Roman Labish

You can't bolt AI onto a system that was never designed to be understood. I've seen this happen more times than I can count. Companies assume AI coding tools will make their development teams instantly more productive. So the team starts using Copilot to generate code, explain...

Most companies don't fail at AI because of the technology. They fail because they weren't ready for it. I've seen this repeatedly in traditional industries like logistics, manufacturing, healthcare, and finance. Here's what real AI readiness actually looks like: 1️⃣ Your data...

Every time, I think the same thing: the legacy system isn't the real problem - the inaction is. The decision gets pushed to next quarter. Then the quarter after that. Meanwhile, competitors who moved are pulling ahead. They're integrating AI, shipping faster, and serving...

AI architecture matters more than people think. A lot of teams are trying to replace entire systems with one LLM layer, but production environments are way more complicated than that. Rules-based logic, statistical models, and contextual behavior all have their place. Feels...