This article provides a complete, practical walkthrough of the Markdown Stickynote Send n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Simple setup in 5-15 minutes. One‑time purchase: €9.

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:  
   Automating Email Responses with AI and Human Oversight Using n8n
   
   Meta Description:  
   Discover how to build a simple yet effective "human-in-the-loop" email automation system using n8n, OpenAI, and IMAP. From summarizing content to AI-generated replies and human validation, streamline your inbox management with AI-enhanced workflows.
   
   Keywords:  
   n8n workflow, email automation, AI email reply, OpenAI GPT, human-in-the-loop, IMAP email automation, business email response bot, LangChain summarization, SMTP automation, GPT-4o-mini, DeepSeek AI, n8n OpenAI integration
   
   Third-Party APIs Used:
   
   - OpenAI GPT-4o-mini (via OpenAI API)
   - DeepSeek Chat Model (via OpenAI-compatible API)
   - IMAP email service (via IMAP integration)
   - SMTP service (for sending emails)
   
   Article:
   
   How to Automate Your Email Workflow with AI and Human-In-The-Loop Using n8n
   
   Managing business emails can quickly become time-consuming, especially when timely, professional responses are expected. Fortunately, with the rise of low-code tools like n8n and the integration of AI language models, it's now possible to automate inbox responses while maintaining quality control. This article outlines a simple yet powerful n8n workflow that reads incoming emails, uses AI to summarize and respond, and includes human approval before sending the reply.
   
   Let’s walk through the core components of this "Human in the Loop" email response system.
   
   Reading Incoming Emails
   
   The workflow begins with the Email Trigger (IMAP) node, which monitors an inbox—connected using IMAP credentials (in this case, for info@n3witalia.com). Once an email arrives, it triggers the rest of the workflow.
   
   Converting Email HTML to Markdown
   
   The next step is to process the email body. Emails often come in HTML format, which can be problematic for LLMs (large language models like GPT). So, the HTML content is converted into Markdown using the Markdown node. This makes the email text easier to parse and understand for the AI models.
   
   Summarizing the Email with AI
   
   The Markdown output is passed to a LangChain node called "Email Summarization Chain", which uses AI (e.g., DeepSeek Chat Model) to distill the email content into a concise summary—limited to 100 words. This helps the AI later understand what kind of response is appropriate without having to analyze lengthy email text.
   
   Crafting an AI-Based Email Reply
   
   Once the email is summarized, it reaches the "Write email" node. Here we use GPT (specifically, OpenAI’s GPT-4o-mini model) to generate a professional reply. It’s instructed to remain concise, under 100 words, and strictly respond in the form of an email body—without altering the subject line.
   
   The prompt to the language model reads:
   “You are an expert at answering emails. You need to answer them professionally based on the information you have. This is a business email. Be concise and never exceed 100 words.”
   
   Human-in-the-Loop Approval
   
   Before the email is sent, there's a human validation step built in. The reply generated by AI is passed to a "Set Email Text" node and emailed to a designated reviewer via the "Approve Email" node. The email includes both the original message and the suggested AI reply. This allows a human to review and approve (or reject) the proposed response.
   
   An "IF" node labeled “Approved?” checks if the response has been approved. If yes, the workflow continues to the final step; otherwise, the email is never sent.
   
   Sending the Approved Email
   
   If the human reviewer gives the green light, the reply is finalized and issued using the "Send Email" node via the connected SMTP credentials. The subject is automatically prefixed with “Re:”, and the message is sent back to the original sender—completing the cycle.
   
   Why This Workflow Works
   
   This workflow combines several best practices for AI email automation:
   
   - Ensures clarity by converting content to Markdown
   - Uses LLMs to summarize and compose responses intelligently
   - Maintains quality through a human-in-the-loop approval process
   - Sends only approved responses, reducing the risk of miscommunication
   
   It’s a great fit for businesses seeking scalable customer support, internal communication handling, or lead nurturing—without sacrificing professionalism or accuracy.
   
   Extending the Workflow
   
   This template can be extended or modified in several ways:
   
   - Integrate Gmail or Outlook for broader email source compatibility
   - Add decision branches based on keyword detection or sender information
   - Enable automatic tagging or forwarding mechanisms
   
   Conclusion
   
   With n8n, combining traditional automation techniques with state-of-the-art AI becomes both simple and powerful. This workflow exemplifies the best of both worlds: efficiency through automation and accuracy via human oversight. Whether you're a small business or an enterprise, adopting such intelligent systems will help you stay on top of communication while reducing manual load.
   
   Try deploying this in your own n8n instance and see how AI can transform your business communication strategy.

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.