Posts Tagged: AI tools

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 […]

Buy vs Build in the Age of AI: The Calculus Has Changed

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The “buy vs build” debate is as old as the software industry itself. For decades, the default answer for most teams has been “buy”, and for good reason. Building software is expensive, slow, and unpredictable. Off-the-shelf solutions, while imperfect, get you to market faster and let you focus on your core business. But something has […]

Building a Privacy-First Product with AI as Your Engineering Partner

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There’s a tension at the heart of building products with AI that nobody talks about enough: AI is fundamentally about sharing and connecting data, but some of the best products are built on the principle of not sharing data. Calendrz, the calendar mirroring tool I’ve been building, is one of those products. Its core promise […]