Introduction Preparing for Google Cloud certifications can feel overwhelming. Most resources focus heavily on theory, but when it comes to the actual exam, what really matters is how well you can apply concepts in real scenarios. While preparing myself, I realized there was a lack of free practice exams with clear explanations, so I built something to solve that. I created free GCP practice exam
I kept watching the same thing happen. What I Built It's a 3D interactive sales simulator. I call it a flight simulator for software — except instead of flying a plane, you're walking a non-technical client through the risk inside their own infrastructure. The Map You feed it a simple JSON file describing your client's tech stack. It reads it and instantly draws a floating, 3D web of nodes — s
I thought I found a great deal on an H100. ~$2.50/hour. Way cheaper than what I’d seen elsewhere. On paper, it looked like a no-brainer. It wasn’t. Like most people, I compared GPU providers based on: hourly price That’s how every pricing page is structured. So naturally, that’s how we evaluate them. But after actually running workloads, it became obvious: the hourly rate is one of the least impor
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
You ssh'd into a fresh Linux box and you need to send an email. Maybe a backup completed. Maybe a deploy succeeded. Maybe a process crashed and you want a stack trace in your inbox. The traditional path: install Postfix, edit main.cf, configure a smart relay, generate SASL credentials, restart the daemon, and pray nothing else on the box uses port 25. That is the 30-minute path. The 60-second path