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Learn how n8n built their self-correcting AI Workflow Builder through this 15-minute technical deep dive with the AI Squad team. Discover the high-level architecture behind the feature that allows users to generate workflows from text descriptions, with the AI system capable of iterating and fixing its own outputs. Explore the custom AI Agent Tools leveraged during workflow generation and iteration processes, and understand how the team developed a comprehensive evaluations framework to handle such a complex feature. Gain insights into the balance between evaluation efforts and feature implementation, while examining the technical requirements that make iteration a key component of the system. The discussion covers the importance of evaluations in AI development and provides a detailed look at the framework specifically designed for the AI Workflow Builder, currently available on n8n cloud with a self-hosted version in development.
Syllabus
00:00 - What & Why
01:30 - High Level Architecture
02:55 - Iteration as key requirement
04:46 - Custom Agent Tools
08:05 - Importance of Evals
08:36 - Evals Framework for AI Workflow Builder
11:36 - Evals vs. Feature Implementation Effort
13:35 - Wrap up
Taught by
n8n