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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

Dr. Aki Wijesundara

AI Founder | Educator | Google AI Accelerator Alum

Manu Jayawardana

Manu Jayawardana

Exited AI Founder (Rise AI: 35k Users) | Co-Founder of Krybe and Snapdrum.com

Previous students from

Google
Meta
OpenAI
NVIDIA
Amazon Web Services
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