This article provides a complete, practical walkthrough of the Code Webhook Send Webhook 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 AI Email Replies with n8n, ChatGPT, and Google Sheets Integration
   
   Meta Description:
   Learn how to build a powerful n8n workflow that automatically responds to emails using OpenAI's GPT model, handles user feedback via webhooks, and stores all interactions in Google Sheets.
   
   Keywords:
   n8n, ChatGPT, OpenAI, Google Sheets, automated email replies, Gmail automation, AI email reply, webhook feedback, GPT fine-tuning, no-code automation, email parser, workflow automation
   
   Third-party APIs Used:
   - OpenAI GPT API
   - Gmail API (via OAuth2)
   - Google Sheets API (via OAuth2)
   
   Article:
   
   Build an Automated Email Reply System Using n8n, ChatGPT, and Google Sheets
   
   In today’s dynamic business landscape, responding to emails with speed and relevance is vital. However, manually crafting replies can be time-consuming, especially when dealing with repetitive inquiries. What if you could automate intelligent email responses, log every exchange, and even collect feedback to fine-tune your AI's performance—all with no-code tools?
   
   This article dives into how you can set up an end-to-end email automation workflow using n8n, ChatGPT (OpenAI API), Gmail, and Google Sheets.
   
   📬 What Does This Workflow Do?
   
   This powerful n8n workflow is designed to:
   - Detect when a new email arrives via Gmail.
   - Extract the body of the email for AI processing.
   - Generate a smart, contextual reply using the OpenAI GPT API.
   - Send the AI-generated response as a reply to the original sender.
   - Log both the user's original message and the AI response in a Google Sheet.
   - Enable recipients to give feedback via clickable links in the email.
   - Record feedback back into the same Google Sheet for future fine-tuning.
   
   Let’s break it down.
   
   ⚙️ Workflow Structure Overview
   
   The workflow is essentially two triggers in one:
   1. **On email received** – handles AI-powered replies.
   2. **On feedback given** – captures user feedback via webhook URLs.
   
   Trigger 1: When an Email is Received
   -------------------------------------
   
   1. 📩 Gmail Trigger:
      The workflow starts with a Gmail trigger that polls the inbox every minute for new emails.
   
   2. ✉️ Filter Specific Recipients:
      Only emails from whitelisted senders (or all, if configured with "*") are allowed to proceed.
   
   3. 🧠 Parse and Analyze Email:
      Uses a JavaScript code node and the EmailParser library to intelligently extract the new message content, ignoring quoted text and signatures.
   
   4. 🔢 Token Limit Checker:
      Ensures the parsed email body doesn’t exceed OpenAI’s token threshold to prevent generation errors.
   
   5. 🆔 Generate UUID:
      Assigns a unique ID to each interaction for logging and feedback tracking.
   
   6. 🤖 Generate Reply via OpenAI:
      Sends the extracted message to OpenAI GPT API using a custom prompt, with token size controlled via configuration.
   
   7. 📤 Send the Reply:
      Formats the response into an HTML-based email template and sends it as a reply using the Gmail API. The email includes feedback links (Yes/No), each tied to the unique interaction ID.
   
   8. 📊 Log the Interaction:
      Adds the original email, AI response, and UUID to a Google Sheet. If the sheet doesn’t exist, it is created automatically. Spreadsheet and worksheet IDs are managed via static data or set manually.
   
   Trigger 2: When Feedback is Given
   -----------------------------------
   
   1. 🌐 Webhook Listener:
      A public webhook URL listens for incoming clicks from the “Yes” or “No” feedback links in the email.
   
   2. 🧾 Store Feedback:
      Upon receiving feedback, the workflow updates the corresponding row in the Google Sheet by matching the interaction ID.
   
   3. 🙏 Confirmation Page:
      Shows a simple HTML thank-you message after feedback is submitted.
   
   🛠️ Setup & Configuration
   
   To make this workflow reusable and adaptable:
   - The Configure node allows setting:
     - Max tokens
     - Reply token size
     - Accepted recipient email(s)
     - Spreadsheet and worksheet names/IDs
   - Static data is used to persist spreadsheet IDs between executions.
   
   📌 Additional Features
   
   - Easily restart from scratch by deleting the spreadsheet and refreshing workflow static data.
   - Handles oversized emails by blocking them from processing.
   - Extendable “fallback” nodes allow easy additions for future actions.
   
   🤝 Third-Party Services Integrated
   
   This workflow orchestrates actions using:
   - ✅ OpenAI GPT API for language generation.
   - ✅ Gmail API via OAuth2 for email reading and replying.
   - ✅ Google Sheets API via OAuth2 for logging communication and feedback.
   
   🎯 Use Cases
   
   - Customer support auto-reply systems.
   - Help desk or ticketing tools.
   - AI-enhanced email campaign responses.
   - Automatically fine-tuned GPT training collection.
   
   Conclusion
   
   This n8n workflow acts as your AI email support agent—reading emails, generating responses with ChatGPT, sending replies, logging the context, and learning from feedback. With minimal configuration and no-code flexibility, it’s a smart, scalable solution for handling email communication intelligently.
   
   Try deploying this workflow today with your OpenAI and Google credentials—and let your inbox become your automation ally.

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.