Explains the transition from manual chaos to automated clarity using triggers, filters, and actions, while emphasizing the importance of mapping processes before building.

Defines how applications communicate through HTTP requests (the “digital waiter”) and distinguishes between pulling data on demand and receiving real-time updates via webhooks.

Examines the “atomic” building blocks of workflows, covering the three main node categories (Triggers, Functions, Actions) and how to configure their input and output parameters.

Covers the core data structure of JSON objects and lists (“items”), explaining how to manipulate data dynamically using expressions and dot notation.

Focuses on workflow logic and architecture, detailing how to use IF nodes for splitting data paths versus duplicating connections for parallel processing.

Introduces essential tools for daily operations, specifically the Edit Fields node for data shaping, the Aggregate node for batching reports, and Webhooks for real-time triggers.

Teaches how to build resilient systems using the Execution Log for visibility, global Error Workflows for reactive notifications, and the Stop and Error node for proactive guardrails.

Provides a toolkit for identifying and solving issues, including pinning data to the canvas for live testing, retrying failed executions, and designing against silent failures.

Outlines features for team-based automation, including managing user roles (Owner, Admin, Member), secure credential sharing, and using the n8n API for instance management.