How to Build Your First AI Agent with n8n + LLMs
As automation evolves beyond rule-based workflows, AI agents are emerging as the next frontier. These systems can think through tasks, make decisions, use tools, and adapt to situations, enabling smarter automation for businesses and builders.
For many professionals, the challenge is not access to AI tools, but knowing how to design and deploy agents that actually solve real problems. The gap between experimenting with AI tools and building reliable AI-powered automations is where real opportunity lies.
This practical, builder-focused session explores how to design and deploy your first AI agent using n8n and Large Language Models. Rather than focusing on theory, the session will walk through real use cases, core components of agents, and live examples of how intelligent automation can be implemented today.
The session positions AI agents as a natural evolution for automation builders and provides a clear pathway for those who want to deepen their skills and move toward production-ready systems.
Target Audience
This session targets:
Automation builders and n8n community members
Developers and technical professionals exploring AI
Product and tech-savvy operators building internal tools
Freelancers and consultants offering automation services
Innovation and digital transformation professionals
Tech-curious professionals looking to upskill in AI automation
Objectives
By the end of the session, participants will:
Understand what differentiates AI agents from traditional automation
Learn the core components of an AI agent (memory, tools, reasoning)
See how n8n + LLMs can be combined to build agents
Identify practical use cases for AI agents in real workflows
Gain clarity on the skills needed to build more advanced agents