n8n Blog

APIs have been the standard software communication method for decades. Developed by Anthropic in 2024, the Model Context Protocol (MCP) is an open standard that lets...

AI used to exclusively wait for human input. Autonomous AI agents flip that pattern. Given a goal, they plan, take actions across tools and services, and check the results on their own. The shift from advice to action makes them powerful, but it also makes them genuinely risky.

Let’s take a look at what AI agents are and how to use them effectively and safely.

If you've built anything in n8n, you know the gap: you can describe what you want to automate in a sentence, but that's not the same as knowing which nodes to use, in what order, configured how, and connected to which accounts. And when the first execution fails with an error you haven't seen before, you're back in the docs and the forum.

That translation step is where ...

Running AI agents in production means more than just building them. Your agent might look reliable by design with the right model settings, guardrails in place and clear prompt structure. But when the output doesn’t make sense, you need a way to trace where the logic fell apart.

Then you notice you're fixing the same issues over and over instead of catching them with a ...

Workflow security isn’t always the highest priority for maintaining security posture. But in healthcare, finance, and other regulated  industries, automated workflows handle sensitive data every day. Gambling with the protection of this data could mean heavy fines and the loss of customer or patient trust.

Closed SaaS automation tools may add more vulnerabilities. The l...