Free Lesson
Designing Stateful AI Agents Without Overengineering
30 min
Feb 9, 2026 5:00 PM
Virtual (Zoom)
In this video
What you'll learn
Build a stateful AI agent end-to-end in n8n
Design and implement a complete n8n agent workflow with state, memory, and control flow that behaves consistently.
Design agent state and control without overengineering
Model memory, decisions, and tool usage using simple n8n patterns instead of complex agent frameworks.
Test, debug, and iterate on agent behavior
Inspect executions, trace failures, and refine agent workflows using n8n logs and step-level outputs.
Why this topic matters
Most AI agents fail not because they lack intelligence, but because they lack structure. Teams often jump straight to complex agent frameworks when a simple, stateful workflow would work better. This session shows how to design agents as systems, using n8n to make behavior explicit, debuggable, and extensible.
You'll learn from

Dr. Aki Wijesundara
AI Founder | Educator | Google AI Accelerator Alum

Manu Jayawardana
Exited AI Founder (Rise AI: 35k Users) | Co-Founder of Krybe and Snapdrum.com
Previous students from
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