:\n\n1. The **question**\n2. The **recommended method(s)**\n3. A brief **rationale** for why the method was chosen\n\nDo **not** include markdown formatting, bullet points, or extra text — only the numbered list in plain text.\n",
"options": {},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "9f14a352-e490-43d9-8b90-e0df4379bfcc",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
592
],
"parameters": {
"height": 384,
"content": "## 获取组织信息"
},
"typeVersion": 1
},
{
"id": "a981eb5a-12a7-4783-8ff6-ae76d5e18be5",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
656,
592
],
"parameters": {
"width": 496,
"height": 384,
"content": "## 使用 AI 编写研究计划"
},
"typeVersion": 1
},
{
"id": "cb8bdd33-627c-4a57-a879-9ee50dc5f9e6",
"name": "便签 2",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
992
],
"parameters": {
"color": 2,
"height": 384,
"content": "## 用户检查问题"
},
"typeVersion": 1
},
{
"id": "2985ebff-dc3d-42e7-9046-21835e8af4b3",
"name": "便签 3",
"type": "n8n-nodes-base.stickyNote",
"position": [
656,
992
],
"parameters": {
"color": 2,
"width": 496,
"height": 384,
"content": "## 根据用户反馈编辑问题并由用户重新检查"
},
"typeVersion": 1
},
{
"id": "e0188e7d-ec2f-4ee2-a940-9636ab92a729",
"name": "便签 4",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
1392
],
"parameters": {
"color": 3,
"width": 480,
"height": 384,
"content": "## 重新生成问题"
},
"typeVersion": 1
},
{
"id": "85e322c2-7987-49cf-965e-59efdb1b733a",
"name": "便签 5",
"type": "n8n-nodes-base.stickyNote",
"position": [
896,
1392
],
"parameters": {
"color": 3,
"width": 256,
"height": 384,
"content": "## 为每个问题提出设计方法"
},
"typeVersion": 1
},
{
"id": "9adff9a5-cbfd-4ecc-8a75-b0e75666c2c8",
"name": "合并问题",
"type": "n8n-nodes-base.code",
"position": [
704,
1104
],
"parameters": {
"jsCode": "const inputData = items[0].json.data;\nlet combined = {};\nlet questionCount = 1;\n\nfor (let key in inputData) {\n // Skip edit keys\n if (key.startsWith(\"If Question\")) continue;\n\n // Main question\n const editKey = `If Question ${questionCount} needs editing, how should it be edited?`;\n\n combined[`Question ${questionCount}`] = key; // question text\n combined[`status ${questionCount}`] = inputData[key]; // status\n combined[`edit ${questionCount}`] = inputData[editKey] || \"\"; // edit suggestion\n\n questionCount++;\n}\n\nreturn [{ json: combined }];\n"
},
"typeVersion": 2
},
{
"id": "5db3754b-8720-4fce-9aa3-93ed878b540d",
"name": "AI 代理",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1472,
1504
],
"parameters": {
"text": "=You are given a research plan generated by AI, which includes UX research methods and related details.\n\nYour task is to transform this raw content into a **visually appealing, well-structured HTML report** suitable for conversion into a Google Doc.\n\nRequirements:\n- Organize the report into clear, logical sections (e.g., <h1>Title</h1>, <h2>Introduction</h2>, <h2>Objectives</h2>, <h2>Research Questions</h2>, <h2>Methods</h2>, <h2>Expected Outcomes</h2>, <h2>Timeline</h2>, <h2>References</h2>).\n- Use clean, semantic HTML (<h1>, <h2>, <p>, <ul>, <ol>, <strong>, <em>).\n- Make the layout **visually appealing**: \n - Add light visual hierarchy (consistent heading sizes and spacing).\n - Use short paragraphs, bullet points, and bold for emphasis where helpful.\n - Keep style elegant and minimal — suitable for academic or professional presentation.\n- Ensure it looks **polished, readable, and ready to paste into Google Docs**.\n- Do not include scripts or external CSS; use inline styling only if needed for visual clarity (e.g., font-weight, spacing, or color).\n\nInput content:\n{{ $('AI Agent: Request Methods').item.json.output }}\n",
"options": {},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "d4eacca7-a927-4b49-b7c1-5dd6eadb5b38",
"name": "Gemini 聊天助手",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1472,
