27d • English (en)
AI Agents and Automation Platforms (Langflow, Flowise, n8n)
Okay, this might turn into a bit of a rant. I’ve already mentioned that I’m currently working on an “AI Assistants / AI Agents” course. As part of that, I’m looking at tools like Langflow, Flowise, and n8n and trying to build typical workflows (simple chatbot with history, decision-based workflows, RAG).
With almost every workflow I try, I run into problems where things simply don’t work as they should—either because of bugs or because basic functionality is missing. Sometimes nodes can’t be connected even though they should be. Other times, type mismatches prevent flows from working at all, and nodes that could solve this (like type converters) have either just been removed or don’t work with the existing types anyway.
And what does ChatGPT say about it?“The tool is currently in a transition phase …”
That seems to apply to all of them, although I suspect n8n is still the most stable overall. On top of that, ChatGPT often gives incorrect advice, even when you explicitly ask it to rely on the current official documentation. At that point, it becomes pretty obvious that this so-called “intelligence” has clear limits.
Putting AI aside for a moment: what kind of QA is this? And what do the developers of these platforms think—how are people supposed to work with these tools if even the most basic things don’t work reliably?
My assumption: everyone wants to be right at the front of the AI hype. And yes, I think we’re still very early in this phase. So new versions are pushed out constantly just to keep up, regardless of stability. If I (or we) released software like this to paying customers, they’d be gone very quickly.
Maybe part of the problem is that large parts of these tools are themselves built with AI, which could explain many of the bugs and incompatibilities. But even then, basic functionality should be tested properly before a release.
In any case, it doesn’t reflect well on the development teams when unfinished and buggy software is released. What do you think? Is this just normal for cutting-edge software? From my perspective, the tools that will ultimately win are the ones that are solid and free of showstoppers—but maybe nobody dares to do that out of fear of falling behind.
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AI Agents and Automation Platforms (Langflow, Flowise, n8n)
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