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I build software products focused on solving real, everyday operational challenges that businesses face. My goal is to create tools people don’t just try once, but rely on as part of their daily work. I pay close attention to how they’re actually used in real scenarios, not just how they’re designed. I believe in improving continuously through real user feedback and usage patterns, shaping each product over time to make it more practical, dependable, and genuinely useful for the people who use it.

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Tastemaker
Tastemaker
Gone streaking
Gone streaking

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The 3 stages of AI usage, where do you actually sit?

I've been building in the AI space for a while now, and I keep seeing the same pattern: most people are using AI the same way they used the early internet. They read, they search, they ask questions. But they're not really building or automating yet.

And that's not a criticism. The internet took years to go from "browse pages" to "infrastructure that runs everything." AI is moving 10xfaster, but the adoption pattern is the same.

Here's what I'm seeing across the community:

  1. Stage one is where most people are right now. They open ChatGPT or Claude, ask a question, copy the answer, close the tab. It's useful, but it's manual.

  2. Stage two is where things get interesting. People are running agents that actually do things. They write code, research topics, process files. But they're still switching between tools, copy-pasting context, managing each agent separately.

  3. Stage three is what I think is actually next, and almost nobody's talking about it yet. One place where your tools, agents, and workflows connect and run together. No stitching between tabs. No manual context switching. The orchestration layer.

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