This article provides a complete, practical walkthrough of the Limit Code Automation 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:
   Automated Email Replies with OpenAI Using n8n Workflows and Gmail Integration
   
   Meta Description:
   Discover how to build a fully automated email assistant using n8n, Gmail, and OpenAI. This no-code workflow retrieves labeled emails, generates AI reply drafts, and removes labels—all without manual intervention.
   
   Keywords:
   n8n, Gmail API, OpenAI Assistant, email automation, automated replies, no-code email workflow, base64 encoding, Gmail thread automation, OpenAI GPT, AI draft reply, Gmail label automation, email integration
   
   Third-Party APIs Used:
   1. Google Gmail API
   2. OpenAI API (Assistant)
   
   Article:
   
   How to Automatically Generate Email Replies Using OpenAI and Gmail with n8n
   
   In the age of artificial intelligence and automation, repetitive tasks like responding to routine emails can be delegated—efficiently and intelligently. This is the premise behind an automated email reply system created using n8n—a powerful open-source workflow automation tool—integrated with Gmail and OpenAI’s Assistant.
   
   This workflow listens for emails labeled with a specific tag, sends the content to an OpenAI Assistant for draft reply generation, formats the message, and inserts it into the email thread as a draft. Afterward, it removes the trigger label to prevent duplicate processing. Let's take a closer look at how this workflow is constructed step-by-step, and how you can use or adapt it to respond to emails automatically.
   
   🕒 Scheduled Triggering
   
   The first step in the workflow is a Schedule Trigger node that runs every minute. This mechanism ensures the system continuously scans your inbox for new emails matching a predefined label. Using Gmail's API, the “Get threads with specific labels” node then retrieves all threads marked for AI response.
   
   📩 Capturing the Last Message for Context
   
   To provide a meaningful reply, the OpenAI Assistant needs the latest context. The workflow loops through each email thread with the selected label. For each one, Gmail's API is called twice:
   
   - The entire thread is loaded to identify the most recent message.
   - The last message's detailed content is then fetched individually using its message ID.
   
   This dual-step process guarantees that the AI assistant receives the latest and most relevant email in a conversation.
   
   🧠 Sending Email Content to OpenAI Assistant
   
   After identifying the relevant content, the workflow prepares it as input for the OpenAI Assistant. The “Ask OpenAI Assistant” node submits the email text to a predefined assistant model (via OpenAI’s API). This assistant must be previously configured with appropriate instructions—such as tone, preferred response structure, or domain-specific language.
   
   The assistant replies with a Markdown-formatted draft. This is intended as a natural, human-like response to the incoming email.
   
   📝 Formatting the AI Response
   
   The Markdown draft received from OpenAI isn’t immediately usable for Gmail. Gmail expects HTML—particularly for drafts that are to be sent within existing threads. Therefore, a Markdown-to-HTML conversion node transforms the response into a polished HTML format using n8n’s Markdown node.
   
   Next, the HTML reply is compiled into a raw email message. This includes fields like To, Subject, content type headers, and the converted HTML body itself, all arranged in RFC 2822 format—required by Gmail's API.
   
   🧬 Base64 Encoding and Draft Insertion
   
   Google’s Gmail API only accepts email message content if it is Base64-encoded. Hence, the raw HTML-formatted email is encoded using a Code node that calls Buffer.from(). This ensures the message content is suitable for Gmail’s “create draft” endpoint.
   
   The Add Email Draft to Thread node, using Gmail’s REST API, then inserts the encoded message into the original conversation thread as a draft. This way, the user gets full control: the AI-generated draft appears directly in Gmail, ready for review or immediate sending.
   
   🏷️ Cleaning Up: Removing Labels
   
   To ensure the automation doesn’t reprocess the same email, the workflow concludes by removing the trigger label from the thread. This action helps keep your inbox cleaner and the workflow efficient, avoiding unnecessary reruns on the same threads.
   
   🌐 Why This Matters
   
   By combining Gmail and OpenAI with n8n, this workflow enables fully automated and context-aware email responses. This system is ideal for freelancers, help desks, teams handling FAQs, customer support, or any role where timely and intelligent replies are crucial—but time-consuming.
   
   💡 Final Tips
   
   - Remember to configure the OpenAI Assistant with appropriate prompts for your specific niche.
   - The Gmail label used as a trigger should be unique and consistently applied.
   - Always review AI-generated replies before sending—especially for sensitive or official correspondence.
   
   🎥 Looking to Dive Deeper?
   
   A complete video guide is available on the creator's YouTube channel, Workfloows. You're encouraged to check it out for visual assistance, step-by-step instructions, and tips on setting up credentials for Gmail and OpenAI integrations.
   
   📌 Summary
   
   This n8n-based workflow demonstrates the power of automation and AI in inbox management. By leveraging Gmail's API and OpenAI’s generative capabilities, you're not just saving time—you’re redefining productivity.
   
   With just a few tools and some configuration, replying to emails can become a task your AI handles for you—accurately, swiftly, and professionally.
   
   Automate smart. Respond fast. AI has your inbox covered.

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.