Building AI Automation Systems with n8n

Rahul Joshi explains how to use n8n to connect apps, APIs, and AI models in practical automated workflows. Through examples, the guide moves from core workflow concepts to reliability practices for systems used in production.

■ n8n foundations and integrations
- Workflow design, triggers, webhooks, HTTP requests, API data handling, and self-hosting
■ AI workflows and agents
- Structured document analysis, web research, chatbots, Google Sheets knowledge and memory, and multi-agent content workflows
■ Production patterns
- Event-driven lead qualification, human approval, error handling, monitoring, execution metrics, and token tracking

For developers and no-code automation builders, the material provides examples to adapt and a framework for planning workflows. Start by identifying a repetitive process, then apply the relevant trigger, data, decision, and monitoring patterns; deployment details vary by service and infrastructure.