The Calendrz Smart Scheduler went from first commit to default-enabled in production in 19 hours. Here’s the architecture — manual agent loop, 13 scheduler tools mirroring 30 MCP tools, prompt caching on two breakpoints — and the meta-story about AI-assisted coding compressing what used to be a sprint into a day.
Posts Tagged: MCP
Voice + MCP: The Interface That Finally Kills the Dashboard
In my previous post, I argued that UIs are becoming optional: that MCP turns your AI assistant into an IDE where every product is just a plugin. But that post still assumed you’re sitting at a keyboard, typing prompts into a chat window. Take the keyboard away. Now what? Voice changes the equation entirely. MCP […]
UIs Are Becoming Optional — MCP and the End of the Dashboard Era
For decades, the way we interact with software has followed the same pattern: someone builds an interface, and we learn to use it. We click buttons, navigate menus, fill out forms. Every new tool means a new UI to master, a new set of conventions to internalize, a new cognitive load to carry. That era […]
The AI-Native Product: What Happens When You Design for AI Consumers First
There’s a category of product emerging that I think deserves its own label: the AI-native product. Not “AI-enhanced” — a product that bolts on a chatbot or sprinkles some ML recommendations on top. Not “AI-powered” — a product whose core engine is a model. I mean something different: a product that was designed from the […]




