This article provides a complete, practical walkthrough of the Aggregate Schedule Send Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automate Daily Email Summaries with AI: A Deep Dive into the “Email Summary Agent” Workflow in n8n  
   
   Meta Description:  
   Learn how the “Email Summary Agent” built on n8n automates your morning email digests. This intelligent workflow fetches, organizes, summarizes, and sends an AI-generated email report every day using Gmail and OpenAI.  
   
   Keywords:  
   n8n workflow, daily email summary, OpenAI automation, Gmail API, email digest automation, AI summarized emails, n8n AI agent, OpenAI GPT-4o-mini, email automation, business productivity tools  
   
   Third-party APIs Used:  
   - Gmail API (OAuth2)  
   - OpenAI API (GPT-4o-mini model)  
   
   —
   
   Article:  
   
   🚀 Supercharge Your Mornings with the “Email Summary Agent” n8n Workflow  
   
   For professionals inundated with email noise, manually reviewing inboxes each morning is tedious—and inefficient. Enter the “Email Summary Agent,” an AI-powered n8n workflow that automatically fetches emails from the past 24 hours, organizes them, summarizes key points and action items using GPT-4o-mini, and sends a neatly styled HTML digest to your team’s inbox every morning.  
   
   Let’s unpack how this smart automation works and why it’s a game-changer across departments—from Marketing and Finance to DevOps and HR.  
   
   ⏰ Starts at Sunrise: 7 AM Trigger  
   The workflow kicks off daily at 7 AM (Asia/Kolkata timezone) using n8n’s Schedule Trigger node. You can adjust the timing if you want summaries delivered earlier or later. This sets the entire email summarization chain in motion while you’re getting that first cup of coffee.  
   
   📨 Step 1: Gather the Last 24 Hours of Emails  
   The first major task is performed by a Gmail API node titled “Fetch Emails - Past 24 Hours.” It dynamically constructs a query using JavaScript to pull all emails received by the account (e.g., isb.quantana@quantana.in) in the past 24 hours.  
   
   This means no manual sorting ever again. Important emails from clients, partners, or internal teams? All automatically collected.  
   
   📊 Step 2: Extract and Organize Essential Email Info  
   Next, the workflow hands over the raw Gmail data to an “Aggregate” node named “Organize Email Data - Morning.” This step filters and structures the data fields to keep:  
   - Sender (From)  
   - Recipient (To)  
   - CC list  
   - Email snippet (a brief preview)  
   
   This is the raw material from which the agent builds the automated summary.  
   
   🧠 Step 3: Summarize with OpenAI GPT-4o-mini  
   Here’s where the real magic happens. The organized email data is sent to OpenAI’s API via n8n's Langchain integration. The prompt instructs OpenAI GPT-4o-mini to:  
   - Identify key details  
   - Extract specific issues  
   - Suggest action items  
   
   The output is in a structured JSON format:  
   - summary_of_emails: a bullet list of essential points  
   - actions: a list of who-needs-to-do-what-and-why type instructions  
   
   This allows prompt, easy interpretation without anyone needing to trawl through long threads or click bait-y subject lines.  
   
   📬 Step 4: Elegant HTML Digest Delivered via Gmail  
   Finally, the polished summary is sent back to Gmail via another Gmail API node. This "Send Summary - Morning" node uses handcrafted HTML and inline CSS for a beautifully styled message. It includes:  
   - A modern, responsive email layout  
   - Clearly defined “Summary” and “Actions” sections  
   - Branding footer from “Quantana AI Labs”—because even AI-generated content deserves to look classy  
   
   It’s automatically addressed to a pre-set team email, with CC options. No human touch required until action is needed.  
   
   🎯 Why It's Valuable  
   The Email Summary Agent empowers professionals to begin their workdays focused and informed. Whether you’re tracking customer inquiries, internal updates, or project progress—this workflow surfaces the signal, not the noise.  
   
   ✅ Use Cases:  
   - Project Management: Stay on top of team status updates.  
   - Support Teams: Summarize customer complaints or queries.  
   - Marketing: Identify urgent campaign issues or clients needing attention.  
   - HR: Monitor key communications, especially involvement or conflicts.  
   - DevOps/IT/Finance: Collect daily logs or transaction summaries.  
   
   🔌 APIs Under the Hood  
   This seamless experience is made possible through the integration of two third-party APIs:  
   1. Gmail API via OAuth2 – connects and retrieves/sends email data  
   2. OpenAI API (GPT-4o-mini model) – processes and summarizes natural language content  
   
   Together, they create an AI-enabled communication assistant to keep you and your team proactive and accountable.  
   
   💡 Final Thoughts  
   By transforming cluttered email threads into actionable knowledge, the “Email Summary Agent” highlights the incredible productivity potential of pairing n8n’s automation with state-of-the-art AI. From automating repetitive tasks to enhancing decision-making, this workflow is a scalable, versatile blueprint in digital productivity.  
   
   If your team drowns in emails every morning—maybe it’s time to let a bot make sense of it all while you focus on what truly matters.  
   
   Ready to stop reading and start building? Test it, customize it, and hit "Activate." Your mornings will never be the same.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.