AI-Powered Document Summarizer & Notifier

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        "content": "## 📑 Auto trigger and checking file type"
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        "content": "## 📑 Docs, TXT file route"
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        "content": "## 📑 Summarizing docs"
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        "content": "## 📑 Notifier"
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        "content": "## 📑 PDF file route\n"
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        "content": "# 🛠️ Setup Guide  \n## **Author:** [Krishna Sharma]\n\nHere's the step to create AI-Powered Document Summarizer & Notifier workflow in n8n:\n\n### ✅ Step 1: Create a folder within Google Drive and make it public.\nThis will be the folder where you will be adding files (PDF/Docs) to summarize.\n\n### ✅ Step 2: Add Trigger node 'On changes involving a specific folder' from Google Drive\n2.1 Setup [Google OAuth2 API](https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service) and use Client ID and Client Secret to establish a connection.  \n2.2 Select mode as 'every minute' and connect the folder by selecting from the list, ID, or by URL.  \n\n### ✅ Step 3: Add If node to set route for PDFs and Docs/Text files\nSet condition: Mime type contains `application/vnd.google-apps`.  \nDocs/Text files go to the **True** branch, while PDFs go to the **False** branch.\n\n### ✅ Step 4: Add Google Get Document node to the True branch\nDo this followed by adding a Set node to make the reference field uniform for the AI agent input.\n\n### ✅ Step 5: Add Google Drive Download File node to the False branch followed by Extract from PDF node\nThis will download the PDF file, which will then be processed by the next node to extract the text.\n\n### ✅ Step 6: Connect OpenAI Chat model to Doc Summarizer AI Agent\nHook up the OpenAI Chat model you would like to use, connect it via [OpenAI API](https://docs.n8n.io/integrations/builtin/credentials/openAi).  \n\n### 🧠 Step 7: Hook up the Doc/PDF text and refine the system prompts\nFirst, map the text to the user message. Additionally, tailor the assistant’s system prompts to match your **use case**.  \n⚠️ The default prompt is written to get **Title, Summary, Sentiment, etc.**, so be sure to adjust accordingly.\n\n### ✅ Step 8: Connect channel to get notified\nFinally, add Slack/Gmail to get notified with the summary.\n\n### 🧪 Step 9: Run & Test  \nTest the setup and confirm you're getting responses as expected."
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          "systemMessage": "=You are a concise, factual document summarizer. \n\n- Title: short title (<= 60 chars)\n- Summary: concise summary (3–5 sentences; <= 300 characters)\n- Key Points: array of up to 5 short bullet points (each <= 140 chars)\n- Action Items: array of up to 3 suggested actions (may be empty)\n- Language: 2-letter ISO code of detected language (e.g., \"en\")\n- Sentiment: \"positive\", \"neutral\", or \"negative\"\n- Truncated: boolean (true if input was trimmed / chunked)\n- Summary Length Chars: integer (actual character length of summary)\n- Max Tokens: 200-300\n\nRules:\n1. Keep the summary factual; do not invent facts or dates. If unsure, use \"likely\" or omit the fact.\n2. If the input contains clear dates, people, numbers or deadlines, include them in key_points.\n5. Always follow the character / length constraints above."
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