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The model is fine. The session is broken.

Take any AI agent demo from the last six months. It works. Now ship it to real users on real networks, real devices, real attention spans. A meaningful share of those users will never finish their first conversation cleanly. Not because the model gave a bad answer. Because the connection dropped, the tab refreshed, the phone took over from the laptop, or the spinner kept spinning forever.

Smart Digital Living: How the Right Mac Tools Can Simplify Your Everyday Workflow

In an increasingly digital world, the way we organize our work and personal lives has evolved dramatically. From managing tasks and communication to creating content and staying productive, most of our daily routines now revolve around digital tools. But while technology promises efficiency, it can often have the opposite effect-especially when we rely on too many disconnected apps. The key to truly benefiting from technology isn't using more tools, but using the right ones in a smarter, more structured way.

How a Marketing Intern Ended Up Running Claude in a Terminal

Before I ever ran Claude in my terminal, I thought I already understood AI tools pretty well. Like most people, I had used ChatGPT, Google Gemini, and Perplexity for everyday tasks. Such as helping with schoolwork, organizing ideas, summarizing information, or getting through something faster when time was tight. They were useful, but they still felt separate from how real work happened.

Resource Governance and GPU Quota Enforcement Across AI Teams

Resource governance is primarily an operational discipline, but it has direct security implications that are usually overlooked. This post covers what those implications are, what Kubernetes provides natively, where it falls short for AI workloads, and how ClearML addresses both dimensions. This is the third post in our four-part series on Kubernetes Security for Enterprise AI Environments.

Quality People: From Scripts to Harnesses, the Evolution of Agentic QA

Play Quality People - Huy Tieu: The Evolution of Agentic QA: From scripts to Harnesses 17: 18 A conversation with Huy Tieu, Senior Product Manager at Katalon, on why the scripted testing model broke, what replaces it, and the one experiment every QA leader should run this week. The term "Agentic QA" is everywhere in 2026. Gartner predicts 40% of enterprise applications will feature task-specific AI agents by year's end, up from under 5% in 2025.