{ "edges": [ { "to": "5f18f5bf-7b5e-488e-82c7-483d094352b7", "from": "54c3d98c-4a56-4bf8-9669-993278d932c1", "toPort": "0", "fromPort": "0" }, { "to": "f4b1a847-e483-4429-af15-88d572af6a6c", "from": "87a790ec-ad48-4ca9-bbc8-525b9bca0ace", "toPort": "0", "fromPort": "0" }, { "to": "9cfd06ec-0cf6-40ed-ab47-0537104b7cdd", "from": "e1e299f1-41a9-43bc-9396-0710626e9c0f", "toPort": "0", "fromPort": "0" }, { "to": "e1e299f1-41a9-43bc-9396-0710626e9c0f", "from": "be604586-e756-49ad-938f-fed4a8256405", "toPort": "0", "fromPort": "ai_tool" }, { "to": "18b92f78-96b2-475f-9883-a474c08d7f53", "from": "f4b1a847-e483-4429-af15-88d572af6a6c", "toPort": "0", "fromPort": "0" }, { "to": "ca62f96f-7c08-44bb-ae92-bf6c6a235f8a", "from": "9cfd06ec-0cf6-40ed-ab47-0537104b7cdd", "toPort": "0", "fromPort": "0" }, { "to": "e1e299f1-41a9-43bc-9396-0710626e9c0f", "from": "5ce06644-b9d7-4994-9b48-4be84c6c3bc0", "toPort": "0", "fromPort": "0" }, { "to": "e1e299f1-41a9-43bc-9396-0710626e9c0f", "from": "c13c006b-dfe8-4e95-983c-52e258609f0a", "toPort": "0", "fromPort": "ai_languageModel" }, { "to": "87a790ec-ad48-4ca9-bbc8-525b9bca0ace", "from": "a7dfa840-0fe6-487b-8d97-4fa6a56d157e", "toPort": "0", "fromPort": "0" }, { "to": "e1e299f1-41a9-43bc-9396-0710626e9c0f", "from": "b8a330fa-35ef-46dc-9722-9587121d5aef", "toPort": "0", "fromPort": "ai_outputParser" }, { "to": "5ce06644-b9d7-4994-9b48-4be84c6c3bc0", "from": "18b92f78-96b2-475f-9883-a474c08d7f53", "toPort": "0", "fromPort": "0" }, { "to": "54c3d98c-4a56-4bf8-9669-993278d932c1", "from": "ca62f96f-7c08-44bb-ae92-bf6c6a235f8a", "toPort": "0", "fromPort": "0" } ], "nodes": [ { "id": "set-config", "name": "⚙️ Configuration", "type": "set", "params": { "options": {}, "assignments": { "assignments": [ { "id": "config-calendar-id", "name": "calendarId", "type": "string", "value": "user@example.com" }, { "id": "config-slack-user-id", "name": "slackUserId", "type": "string", "value": "YOUR_SLACK_USER_ID" } ] } }, "position": [ 3760, 3460 ] }, { "id": "a7dfa840-0fe6-487b-8d97-4fa6a56d157e", "name": "Google Calendar Trigger", "type": "integration", "params": { "options": { "matchTerm": "Meeting" }, "service": "googlecalendartrigger", "operation": "run", "pollTimes": { "item": [ { "mode": "everyMinute" } ] }, "triggerOn": "eventEnded", "calendarId": { "__rl": true, "mode": "id", "value": "={{ $('⚙️ Configuration').item.json.calendarId }}" }, "__originalType": "n8n-nodes-base.googleCalendarTrigger" }, "position": [ 4192, 2720 ] }, { "id": "87a790ec-ad48-4ca9-bbc8-525b9bca0ace", "name": "Wait", "type": "passthrough", "params": { "mode": "noOp", "unit": "minutes", "amount": 10 }, "position": [ 4400, 2720 ] }, { "id": "f4b1a847-e483-4429-af15-88d572af6a6c", "name": "Get an event", "type": "integration", "params": { "eventId": "={{ $('Google Calendar Trigger').item.json.id }}", "options": {}, "service": "googleCalendar", "calendar": { "__rl": true, "mode": "id", "value": "={{ $('⚙️ Configuration').item.json.calendarId }}" }, "operation": "get" }, "position": [ 4576, 2720 ] }, { "id": "18b92f78-96b2-475f-9883-a474c08d7f53", "name": "Filter Meeting Notes File", "type": "code", "params": { "jsCode": "const attachments = $input.item.json.attachments || [];\n\nconst notesDoc = attachments.find(a => a.title === \"Notes by Gemini\");\n\nreturn [{\n json: {\n notesFileId: notesDoc?.fileId || null,\n notesFound: !!notesDoc,\n }\n}];" }, "position": [ 4800, 2720 ] }, { "id": "5ce06644-b9d7-4994-9b48-4be84c6c3bc0", "name": "Get a document", "type": "integration", "params": { "service": "googleDocs", "operation": "get", "documentURL": "={{ $json.notesFileId }}" }, "position": [ 5072, 2720 ] }, { "id": "e1e299f1-41a9-43bc-9396-0710626e9c0f", "name": "AI Agent", "type": "llm", "params": { "text": "=You are an expert at designing concise, effective post-meeting surveys.\n\nBased on the meeting notes provided, generate 5-7 survey questions that will help \nthe meeting organiser collect meaningful feedback from attendees.\n\nRules:\n- Questions must be directly based on the topics actually discussed in the meeting, \n not generic meeting feedback questions\n- Use a mix of: rating scales (1-5), yes/no, and max 2 open-ended questions\n- Keep every question short and unambiguous\n- Focus on: outcomes achieved, decisions made, action item clarity, and overall value\n\nUse the provided Weavely Forms tool to create the survey, once it's fully created publish it and only return the editor link provided by the tool.\n\n {{ $json.content }}", "prompt": "=You are an expert at designing concise, effective post-meeting surveys.