The email arrived on a Tuesday morning: "Your cloud bill for last month: $2.4 million." The CFO's response was immediate: "That's 3x our budget. What the hell are we running?" The answer? Nothing special. Just a standard data analytics workload that happened to cross availability zones. A lot. Turns out, 80% of that bill—nearly $2 million—was data egress fees. Not compute. Not storage. Just the pr
OK, let's talk about Microsoft's new Fairwater "AI factory,” (The quotes here are doing a lot of work… do we REALLY need a new name for this? It’s so dumb). They're calling it the world's most powerful AI datacenter. Cool. Millions of GPUs. Liquid cooling. Storage stretching five football fields. Here's what they're NOT telling you: the math on utilization is going to be BRUTAL. If these chips ran
The Reality Check ClickHouse just dropped a study that every executive should read: LLMs are great at some things, but basing your infrastructure on them? Too much, too soon. They tested five leading models (Claude Sonnet 4, GPT-o3, GPT-4.1, Gemini 2.5 Pro, and the newly released GPT-5) against real observability scenarios. The verdict? We're nowhere near the autonomous operations future Silicon
The 800 Million Weekly ChatGPT Users Who Are Just Getting Started Here's something that should excite everyone: ChatGPT just hit 800 million weekly active users. That's one in ten humans on Earth. Adoption faster than the world wide web. 18 billion messages every single week. And the really wild part: we haven't even scratched the surface of what's possible. OpenAI's latest research shows that ~
I finished an English series on the way I think ordinary people can start using AI for real work. The point is not to become an AI expert first. The point is to have one place where you can say what you want, give the tool access to the right folder, and check the result. Anything important still needs a human pause: publishing, deleting, paying, or authorizing. My preferred starting point is simp
The Model Context Protocol (MCP) has become the default standard for connecting AI agents to external tools and APIs. Governed by the Linux Foundation since early 2025 and adopted by OpenAI, Anthropic, Microsoft, and Vercel, MCP is the USB-C port of the AI ecosystem — one protocol that lets any LLM application talk to any tool server. But there's a gap between reading the spec and building somethi
If you have spent any real time with Claude Code, you have probably noticed the same problem I did. You write the same instructions in the prompt every other day. "Use four-space indentation here." "Always run the linter after edits." "Format commit messages this way." After the third or fourth repeat, it stops feeling like a prompt and starts feeling like missing config. Skills are how Claude Cod
Adding email and calendar tools to an AI agent is mostly an exercise in restraint. Give it 50 commands and the agent gets confused. Give it 5 carefully-chosen ones and it punches above its weight. After running agents against the Nylas CLI for a few months, these are the five I keep coming back to. Each gets exposed via MCP (nylas mcp install) so the agent can call them directly. nylas email send