This article provides a complete, practical walkthrough of the Manual Openai Automation Triggered 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 Event Feedback Summaries with GPT-4 and Google Sheets Using n8n
   
   Meta Description:  
   Learn how to automate the process of analyzing and summarizing Google Forms feedback using GPT-4 and n8n’s powerful low-code workflow builder. From collecting responses to sending out summary emails, discover how to streamline your event review process.
   
   Keywords:  
   n8n workflow automation, GPT-4, Google Sheets, Google Forms feedback, OpenAI API, automate feedback analysis, event feedback summary, email automation, markdown to HTML, no-code tools
   
   Third-Party APIs Used:
   
   - Google Sheets API (via n8n's Google Sheets node)
   - OpenAI API (for GPT-4 summarization)
   - Gmail API (for email delivery using Gmail node)
   
   Article:  
   
   Automate Event Feedback Summaries with GPT-4 and Google Sheets Using n8n
   
   Analyzing qualitative feedback from event surveys can be incredibly valuable—but also time-consuming. Whether it’s praise, constructive criticism, or Net Promoter Score (NPS) indicators, manually sifting through responses can delay your ability to iterate and improve. That’s where automation tools like n8n, integrated with AI models like OpenAI’s GPT-4, can make a powerful difference.
   
   In this article, we break down a complete workflow built in n8n that fetches responses from a Google Form, aggregates the data, uses GPT-4 to summarize insights, and sends it all in a polished HTML email to your inbox. This solution is perfect for event organizers, educators, product teams, or anyone looking to transform raw feedback into meaningful summaries—with zero manual effort.
   
   🧠 Overview of the Workflow
   
   Here’s a high-level view of what the automation achieves:
   
   1. Pull responses from a connected Google Sheets form.
   2. Combine all responses into structured arrays by question.
   3. Pass the aggregated responses to GPT-4 for summarization.
   4. Convert the AI’s Markdown-formatted output into HTML.
   5. Email the final feedback report to a designated address.
   
   Let’s look closer at each step.
   
   📥 Step 1: Retrieve Form Submissions from Google Sheets
   
   The workflow starts with a Manual Trigger (or could be set to run on a schedule). It connects to a specific Google Sheets document that is either linked to a Google Form or functioning as a standalone spreadsheet. In this example, the sheet contains responses to three event-related questions:
   
   - What went great?
   - How can we improve?
   - What is the chance of recommending our event?
   
   Using n8n’s Google Sheets node, it fetches the entire response dataset based on the sheet and document IDs. This raw data serves as the input for the next phase.
   
   🧺 Step 2: Aggregate All Responses Per Question
   
   Next, the workflow aggregates all individual entries into arrays—one for each question. This is done using the Aggregate node in n8n. Rather than analyzing each form response separately, the aggregator condenses answers to:
   
   - A single string for “What went great?”
   - A single string for “How can we improve?”
   - A single string for “What is the chance of recommending our event?”
   
   Each entry is separated by a “|” character, a delimiter that GPT-4 will later use to parse responses effectively.
   
   📊 Step 3: Summarize Using GPT-4
   
   Here’s where the AI magic kicks in. The summarized responses are sent as part of a prompt to the OpenAI GPT-4 model via n8n’s OpenAI node. The system message defines GPT-4's role: to act as a summarizer analyzing user feedback, organizing it into a cohesive report, and providing general sentiment and suggestions for improvement.
   
   The user message incorporates the JSON arrays created during aggregation. The AI is instructed to provide the response in Markdown format—making it easier to post-process into a nicely formatted email.
   
   ⚙️ System Message Example:
   > “Your task is to summarize event feedback form responses... analyze each question and prepare a summary report. It should contain an overall sentiment regarding the event, followed by the constructive ideas of what to improve.”
   
   📧 Step 4: Convert Markdown to HTML and Send Email
   
   With a Markdown-formatted summary from GPT-4 in hand, the next step is to make it email-ready. n8n’s Markdown conversion node translates the text into structured HTML. From there, the Gmail node sends an email with the full feedback summary to a predetermined account—making it easy to instantly share or archive insights across a team.
   
   ✨ Benefits of This Workflow
   
   - ⏱ Save Time: Eliminate the need to read through and sift feedback manually.
   - 🤖 AI-Powered Insight: Let GPT-4 do the heavy lifting to find sentiment trends and suggestions.
   - 💡 Scalable: Works whether you have 10 or 1,000 responses.
   - 📬 Automated Delivery: Get results delivered straight to your inbox in polished HTML.
   
   🛠 Customization Ideas
   
   - Trigger the workflow on a schedule (e.g., weekly job) instead of manual testing.
   - Split up large forms by question to keep inputs under token limits for GPT.
   - Send the email report to multiple stakeholders or log it to another database.
   
   📎 Try It Yourself
   
   You can start by copying this Google Sheets template to practice:
   📄 Event Feedback Form Template  
   https://docs.google.com/spreadsheets/d/1Kcr1oF_RrfNQJczmJDpwClOSYpvSnwbeX-_pdUo91-I/edit?usp=sharing
   
   🏁 Final Thoughts
   
   Automations like this represent the future of work—efficient, intelligent, and scalable. By combining the no-code/low-code capabilities of n8n with the analytical smarts of GPT-4, you can turn feedback into action in minutes.
   
   Whether you're running internal retrospectives, public events, meetups, or product launches—this workflow ensures that every voice is not only heard but also meaningfully interpreted.
   
   Try out this integration to streamline your event review process, and watch productivity soar.
   
   —
   
   If you'd like help building similar workflows or integrating GPT-4 into your processes, follow the “Ted's Tech Talks” series for more guides and templates.

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.