Assistant AI Google Meet

• •Token Bot Slack ou URL Webhook
• •Clé API Notion
• •Informations d'identification Google Drive API
• •Peut nécessiter les informations d'identification d'authentification de l'API cible
• •Clé API Anthropic

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          "timeMin": "={{ $now.minus({ hours: 24 }).toISO() }}"
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        "text": "=## Meeting Analysis Task\n\nYou are an AI meeting assistant analyzing a Google Meet recording.\n\n### Meeting Details:\n- **Title**: {{ $('extractMeetingData').item.json.meetingTitle }}\n- **Date**: {{ $('extractMeetingData').item.json.meetingStart }}\n- **Participants**: {{ $('extractMeetingData').item.json.participants }}\n\n### Transcript:\n{{ $json.speakers }}\n\n### Your Tasks:\n1. Create a concise meeting summary (2-3 paragraphs)\n2. Extract all action items with responsible parties\n3. Identify any mentioned dates or deadlines\n4. Determine overall meeting sentiment\n\nFormat your response as:\n\n**Meeting Summary:**\n[Summary here]\n\n**Action Items:**\n- [Item] (Assigned to: [Person], Due: [Date])\n\n**Key Dates:**\n- [Date]: [Context]\n\n**Sentiment:** [Positive/Neutral/Negative]",
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        "content": "## 🎯 Workflow Overview\n\n### Google Meet AI Assistant\n\nThis workflow provides intelligent meeting analysis using:\n\n**Data Sources:**\n- Google Calendar (meeting data)\n- Google Drive (recordings)\n- AssemblyAI (transcription)\n\n**AI Analysis:**\n- Anthropic Claude for summarization\n- Action item extraction\n- Sentiment analysis\n\n**Outputs:**\n- Slack notifications\n- Notion task creation\n- Structured meeting insights\n\n\n**Further help**\n\nFor any questions or support, please contact:\nLinkedIn: https://www.linkedin.com/in/dominicsaraum/"
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        "content": "## 📥 Step 1: Fetch Meetings\n\nRetrieves Google Calendar events from the last 24 hours and filters for confirmed Google Meet events."
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        "content": "## 🎥 Step 2: Get Recording\n\nSearches Google Drive for the meeting recording and downloads it for transcription."
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        "content": "## 🎤 Step 3: Transcribe\n\nUses AssemblyAI to transcribe the recording with speaker labels, highlights, and sentiment analysis."
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        "height": 548,
        "content": "## 🤖 Step 4: AI Analysis\n\nClaude analyzes the transcript to extract summary, action items, key dates, and sentiment."
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        "content": "## 📤 Step 5: Distribute\n\nPosts summary to Slack and creates tasks in Notion for all action items."
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