Automation
n8n, agents and automated processes
Your n8n workflows finish successfully, but the server keeps running out of storage. Discover how execution records, binary files and SQLite consume disk
An AI agent crashes halfway through a task. Does it lose its progress or pick up where it stopped? Discover how checkpoints, durable execution, and persistent
An AI agent can complete an action successfully and still receive a timeout. When the workflow retries, one customer request can become two orders, emails or payments.
An AI agent does not directly control your apps. It requests a tool call, your workflow executes it, and the result comes back. Here is the loop, the risks
A Telegram bot can be more than a chat interface. With a small Python service, it becomes a secure remote control for repeatable workflows: checking system
Modern AI automation is more than connecting a prompt to an app. Learn when to use workflows, AI agents, approvals and local models — and how to build
Introduction Modern artificial intelligence systems are increasingly used not as standalone tools, but as part of larger automated workflows.