I’ve been diving into n8n for a while now. It’s pretty cool for research and content stuff. I’m getting the hang of it and seeing some good results. But then I tried out Manus and Google Deep Research. Whoa! These AI tools are incredibly smart and can handle similar tasks with simple instructions. Plus, they make managing tricky jobs like scraping websites much easier than n8n.
Now I’m questioning if all my effort with n8n might soon be outdated. Should I continue using n8n or consider switching to these new AI helpers? Your thoughts on whether n8n is still worth investing time in would be much appreciated.
While AI tools are impressive, n8n still holds significant value. Its strength lies in creating custom, automated workflows that integrate various applications seamlessly. This flexibility is crucial for businesses with specific needs that off-the-shelf AI solutions might not address.
Moreover, understanding n8n can give you a deeper insight into process automation and API interactions, which are valuable skills in today’s tech landscape. It’s not about choosing one over the other, but rather knowing when to leverage each tool’s strengths.
Consider maintaining your n8n skills while exploring AI capabilities. This dual approach can make you a more versatile professional, capable of tackling a wider range of challenges efficiently.
I’ve been using n8n for a while now, and I can say it’s still incredibly valuable. While AI tools are advancing rapidly, they can’t replace the customization and control n8n offers.
n8n excels at creating complex, tailored workflows that integrate multiple systems. This is crucial for businesses with unique processes or legacy systems that AI tools might struggle with.
Additionally, mastering n8n develops your problem-solving skills and deepens your understanding of APIs and data flows. These are transferable skills that remain relevant regardless of AI advancements.
That said, it’s wise to keep an eye on AI developments. Consider using n8n for core processes and exploring AI tools for supplementary tasks. This approach ensures you’re leveraging the best of both worlds while future-proofing your skill set.
hey dude, n8n’s still got its place imo. AI’s cool but it can’t do everything. n8n’s great for custom workflows and integrating diff tools. plus, knowing both gives u an edge. maybe use n8n for complex stuff and AI for quick tasks? that way u get the best of both worlds