Workflows can use application events, webhooks, queues, and schedules as starting points, then apply branching, custom API requests, JavaScript or Python code, and failure handling. Production tooling includes automatic retries, execution logging and history, error workflows, debugging, custom failure actions, execution-data search, and concurrency limits.
For AI work, n8n supports production agents, multi-agent systems, RAG, planning, and deep research patterns. Builders can combine agent logic with APIs, code, monitoring, and human-in-the-loop guardrails.
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