{ "edges": [ { "to": "68f53a86-68a0-49e8-a1fe-89b553421eee", "from": "55b8ddc2-3cdb-4d36-b975-8c3f1b0adbf0", "toPort": "0", "fromPort": "0" }, { "to": "b787b36b-d931-4055-a528-da4b9a06c7eb", "from": "50c085ea-68ff-49b6-95a9-d0664dc82d1c", "toPort": "0", "fromPort": "0" }, { "to": "d3eb386f-e43b-4357-9371-8958d3048c9f", "from": "50c085ea-68ff-49b6-95a9-d0664dc82d1c", "toPort": "0", "fromPort": "1" }, { "to": "4e18d898-f28a-4a3b-8c74-de300adb1655", "from": "3a4b313d-35c2-4b15-b2d3-98e382fb5539", "toPort": "0", "fromPort": "0" }, { "to": "55b8ddc2-3cdb-4d36-b975-8c3f1b0adbf0", "from": "34bd9e4b-72fd-4ab5-bc99-3d3b4c872248", "toPort": "0", "fromPort": "0" }, { "to": "8ac5dcd6-3583-4922-9648-83511b69cfcc", "from": "b787b36b-d931-4055-a528-da4b9a06c7eb", "toPort": "0", "fromPort": "0" }, { "to": "50c085ea-68ff-49b6-95a9-d0664dc82d1c", "from": "68f53a86-68a0-49e8-a1fe-89b553421eee", "toPort": "0", "fromPort": "0" }, { "to": "3a4b313d-35c2-4b15-b2d3-98e382fb5539", "from": "8ac5dcd6-3583-4922-9648-83511b69cfcc", "toPort": "0", "fromPort": "0" } ], "nodes": [ { "id": "55b8ddc2-3cdb-4d36-b975-8c3f1b0adbf0", "name": "Setup", "type": "set", "params": { "fields": { "values": [ { "name": "apiKey", "stringValue": "YOUR_TAVILY_API_KEY_HERE" }, { "name": "newsAge", "type": "numberValue", "numberValue": "20" }, { "name": "maxArticles", "stringValue": "20" }, { "name": "emails" } ] }, "options": {} }, "position": [ 336, -32 ] }, { "id": "b787b36b-d931-4055-a528-da4b9a06c7eb", "name": "Extract company name", "type": "set", "params": { "fields": { "values": [ { "name": "companyName", "stringValue": "={{ $json.summary.toLowerCase().replace('meeting with', '').replace('call with', '').trim() }}" } ] }, "options": {} }, "position": [ 1280, -48 ] }, { "id": "34bd9e4b-72fd-4ab5-bc99-3d3b4c872248", "name": "Every morning @ 7", "type": "trigger", "params": { "kind": "n8n-nodes-base.scheduleTrigger", "rule": { "interval": [ { "triggerAtHour": 9 } ] } }, "position": [ 32, -32 ] }, { "id": "50c085ea-68ff-49b6-95a9-d0664dc82d1c", "name": "Filter meetings", "type": "if", "params": { "options": {}, "conditions": { "options": { "version": 1, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "or", "conditions": [ { "id": "bcfb06b1-d365-43a8-9802-869529baca98", "operator": { "type": "string", "operation": "startsWith" }, "leftValue": "={{ $json.summary.toLowerCase() }}", "rightValue": "call with" }, { "id": "4ea43ccf-d586-4985-87db-fc1e9f734351", "operator": { "type": "string", "operation": "startsWith" }, "leftValue": "={{ $json.summary.toLowerCase() }}", "rightValue": "meeting with" } ] } }, "position": [ 944, -32 ] }, { "id": "3a4b313d-35c2-4b15-b2d3-98e382fb5539", "name": "Format for email", "type": "code", "params": { "jsCode": "// Simple working version for n8n\nlet html = ``;\n\n// Try multiple ways to access the data (n8n versions vary)\nconst inputData = $json || $input.item?.json || $input.first()?.json;\n\nconsole.log('Input data:', JSON.stringify(inputData, null, 2));\n\n// Tavily returns results in a 'results' array\nconst articles = inputData?.results || inputData?.articles || [];\n\nif (Array.isArray(articles) && articles.length > 0) {\n for (const article of articles) {\n html += `\n \n \n \n `;\n }\n} else {\n html += `\n \n \n \n `;\n}\n\nhtml += '

\n ${article.title || 'No title available'}\n

\n ${article.content || article.snippet || article.description || 'No description available'}\n

\n ${article.published_date ? 'Published: ' + article.published_date + '
' : ''}\n ${article.score ? 'Relevance: ' + Math.round(article.score * 100) + '%' : ''}\n

No recent news found for this company.

';\n\nreturn { html: html };" }, "position": [ 1984, -48 ] }, { "id": "4e18d898-f28a-4a3b-8c74-de300adb1655", "name": "Send news", "type": "integration", "params": { "sendTo": "user@example.com", "message": "={{ $json.html }}", "options": { "senderName": "Meeting Prep Agent", "appendAttribution": false }, "service": "gmail", "subject": "=Latest news for '{{ $('Extract company name').item.json.summary }}'", "operation": "read" }, "position": [ 2304, -48 ] }, { "id": "d3eb386f-e43b-4357-9371-8958d3048c9f", "name": "No meetings today", "type": "passthrough", "params": { "mode": "noOp" }, "position": [ 1280, 112 ] }, { "id": "68f53a86-68a0-49e8-a1fe-89b553421eee", "name": "Get meetings for today", "type": "integration", "params": { "options": { "timeMax": "={{ $today.plus({ days: 1 }) }}", "timeMin": "={{ $today }}", "singleEvents": true }, "service": "googleCalendar", "calendar": { "__rl": true, "mode": "list", "value": "user@example.com", "cachedResultName": "Primary Calendar" }, "operation": "getAll" }, "position": [ 624, -32 ] }, { "id": "8ac5dcd6-3583-4922-9648-83511b69cfcc", "name": "Research Company/ Person", "type": "integration", "params": { "query": "={{ $json.companyName }}", "options": { "time_range": "month", "include_raw_content": true }, "service": "tavily", "operation": "run", "__originalType": "@tavily/n8n-nodes-tavily.tavily" }, "position": [ 1616, -48 ] } ] }

Meeting prep with Google Calendar, Tavily AI Research & Gmail Briefings