Automated daily email analysis & summary with GPT-4o and Gmail
n8n9 modulesv1.0agentaggregatecodegmaillmChatOpenAischeduleTrigger
Daily Email Pulse Summary: This agent summarizes a user's daily emails into a clean, actionable summary. It uses OpenAI to analyze content and sends a formatted "Daily Pulse" email at the end of each day. Main use cases: Keep track of open loops and next steps across all email conversations Identify high-potential leads and flag conversations going nowhere Eliminate the need to manually review your inbox at day’s end Build a smart summary layer using AI without hallucination or noise How it work
About this workflow
Daily Email Pulse Summary: This agent summarizes a user's daily emails into a clean, actionable summary. It uses OpenAI to analyze content and sends a formatted "Daily Pulse" email at the end of each day. Main use cases: Keep track of open loops and next steps across all email conversations Identify high-potential leads and flag conversations going nowhere Eliminate the need to manually review your inbox at day’s end Build a smart summary layer using AI without hallucination or noise How it works This workflow can be divided into eight core nodes, each serving a distinct purpose in helping a user stay on top of their day. The result is a curated, AI-generated summary delivered to your inbox — crafted from real message content, not guesswork. 1. Schedule Trigger (Trigger Node – Runs Daily at Set Time) - Kicks off the workflow at a specific time each day (e.g. 6:00 PM). - Ensures you receive your Daily Pulse consistently, without needing to run it manually. 2. Date Transformer (Function Node – Define Today & Tomorrow Range) - Uses JavaScript to calculate the current day’s date range: - today: Start of day (00:00:00) - tomorrow: Start of next day (used as a cutoff) - This ensures only emails from today are analyzed, keeping the summary focused and current. 3. Get All Messages (Gmail Node – Fetch Filtered Emails) - Pulls in all Gmail messages with internalDate between today and tomorrow. - Outputs structured data: from, subject, and body text of each email. - This forms the raw data for the daily business pulse. 4. Aggregator (Function or Item Lists Node – Combine Message Fields) - Aggregates each message into a readable format: - All messages are stitched together into a single combinedText string for analysis. - This gives the AI model full context for the day in one unified document. 5. Email Cleanup (Function Node – Remove Noise & Normalize Text) - Cleans the combinedText blob to remove: - HTML tags - Marketing footers (e.g., unsubscribe links) - Redundant whitespace or formatting artifacts - Ensures GPT gets clean, relevant message content with no distractions. 6. Agent (OpenAI Node – Generate Structured Summary) - Uses a System Prompt to define its role as an AI Chief of Staff. - Uses a User Prompt that instructs it to categorize messages into sections: - 📝 Open Loops / Pending Follow-Up - 🚀 Next Steps You’ve Committed To - 🧲 Leads Worth Following Up On - 🛑 Conversations That Aren’t Leading Anywhere - 🧠 Strategy Notes - ✅ Top 3 Tasks for Tomorrow - Built-in guardrails ensure the model only uses real content (no hallucination). - Sections with no relevant data are omitted to keep it concise. 7. HTML Formatter (Function Node – Wrap Markdown in Email-Ready HTML) - Wraps the GPT-generated markdown summary in a simple <html><body>
How to import this n8n workflow
- 1
Download the workflow JSON file after purchase.
- 2
Open n8n → click the menu → Import from File.
- 3
Select the downloaded JSON and import.
- 4
Set up credentials for each node that requires them.
- 5
Click Execute Workflow to test, then activate.
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