Posts Tagged: MCP

Agents, MCP, and what a 19-hour build changed about how I think

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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.

Voice + MCP: The Interface That Finally Kills the Dashboard

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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

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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

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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 […]