n8n Essential Nodes (The Core 17)

Nate Herk's inventory of the 17 nodes that cover ~90% of all n8n workflow patterns, distilled from building 200+ automations. Organised by category: triggers (schedule, event, webhook, respond-to-webhook), data manipulation (split-out, aggregate, set/edit-fields, code), logic (if, switch, loop), integration (HTTP request, subworkflows), and AI (AI agent, tools, Google Sheets). Google Sheets is called out as the most versatile storage-and-control surface for beginners.

Key points

  • Schedule trigger for time-based automation runs
  • Event triggers for Gmail, Slack, CRM, form-submission based flows
  • Subworkflows – modular workflows callable from other workflows (enables tool-building patterns)
  • Split-out / aggregate pair – control parallelisation by transforming arrays into individual items and back
  • Set (edit fields) node – source-of-truth pattern, dynamic data carrying, user configuration
  • If and switch – conditional routing; switch supports more than two paths
  • Code node – predictable structured data manipulation, cheaper than AI for deterministic transforms
  • HTTP request – the escape hatch for any non-native API
  • Loop (was split-in-batches) – rate-limit management and memory control
  • Webhook / respond-to-webhook – two-way integration with external services (Lovable, 11 Labs, etc.)
  • AI agent node – used even when no tools are needed, for consistency and easy upgrade path
  • Structured output parser – turn agent output into separate fields for downstream mapping
  • Google Sheets – the default external storage, source-of-truth, and user-facing control surface

Related entities

Related concepts

Source references

  • [src-005] Nate Herk cluster — Nate Herk — n8n cluster (18 videos)

– Videos referenced: D9MIGseFB3g, Fqeo8q8-nJg

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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