When AI turns you into a "one-person company," your team is quietly crumbling.

When AI turns you into a "one-person company," your team is quietly crumbling.

Last week at a gathering, a friend who works in trade told me, "Vincent, we have a young salesperson in our company who uses AI to organize customer data, write outreach emails, and create quotations—he's three times more efficient than everyone else. But now he hardly communicates with his colleagues anymore, saying, 'Anyway, asking AI is faster than asking people.'" He then chuckled bitterly, "What's worse, seeing him like this, some other salespeople are starting to get anxious and want to learn AI too, while others are simply giving up, saying, 'AI is unreliable and will make mistakes! It often gives nonsensical answers with a straight face, so just trust it.' Now in meetings, it feels like everyone's on a different wavelength." This isn't an isolated case; it's a collective phenomenon happening now. The market is flooded with courses teaching you: "Learn AI, transform into a one-person company!", "Use ChatGPT..."
Enterprise Automation Platform Selection: Comparison of the Differences between Make and n8n

Enterprise Automation Platform Selection: Comparison of the Differences between Make and n8n

First of all, technology selection is never an absolute distinction between good and bad, but a difference in applicable scenarios. It must be admitted that n8n does have significant advantages in terms of technical flexibility and customized applications. Its open source nature gives developers almost unlimited freedom and the ability to deeply customize any automation needs, which is difficult for commercial platforms such as Make.com to achieve. For technical teams or individual developers, the flexibility and control provided by n8n is undoubtedly an extremely attractive choice. However, the selection decision for enterprise applications is not just about technical advantages, but also involves broader organizational considerations. This article aims to explore key factors that enterprises should consider when introducing automation platforms, in addition to technical flexibility, such as long-term maintenance costs, authority management architecture, organizational collaboration, and knowledge inheritance. This is not about n8n...