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:
   Creating an Automated Daily Email Summarization Agent Using n8n and OpenAI
   
   Meta Description:
   Learn how to build an AI-powered email summarization workflow using n8n, Gmail, and OpenAI. Save time by automatically generating and sending daily action-focused summaries of your inbox.
   
   Keywords:
   email automation, daily report, n8n workflow, OpenAI GPT-4, Gmail API, email summarization, workflow automation, productivity tools, daily email digest, AI assistant, ESAgent, summarize emails
   
   Third-Party APIs Used:
   
   - Gmail API (via n8n's Gmail node with OAuth2)
   - OpenAI API (via n8n’s LangChain OpenAI node using GPT-4o-mini model)
   
   Article:
   
   In today’s workplace, our inboxes are overflowing with updates, requests, and project details that demand immediate attention. For busy professionals, sorting through dozens or even hundreds of emails each day is both tedious and time-consuming. To combat this digital overload, automation tools like n8n can offer immense relief—especially when paired with AI capabilities like OpenAI.
   
   One smart solution is the “Email Summary Agent,” a purpose-built n8n workflow designed to fetch, summarize, and deliver a daily briefing straight to your team’s inbox. Here’s how it all works.
   
   📅 Automate the Morning Routine
   
   The workflow begins with a Schedule Trigger node configured to run every morning at 7:00 AM IST. This ensures you and your team receive a daily summary during the early hours, arming you with all key updates before your workday begins. Of course, the time can be easily modified to suit different time zones or organizational rhythms.
   
   📥 Fetching Emails from the Past 24 Hours
   
   The next node leverages Gmail’s API to pull in all emails received by a specific address (e.g., isb.quantana@quantana.in) in the past 24 hours. This dynamic search uses Google’s advanced query syntax, calculating yesterday’s date in real time to ensure that only fresh, relevant messages make the cut.
   
   This step relies on OAuth2 credentials previously set up for secure Gmail access, allowing the automation to scan inbox contents without violating privacy or policy boundaries.
   
   📋 Structuring the Data
   
   Once emails are fetched, the workflow passes them to an Aggregation node. Here, the agent organizes the data by extracting essential fields: sender, recipient, CC, and a message preview (snippet). This distillation ensures only the most pertinent information is carried forward for summarization.
   
   🧠 Summarization with OpenAI GPT-4o-mini
   
   Now comes the AI magic. The aggregated email content is fed into OpenAI’s GPT-4o-mini model (via n8n’s LangChain-enabled OpenAI node). A carefully crafted prompt instructs the model to identify key updates, important discussions, issues that need attention, and clear next steps for specific individuals.
   
   The input is parsed and restructured into a simple JSON format containing:
   - summary_of_emails: a high-level overview of discussions
   - actions: a list of action items assigned to individuals
   
   This step transforms a chaotic inbox into a neatly organized executive summary—no manual triaging required.
   
   📨 Stylized Email Report Delivery
   
   The final node in the chain crafts a well-designed HTML email using Gmail once more. The email includes stylized containers, headers, bullets, and action items, making it visually engaging and easy to digest. The subject line dynamically reflects the reporting period (from yesterday 00:00 to today 07:00 AM), making for clear and consistent documentation.
   
   The recipients are set to a primary team mailing list (e.g., team-email@example.com), with CC capability for broader visibility. The entire process—from trigger to delivery—occurs without any human intervention.
   
   🔥 Why This Matters
   
   This Email Summary Agent delivers immense value:
   
   - Saves time every morning by eliminating inbox triage
   - Highlights important issues and follow-up actions collaboratively
   - Standardizes reporting with visually appealing summaries
   - Taps into AI-powered insight without writing complex code
   
   🎯 Use Cases Across Departments
   
   The workflow is tagged across multiple n8n categories like IT Ops, Marketing, HR, Finance, DevOps, Support, and Project Management—underscoring its versatility.
   
   Here are a few ways it can be deployed:
   
   - Project Managers can keep daily tabs on communications across stakeholders.
   - HR teams can track candidate progress and follow-ups from applicant emails.
   - Finance departments can monitor approval chains or vendor communication.
   - IT Ops can flag outages or urgent tech issues from automated alerts.
   
   🛠️ Final Thoughts
   
   n8n’s low-code/no-code environment combined with OpenAI’s intelligence makes it easier than ever to automate routine digital tasks. With just a few nodes and API integrations, you can build an in-house assistant—one that works while you're still hitting snooze.
   
   Best of all, this workflow is fully customizable. Swap out the email account, change summary formats, or integrate with Slack for multi-channel output. The foundation is modular, just like any modern automation should be.
   
   So the next time you dread scanning emails at 9 AM, remember: your AI assistant could already be working on a beautifully summarized report—one that gives you a headstart on your most productive day yet.
   
   —
   
   Ready to take control of your inbox with zero stress? Spin up this workflow in n8n and let your mornings start smarter.
   
   🔥 Built with love by Quantana AI Labs.

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.