This article provides a complete, practical walkthrough of the Trello Googlecloudnaturallanguage Automate 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:
   Automating Positive Customer Feedback with n8n, Typeform, and Sentiment Analysis
   
   Meta Description:
   Learn how to automate the collection and handling of positive feedback using n8n, Typeform, Google Cloud Natural Language API, Notion, Slack, and Trello. This no-code workflow helps teams quickly identify and act on valuable customer insights.
   
   Keywords:
   n8n workflow, Typeform automation, sentiment analysis automation, Google Cloud Natural Language API, Notion feedback management, Slack integration, Trello automation, customer feedback automation, no-code automation, positive feedback workflow
   
   Third-Party APIs Used:
   
   - Typeform API (Form submission trigger)
   - Google Cloud Natural Language API (Sentiment analysis)
   - Notion API (Store positive feedback)
   - Slack API (Send notifications)
   - Trello API (Create feedback cards)
   
   Article:
   
   Automating Positive Customer Feedback with n8n and Sentiment Analysis
   
   In the digital age, customer feedback is an invaluable resource—but sifting through it manually can take up precious time. With n8n, an open-source workflow automation platform, you can build powerful automations that analyze feedback responses and distribute them across tools your team already uses. In this article, we’ll take a closer look at a real-world n8n workflow designed to collect user feedback from Typeform, analyze its sentiment using Google Cloud Natural Language API, and route positive messages directly to Notion, Slack, and Trello.
   
   The Problem
   
   You collect regular feedback from customers through Typeform. Some responses are helpful and uplifting—others may be critical. Rather than reviewing every submission manually, you want an automated way to highlight the most positive feedback and notify your team quickly so they can acknowledge or act on it.
   
   The Solution: Automated Feedback Triage
   
   We’ve built an n8n workflow that performs the following actions automatically:
   
   1. Triggers when a new Typeform response is received.
   2. Runs language sentiment analysis on the written feedback using Google Cloud Natural Language API.
   3. Checks if the sentiment is positive (using a score threshold).
   4. If positive:
      - Stores the response in a Notion database.
      - Sends a notification to a Slack channel with the feedback and sentiment score.
      - Creates a Trello card for further team follow-up.
   
   Let’s break down each step and the tools/APIs involved.
   
   Trigger: Collect Feedback Through Typeform
   
   The starting point in this workflow is the Typeform Trigger node. It listens for new form submissions from Typeform, specifically targeting a form with the ID fBYjtY5e. This form includes a free-text question like "Any suggestions for us?" and also collects the respondent's name.
   
   Tool used: Typeform API
   
   Step 2: Analyze Sentiment Using Google Cloud Natural Language API
   
   Once n8n receives a new response, it passes the textual feedback to Google Cloud’s Natural Language API. This API evaluates the feedback’s sentiment and returns a score typically ranging from -1 (very negative) to +1 (very positive).
   
   Tool used: Google Cloud Natural Language API
   
   Step 3: Conditional Logic with the "IF" Node
   
   Using an "IF" node, the workflow checks whether the sentiment score is greater than zero. This threshold identifies feedback that is generally positive. If the condition is met, the workflow continues down the “true” path and performs a set of follow-up actions.
   
   Step 4 (Positive Sentiment Path): Store, Notify, and Track
   
   If the sentiment is positive:
   
   a. Store in Notion  
   A Notion node takes the respondent's name and their feedback and saves it into a structured database page. This makes it easy for your customer support or product team to revisit and group related feedback over time.
   
   Tool used: Notion API
   
   b. Notify via Slack  
   Next, the workflow sends a message to a Slack channel (in this case, #general). This notification includes the user's name, sentiment score, and the actual feedback so your team can immediately see and celebrate positive insights.
   
   Tool used: Slack API
   
   c. Create a Trello Card  
   Lastly, a new card is added to a specific Trello list—useful for tracking, organizing, or even scheduling follow-up actions. Each card contains the sentiment score, feedback text, and the responder's name.
   
   Tool used: Trello API
   
   The Benefits
   
   This workflow showcases how even non-engineering teams can build robust automation using n8n and readily available APIs. Here are some of the practical benefits:
   
   - Saves hours of manual sorting by automatically filtering high-quality feedback.
   - Provides real-time visibility into positive customer sentiment.
   - Keeps all team members in the loop via Slack.
   - Logs feedback methodically in Notion for long-term analysis or case studies.
   - Creates actionable items in Trello to help close the feedback loop.
   
   Final Thoughts
   
   This feedback automation workflow is a powerful example of how tools like n8n can orchestrate multiple third-party services without writing complex code. The modular design means you can easily extend it—perhaps by adjusting the sentiment threshold, adding responses to a CRM, or sending out thank-you emails to customers.
   
   For teams looking to be more proactive about feedback and customer satisfaction, this no-code solution offers a streamlined way to identify, manage, and celebrate positive experiences, automatically.
   
   Ready to take action on your feedback? Start building your customized automation in n8n today.
   
   — End —

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.