May 6 · 8 min read · Why I Built This It started with a mundane problem: I wanted a better way to filter stocks. Not trading signals, not price alerts — just a structured monthly process to surface equities worth looking
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May 5 · 8 min read · On Thursday I wrote about Karpathy's autoresearch, the 630-line training loop that runs 100 ML experiments overnight on a single GPU while you sleep. The post generated a lot of conversation, and most of it centered on the automation: agents doing re...
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Apr 27 · 3 min read · What you'll learn The critical difference between monitoring and evaluation in production AI systems How to build a real-time observability stack for AI agents Practical strategies for catching failures before they impact users How to integrate moni...
Join discussionApr 13 · 11 min read · I can tell, within about two minutes of joining a new team, whether they're serious about building with LLMs. I don't have to look at the code. I don't have to see the prompts. I ask one question: "Show me your eval." A team that's serious says "here...
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Nov 16, 2025 · 14 min read · You want to build an AI application. Something useful. Something your users can rely on. But here's the problem: How do you know it's actually good? You can build an app that generates summaries, answers questions, or writes emails. It works. Your te...
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Oct 26, 2025 · 5 min read · A few months ago, as I was exploring machine learning while working on a project, one of my models kept behaving in a weird way. I had built a classifier to detect cats in images. During training, accuracy was awesome, near 99%. But in production, it...
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Sep 19, 2025 · 6 min read · When we started rolling out voice and chat agents at Hillflare, it felt like opening a thousand tabs at once. Every new client, every script, every accent, every “quick tweak” to a prompt multiplied the ways things could go right… or sideways. Readin...
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Jul 10, 2025 · 8 min read · Introduction In AI development, evaluating an LLM’s performance using test cases based on your understanding of what the LLM is supposed to do is critical. These evaluations, commonly called “Evals”, serve as test cases to help you assess whether you...
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