Hazen Tech

Ask five different engineers what's slowing down their AI rollout, and at least three will say the same thing: integration. Not the model. Not the prompts. The plumbing. Getting an AI assistant to actually talk to your CRM, your ticketing system, or your internal database has, until recently, meant custom code for every single connection. Multiply that across a dozen tools and a handful of AI platforms, and you've got a maintenance nightmare nobody signed up for. That's the problem Model Context Protocol was built to solve. What MCP Actually Is Strip away the jargon and MCP is refreshingly simple: it's a shared language that lets AI models talk to outside tools and data sources without a custom translator built for each one. Anthropic released it as an open standard in late 2024, and the nickname that's stuck to it says a lot — people call it the USB-C port for AI. Just like you don't need a different cable for every device anymore, MCP means you don't...

Chrome just won a legal fight for its life. In September 2025, a federal judge could have forced Google to sell off the browser entirely. He didn't — Judge Amit Mehta refrained from ordering Google to sell off Chrome, though he did order the company to end exclusive deals that made Google the default search engine on phones and other devices, asNPR reported at the time . Google kept its crown jewel. But here's the twist nobody expected: the real threat to Chrome was never the courtroom. It's a browser that talks back. Walk into any tech forum right now and you'll see the same three names on repeat: Atlas, Comet, Dia. OpenAI's Atlas browser puts ChatGPT inside your address bar. Perplexity's Comet reads your tabs, books your appointments, and answers questions with citations attached. Dia, from the team that built Arc, wants you to "chat with your tabs" instead of just opening them. None of these is a toy anymore. So, is Chrome cooked? Not exactly. C...

Ever notice how tech salaries stopped making sense a while back? Not in a bad way. In a "wait, that entry-level posting says how much?" kind of way. A mid-level engineer with two or three years of machine learning under their belt is now out-earning some VPs from a decade ago, and nobody's really talking about how fast that happened. So where's the actual money right now? Not the LinkedIn-flex version. The real one. AI engineers are eating everyone's lunch Let's start with the obvious one. Machine learning and AI engineers sit at the top of pretty much every hiring report you'll find, and it isn't close. Base pay for these roles usually starts somewhere in the mid-$100,000s and climbs well past $250,000 once you're talking senior folks at companies actually running AI in production, not just poking at a chatbot demo in a Slack channel. LinkedIn's 2026 Jobs on the Rise report put AI engineer at number one on its list of fastest-growing US...