\n\nBased on the meeting notes provided, generate 5-7 survey questions that will help \nthe meeting organiser collect meaningful feedback from attendees.\n\nRules:\n- Questions must be directly based on the topics actually discussed in the meeting, \n not generic meeting feedback questions\n- Use a mix of: rating scales (1-5), yes/no, and max 2 open-ended questions\n- Keep every question short and unambiguous\n- Focus on: outcomes achieved, decisions made, action item clarity, and overall value\n\nUse the provided Weavely Forms tool to create the survey, once it's fully created publish it and only return the editor link provided by the tool.\n\n {{ $json.content }}", "options": {}, "provider": "openai", "promptType": "define", "approximated": true, "hasOutputParser": true }, "position": [ 5408, 2720 ] }, { "id": "c13c006b-dfe8-4e95-983c-52e258609f0a", "name": "OpenAI Chat Model", "type": "llm", "params": { "model": "gpt-4.1-mini", "options": {}, "provider": "openai", "builtInTools": {} }, "position": [ 5344, 2912 ] }, { "id": "be604586-e756-49ad-938f-fed4a8256405", "name": "MCP Client", "type": "integration", "params": { "options": {}, "service": "mcp", "operation": "read", "endpointUrl": "https://mcp.weavely.ai/mcp" }, "position": [ 5504, 2912 ] }, { "id": "b8a330fa-35ef-46dc-9722-9587121d5aef", "name": "Structured Output Parser", "type": "passthrough", "params": { "mode": "noOp", "jsonSchemaExample": "{\n\t\"editor URL\": \"https://...\"\n}" }, "position": [ 5664, 2912 ] }, { "id": "9cfd06ec-0cf6-40ed-ab47-0537104b7cdd", "name": "Get Share URL", "type": "code", "params": { "jsCode": "const output = $('AI Agent').item.json.output;\nconst url = typeof output === 'string' ? output : output['editor URL'];\nconst shadowFormId = url.split('/').pop();\n\n// Step 1: Fetch shadow form spec\nconst spec = await this.helpers.httpRequest({\n method: 'GET',\n url: `https://api.weavely.ai/forms/${shadowFormId}/client`,\n headers: {\n 'Accept': 'application/json'\n }\n});\n\n// Step 2: Create anonymous copy owned by the user\nconst newForm = await this.helpers.httpRequest({\n method: 'POST',\n url: 'https://api.weavely.ai/v1/forms',\n headers: {\n 'Content-Type': 'application/json',\n 'Origin': 'https://forms.weavely.ai',\n 'Referer': 'https://forms.weavely.ai/'\n },\n body: JSON.stringify({\n name: spec.name || 'Post-Meeting Survey',\n publish: false,\n formJSON: spec.formJSON,\n themeJSON: spec.themeJSON,\n settings: spec.settings,\n logicRules: spec.logicRules || [],\n eventTriggers: spec.eventTriggers || []\n })\n});\n\nreturn [{\n json: {\n shareUrl: 'https://forms.weavely.ai/' + newForm.id,\n claimUrl: newForm.editor + '?publish=true',\n formId: newForm.id\n }\n}];" }, "position": [ 5792, 2720 ] }, { "id": "ca62f96f-7c08-44bb-ae92-bf6c6a235f8a", "name": "Send message and wait for response", "type": "integration", "params": { "user": { "__rl": true, "mode": "id", "value": "={{ $('⚙️ Configuration').item.json.slackUserId }}" }, "message": "=New post-meeting survey ready for your approval:\n\n*Meeting:* {{ $('Get an event').item.json.summary }}\n\n*Step 1:* Click to claim and publish your form in Weavely (free account required):\n{{ $('Get Share URL').item.json.claimUrl }}\n\n*Step 2:* Once published, click Approve below to send the survey to all attendees.", "options": {}, "service": "slack", "operation": "sendAndWait", "authentication": "oAuth2" }, "position": [ 6144, 2768 ] }, { "id": "54c3d98c-4a56-4bf8-9669-993278d932c1", "name": "If", "type": "if", "params": { "options": {}, "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "935f9a3e-519e-41e0-8a37-c45f03716d80", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{ $json.data.approved }}", "rightValue": false } ] } }, "position": [ 6400, 2768 ] }, { "id": "5f18f5bf-7b5e-488e-82c7-483d094352b7", "name": "Send a message", "type": "integration", "params": { "sendTo": "={{ $('Get an event').item.json.attendees.map(item => item[\"email\"]).join(', ') }}", "message": "=\n\n\n \n \n \n \n

\n \n \n \n \n \n \n \n \n \n \n

Post-meeting survey

Hi,

Thanks for joining today's meeting. We'd love your quick feedback — it takes less than 2 minutes and helps us make future meetings more valuable.

\n \n \n \n \n

\n Take the survey →\n

Or copy this link into your browser:

This survey was automatically generated based on your meeting. If you have any questions, reply directly to this email.

\n\n", "options": {}, "service": "gmail", "subject": "={{ $('Get an event').item.json.summary }} — Post-meeting survey", "operation": "read" }, "position": [ 6784, 2752 ] } ] }

Generate post-meeting surveys from Google Meet notes with OpenAI and Weavely