Valasys AI Tech

Inside Moltbook, the AI Social Network Where AI Agents Talk to Each Other Earlier this year, something unusual started circulating across the internet. A new social platform appeared online. At first glance, it looked completely ordinary. There were posts, discussion threads, and conversations forming around different topics. The interface felt familiar, like any other community […]

On artificial intelligence, creative mediums, and the very human discomfort of being adequately replaced. There’s a sentence floating through every creative workflow right now, usually delivered like a prayer and treated like a requirement. “This is good… but make it human.” Less AI. More warmth. More soul. More “you.” The brief is always confident. The

Everyone is talking about agentic AI. Investors, product teams, consultants, vendors. If you have spent any time in AI circles lately, you have heard the word. Possibly dozens of times this week alone. And if you are honest, you have probably nodded along without being entirely sure what distinguishes an “agentic” system from everything else

If you’ve spent any time in a boardroom lately, you’ve heard the term “Digital Transformation” enough to make your head spin. It’s become a buzzword, a shiny sticker that companies slap on a basic website or a new mobile app. But if you want to see what a real transformation looks like, you have to

Look, I’m going to be honest with you. Six months ago, I was knee-deep in AWS documentation, debugging WebSocket connections at 2 AM, and watching my Supabase bill climb higher than my coffee expenses. And for what? To build yet another voice AI wrapper that 50 other founders were building at the exact same time.

It’s 3:00 AM on a Tuesday in a glass-walled office overlooking a rain-slicked Chicago skyline. You aren’t there, but your brand is. Across the city, a virtual influencer named Carrie is hosting a live-streamed, Get Ready With Me session for 40k viewers. As she applies a new brand’s new holographic lip gloss, her AI core

What if the hardest part of machine learning isn’t building the model, but choosing where it lives? A few years ago, machine learning (ML) felt like a private club.  You needed massive budgets, rare PhDs, and infrastructure only Big Tech could afford. Today, that barrier is gone. The tools are accessible, the cloud does the

Imagine you are standing at the edge of a massive library where the books are being rewritten every second, the shelves move when you look away, and half the volumes are hidden behind locked doors. For decades, we’ve walked into this chaos with a single flashlight- the traditional browser and hoped we could find what

Marketers today sit in a paradox. They are expected to prove the impact of every activity while simultaneously respecting a world that increasingly treats personal data as sacred. Privacy laws tighten, browsers block cookies, and consumers demand transparency. In such a climate the debate between MMM (Marketing Mix Modeling) and MTA (Multi-Touch Attribution) is no

Okay, full disclosure: I’m not a tech wizard. I still panic when my printer blinks with a mysterious red light. But here I am, a self-proclaimed dum-dum, here to explain the magic of an  AI chatbot for website, and why it’s not just fancy tech jargon you nod at during meetings. Don’t worry, we’ll keep it