1648
],
"parameters": {
"options": {}
},
"credentials": {
"googlePalmApi": {
"id": "yV24yp5FKJPWnLlP",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "3ebf7abd-96a7-49ef-96b8-2859a7d4a2fd",
"name": "便签6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1200,
1424
],
"parameters": {
"color": 4,
"width": 528,
"height": 352,
"content": "## 准备报告"
},
"typeVersion": 1
},
{
"id": "41a3d493-2ffa-4674-86da-603ec94b455b",
"name": "报告审批",
"type": "n8n-nodes-base.gmail",
"position": [
2000,
1504
],
"webhookId": "5952cd6a-8670-41bd-9b64-a89aba96683e",
"parameters": {
"sendTo": "={{ $('On form submission').item.json['Which email address would you prefer to receive the email at?'] }}",
"message": "=Dear Designer,\n\nI hope this email finds you well.\n\nHere you can find the planning research question and the proposed method: \n{{ 'https://docs.google.com/document/d/' + $('Create a Report').item.json.id + '/view' }}\n\nPlease take a look and share your feedback.\n\nThank you very much for your time and support.\n\nBest regards,\nYour UX Assistant",
"options": {},
"subject": "Feedback on Research Question and Proposed Method",
"operation": "sendAndWait",
"formFields": {
"values": [
{
"fieldType": "textarea",
"fieldLabel": "In what ways should the report be changed?"
}
]
},
"responseType": "customForm"
},
"credentials": {
"gmailOAuth2": {
"id": "FyKU6TD2Hbf3tjG3",
"name": "Gmail account"
}
},
"typeVersion": 2.1
},
{
"id": "acd40e18-6b97-4def-ac96-5f62ac5717fe",
"name": "便签7",
"type": "n8n-nodes-base.stickyNote",
"position": [
1744,
1424
],
"parameters": {
"color": 4,
"width": 432,
"height": 352,
"content": "## 获取并发送报告"
},
"typeVersion": 1
},
{
"id": "c6cb50d3-32ed-411f-b12b-1bcdbd9b0322",
"name": "Google Gemini 聊天",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1280,
1280
],
"parameters": {
"options": {}
},
"credentials": {
"googlePalmApi": {
"id": "yV24yp5FKJPWnLlP",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "54ca1d28-b042-4630-be9f-689c6d479295",
"name": "便签8",
"type": "n8n-nodes-base.stickyNote",
"position": [
1200,
1072
],
"parameters": {
"color": 5,
"width": 528,
"height": 336,
"content": "## 编辑报告"
},
"typeVersion": 1
},
{
"id": "1a478b88-3d92-48c8-95d9-e67e10501e31",
"name": "AI 智能体：报告编辑者",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1280,
1136
],
"parameters": {
"text": "=You are given a research plan generated by an AI, which includes UX research methods and related details.\n\nRead the report below:\n{{ $('AI Agent').item.json.output }}\n\nThen read the user’s feedback:\n{{ $json.data[\"In what ways should the report be changed?\"] }}\n\nRevise the research plan according to the user’s feedback. Keep the structure and clarity of the report while making the requested changes.",
"options": {},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "4cb275cd-c95d-43f9-8d9d-61c0c2e36b96",
"name": "HTTP 请求：报告",
"type": "n8n-nodes-base.httpRequest",
"position": [
1824,
1504
],
"parameters": {
"url": "https://script.google.com/macros/s/AKfycbycCRkQRMw2hQPRKvBq-8fPSTlrWsHt3rNd5qjuCytZavI66m1ovif4HEoW9TtuUaar/exec",
"method": "POST",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "docId",
"value": "={{ $('Create a Report').item.json.id }}"
},
{
"name": "mode",
"value": "append"
},
{
"name": "HTML",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "f220a797-73af-4dbb-a696-66c218e9e65b",
"name": "HTTP 请求：编辑后的报告",
"type": "n8n-nodes-base.httpRequest",
"position": [
1824,
1136
],
"parameters": {
"url": "https://script.google.com/macros/s/AKfycbycCRkQRMw2hQPRKvBq-8fPSTlrWsHt3rNd5qjuCytZavI66m1ovif4HEoW9TtuUaar/exec",
"method": "POST",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "docId",
"value": "={{ $json.id }}"
},
{
"name": "mode",
"value": "append"
},
{
"name": "HTML",
