I work on the operational side of AI systems, especially human-in-the-loop workflows where data quality, feedback loops, and scale start to collide. Most of what I share comes from production lessons, not theory.
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Jan 31 · 3 min read · Introduction As AI systems scale in 2026, data annotation costs are becoming a strategic decision rather than a procurement afterthought. Teams are no longer choosing annotation partners based only on hourly rates — they’re optimizing for accuracy, t...
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Jan 29 · 2 min read · Intro Most AI teams obsess over model accuracy, but in production systems, accuracy alone rarely determines cost or scalability.In human-in-the-loop AI systems, rework quietly becomes the biggest operational tax — and it usually shows up long after m...
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