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Alessandro Federici
AI Automation & Full-Stack Product Developer
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Most people don’t avoid automation because they lack ideas.
They avoid it because turning “when this happens, do that” into a working system can swallow an afternoon.
n8n has just introduced an assistant that can take a plain-English request, build the workflow, run it, and help...
Your next customer may discover your product inside a conversation, not on a search page.
People are already asking AI tools what to buy, compare options and recommend.
That means a beautiful store is no longer enough. If your product names, descriptions, prices and...
AI is becoming useful for a simple reason: it’s starting to finish the work, not just suggest what to do.
For a small business, the difference is clear.
“How should I follow up with this lead?” is advice.
Researching the lead, preparing a personalized message and updating the...
A workflow can finish successfully and still be wrong.
That is the reliability problem with production AI agents. A green execution only tells you the workflow ran; it does not tell you whether the model had the right context, chose the right tool, or returned a useful answer.
A...
AI agents are most useful when they reduce uncertainty—not when they silently replace judgment.
The Next.js team just used a research agent to review a backlog of 2,244 GitHub issues. In roughly three weeks, 1,462 issues were closed and only 3 were reopened.
What made the workflow...
