Automation on Kacper Hajdamowicz

AI Builder in Practice: Document Processing and Prediction Without Data Scientists

Tue, 17 Feb 2026 10:00:00 +0200

Most organizations that want to add AI to their workflows face the same problem: the tools built for data scientists are too complex, but the marketing promises of “AI in one click” don’t deliver anything useful in the real world. AI Builder sits in a narrow but practical middle ground — and understanding what it actually does (and doesn’t do) is worth your time if you work inside the Microsoft ecosystem.

Low-Code, No-Code and AI Agents in 2026: What Changed and What It Means for Your Business

Tue, 10 Feb 2026 10:00:00 +0200

The low-code and no-code space has been moving fast for the past several years, but 2025 was the year the ground shifted underneath it. AI stopped being a feature bolted onto existing platforms and started restructuring the entire category. New tools emerged that didn’t exist 18 months ago. A viral open-source project gave a glimpse of what truly autonomous AI assistants look like in practice. And the established players — Microsoft, Salesforce, ServiceNow — began racing to embed agents into everything they ship.

Automation Platforms Compared: n8n, Zapier, Make, and Power Automate

Sun, 15 Jun 2025 10:00:00 +0200

If you’ve ever spent time doing the same repetitive task day after day — copying data between apps, sending the same email, updating a spreadsheet — you’ve probably thought: there has to be a better way. There is. Automation platforms let you connect your tools and build workflows that run on their own, without writing a single line of code (or with very little of it).

The problem? There are a lot of options. In this article I’ll walk you through four of the most popular ones — n8n, Zapier, Make (formerly Integromat), and Microsoft Power Automate — and help you figure out which one fits your situation best.