darmar
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The cat sat on the…
There are many ways to explain AI. Neural networks. Transformers. Large language models. Attention mechanisms. Embeddings. Agents. RAG. MCP. And, if you want to keep things simple, use that one example everyone loves: “The cat sat on the…” You’ve probably seen it. It’s one of those wonderfully simple examples used to explain how language models…
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The AI Service Desk: Filling the L1 Gap Before You Hire for It
It starts with “just a quick question” Every product and engineering team knows the pattern. Someone pings a chat thread with “I need a new ___”, “I have a problem with ___”, or “can you check the ___”. Then comes the back-and-forth: what exactly is broken, which environment, did it ever work, what did you…
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A feature engineering experiment from my garden
Can AI tell good Ajvar from bad Ajvar? This year, I grew vegetables, again. Nothing particularly revolutionary about that. Mostly peppers, and a few other things. Then came the inevitable question: What do you actually do with all of it? The answer, at least in this part of Europe, is obvious: Make ajvar. But while…
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AI is not a feature strategy
A chatbot here.A recommendation engine there.AI-generated content.A predictive model.A copilot added to an existing product. It looks like progress. But adding AI to products is not the same as having an AI strategy. Features answer “what?” An AI feature strategy usually starts with a technology: “Where can we add AI to our product?” This can…
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What actually happens inside a neural network
Most explanations stop at the diagram or jump straight to the calculus. I wanted the bit in between, so I animated it. Six minutes, eight examples. One real input travels through a five-layer network, every weighted sum resolves into an actual number, the loss gets calculated, and the error flows back through every weight. Then…
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I built a Chrome extension so I could stop reading clickbait
My first published extension. Vibe coded, built for myself, now yours too. Every morning I do the same thing: coffee, then three or four news portals. And most mornings I end up annoyed. Half the headlines are clickbait. Of the ones that aren’t, plenty bury the single sentence that actually matters at the very end,…