"value": "={{ $('AI Agent: Report Editor').item.json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "f71091c1-74b5-4b6f-8840-2978a0cf0163",
"name": "创建报告",
"type": "n8n-nodes-base.googleDocs",
"position": [
1280,
1504
],
"parameters": {
"title": "=Research Plan {{ new Date().toLocaleString('en-GB', { hour12: false }).replace(/[/,: ]/g, '.').replace(',', '').slice(0, 16).replace(' ', '.') }}",
"folderId": "default"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "DUa7OagoEpcdsDb5",
"name": "Google Docs account"
}
},
"typeVersion": 2
},
{
"id": "1a235927-f553-4e5f-b027-1d10abb14fd4",
"name": "创建最终报告",
"type": "n8n-nodes-base.googleDocs",
"position": [
1584,
1136
],
"parameters": {
"title": "=Final Research Plan {{ new Date().toLocaleString('en-GB', { hour12: false }).replace(/[/,: ]/g, '.').replace(',', '').slice(0, 16).replace(' ', '.') }}",
"folderId": "default"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "DUa7OagoEpcdsDb5",
"name": "Google Docs account"
}
},
"typeVersion": 2
},
{
"id": "83b8608e-1431-461d-b515-a296de5b02f6",
"name": "### 替换 Airtable 连接",
"type": "n8n-nodes-base.stickyNote",
"position": [
1744,
1072
],
"parameters": {
"color": 5,
"width": 432,
"height": 336,
"content": "## 创建最终报告"
},
"typeVersion": 1
},
{
"id": "e43ceaa3-8b69-4d04-b822-5280cda43c43",
"name": "便签10",
"type": "n8n-nodes-base.stickyNote",
"position": [
112,
592
],
"parameters": {
"color": 6,
"height": 1184,
"content": "## 规划研究工作流"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "42a5e2bf-c3cc-4926-87a2-2d8351885fe3",
"connections": {
"Gemini": {
"ai_languageModel": [
[
{
"node": "AI Agent: Question Maker",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "HTTP Request: Report",
"type": "main",
"index": 0
}
]
]
},
"Edit Approval": {
"main": [
[
{
"node": "AI Agent: Second Editor",
"type": "main",
"index": 0
}
]
]
},
"Gemini Google": {
"ai_languageModel": [
[
{
"node": "AI Agent: Question Editor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Create a Report": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Report Approval": {
"main": [
[
{
"node": "AI Agent: Report Editor",
"type": "main",
"index": 0
}
]
]
},
"Gemini ChatAssis": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Combine Questions": {
"main": [
[
{
"node": "AI Agent: Question Editor",
"type": "main",
"index": 0
}
]
]
},
"Google GeminiChat": {
"ai_languageModel": [
[
{
"node": "AI Agent: Report Editor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Question Approval": {
"main": [
[
{
"node": "Combine Questions",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat": {
"ai_languageModel": [
[
{
"node": "AI Agent: Request Methods",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "AI Agent: Question Maker",
"type": "main",
"index": 0
}
]
]
},
"Separate Questions": {
"main": [
[
{
"node": "Question Approval",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request: Report": {
"main": [
[
{
"node": "Report Approval",
"type": "main",
"index": 0
}
]
]
},
"AI Agent: Report Editor": {
"main": [
[
{
"node": "Create the Final Report",
"type": "main",
"index": 0
}
]
]
},
"AI Agent: Second Editor": {
"main": [
[
{
"node": "AI Agent: Request Methods",
"type": "main",
"index": 0
}
]
]
},
"Create the Final Report": {
"main": [
[
{
"node": "HTTP Request: Edited Report",
"type": "main",
"index": 0
}
]
]
},
"AI Agent: Question Maker": {
"main": [
[
{
"node": "Separate Questions",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent: Second Editor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Agent: Question Editor": {
"main": [
[
{
"node": "Edit Approval",
"type": "main",
"index": 0
}
]
]
},
"AI Agent: Request Methods": {
"main": [
[
{
"node": "Create a Report",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 文档提取, 多模态 AI
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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