AI Automation
Notes on building automation systems without writing full application code. This covers n8n workflow design, AI agent nodes, webhook integrations, and patterns I use for real client projects.
What's Inside
n8n Workflows — Core concepts, workflow patterns, AI agent nodes, HTTP requests, and real production examples.
Why Low-Code Automation
Not every AI use case needs a full codebase. Low-code tools like n8n are better for:
- Connecting existing services (CRM, email, Sheets, Slack)
- Running scheduled jobs without maintaining a server
- Rapid prototyping and client deliverables
- Non-technical teams who need to maintain workflows
- Gluing together APIs without writing boilerplate
My Automation Stack
| Tool | Use Case |
|---|---|
| n8n (self-hosted / cloud) | Main workflow engine |
| Gemini / Claude via HTTP | AI nodes in workflows |
| Webhook nodes | Trigger from any external event |
| Google Sheets | Simple data store for client workflows |
| Airtable | Structured data for more complex flows |
| Telegram / Slack | Notification delivery |
n8n vs Custom Code
| Situation | Use n8n | Use Code |
|---|---|---|
| Connect 2+ SaaS tools | ✅ | |
| Schedule recurring tasks | ✅ | |
| Complex business logic | ✅ | |
| Real-time high-throughput | ✅ | |
| Client handoff needed | ✅ | |
| Full control over infra | ✅ |
See also: AI Developer for API-level LLM integration.