Ever feel like AI agents are hyped up to do just about everything, but nobody talks about the everyday stuff? Recently, I got curious and decided to test ChatGPT Atlas on a simple real-world stuff: renaming n8n nodes based on their function. You know, making automation workflows a little less confusing and a lot more human-readable.
Right from the start, I expected AI magic, quick, precise, and smart. But the reality was different. Here’s what actually happened:
- The agent removed my flow loop, which I genuinely needed for my workflow
- Renamed nodes ended up with generic, almost meaningless names
- The interface kept zooming in and out, often for no good reason
- All of this just to rename a few nodes, and it still took eight minutes
Not everything was disappointing though. When it got to the last three nodes, the agent switched between them by clicking instead of using shortcuts or escape keys. It was a small detail, but honestly, it made the navigation a bit more intuitive.
Do I Think ChatGPT Atlas Is Worth Using for This?
If you want an AI to handle the grunt work, you expect it to nail the basics, like meaningful naming and keeping your workflow structure intact. Right now, ChatGPT Atlas is promising, but for things like n8n node renaming, it feels slower and less helpful than just doing it yourself.
Better Options? Maybe, and You Can Try Them Too
I love exploring tools that actually save time. If browser-based automation with less friction sounds good, why not give Comet a try? Some people recommends me using comet instead of atlas
What Do You Think?
Have you tried ChatGPT Atlas or any other automation helpers recently? What’s your experience? Drop your thoughts below, and let’s chat about what actually works for developers today.