A.I.

n8n A.I. Community Night in Belgium (Ghent)

At the very first n8n Community Night in Belgium, more than 25 A.I. enthusiasts learned how to get started with n8n.

Pixel art of eight portraits of people and robots side by side.

First n8n Community Night in Belgium: How A.I. Agents Make Your Business Smarter

Discover How A.I. Agents and Workflows Make Your Business Smarter

On Tuesday evening, October 7, the very first n8n Community Night in Belgium took place in Ghent, organized by A.I. and automation agency Flowkify. It was an engaging evening full of insights, demos, and real-world examples of how n8n agents and A.I. workflows can make your business more efficient. In this recap, we look back at the four main parts of the evening and how Belgian companies are already putting A.I. agents to work today.

1. Welcome to the First Belgian n8n Community Night

The Flowkify team kicked off the evening, setting the tone right away: "Automation has only just begun." While tools like OpenAI keep getting more powerful, n8n remains a crucial piece for anyone who wants to personalize, extend, and integrate workflows with other systems. Flowkify shared their mission: helping companies work smarter through workshops, sprints, and A.I. implementations.

n8n was presented as an alternative to tools like Zapier and Make, offering more control, an open-source architecture, and extensibility through code. Ideal for anyone who wants to combine pro-code with no-code automation.

2. Building an A.I. Agent in 15 Minutes with n8n

The highlight of the evening was without a doubt the live demo: how do you build an A.I. agent with n8n in just 15 minutes? The speaker walked through, step by step:

  • the difference between workflows, A.I. workflows, and agents;
  • how to build a simple email reply agent;
  • how to give an agent tools like sending emails, reading a calendar, booking meetings, and generating replies;
  • how to use XML prompting for more reliable output;
  • why you need output parsing to turn A.I. output into usable data.

The demo made the growth path crystal clear: from manual processes, to automation, to smart A.I. agents that make decisions and take action autonomously.

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3. Case Study: Automating Sales & Cold Outreach with AI

The second part of the evening brought a real-world example. Flowkify partnered with Afsprakenmakers on an advanced cold outreach automation:

  • Data comes in through a webhook
  • Leads get enriched with social data (LinkedIn, Instagram, website)
  • A.I. generates personalized emails
  • The workflow automatically sends emails through Lemlist
  • Replies get analyzed for sentiment
  • Positive leads go to human follow-up, or eventually a voice agent

The goal: fewer cold calls, more quality meetings. The case study showed how A.I. agents and n8n workflows work together to process thousands of contacts with a personal touch.

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4. Q&A and Open Mic with 25+ n8n Enthusiasts

The evening wrapped up with an interactive Q&A, where the audience asked about:

  • the legality of scraping
  • how it compares to tools like HubSpot
  • how to give an agent memory
  • which models to use (ChatGPT 4.1 mini vs. GPT-4o)
  • how XML prompting compares to markdown or plain text
  • error handling, subflows, tagging, and debugging in n8n

There was a lot of tip-swapping between developers, A.I. strategists, and digital marketers. The vibe was curious and open — exactly what a community night should be.

Why This Community Night Mattered

This first n8n community night in Belgium makes it clear: there's a growing group of A.I. builders and automation experts who want to share knowledge. Flowkify took a leading role here, building further on a Belgian n8n community.

With the rise of OpenAI agents, new LLMs, and cross-platform automation, n8n is more relevant than ever. It bridges the gap between A.I. capability and real business needs.

Frequently Asked Questions from the n8n Community Night

1. What's the difference between a workflow, an AI workflow, and an AI agent in n8n?

  • A workflow is classic automation (if-this-then-that).
  • An AI workflow uses an LLM to, say, analyze text or suggest actions.
  • An AI agent gets instructions and tools, and decides for itself which steps to take.

2. Why would I use n8n instead of Make or Zapier?

  • Because n8n gives you more control, lets you use your own code, and it's open source.

3. What are good use cases for A.I. agents?

  • Email management, calendar management, customer service, lead qualification, report generation, and more.

4. Who is Flowkify?

  • Flowkify is a Belgian A.I. and automation agency that helps businesses with smart implementations using n8n, GPT, and other tools.

5. Where can I find more info about the Belgian n8n community?

  • Through Flowkify or their LinkedIn page. More community events are on the way! You can also check out https://aicommunity.be/

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