Почему JSON Schema не делает ответ LLM надёжным
Structured output решает одну из самых раздражающих проблем LLM-интеграций: модель наконец стабильно возвращает данные в ожидаемом формате. Но валид…
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TypeSafe Jev Played Chess — And Landed Next to Reasoning Models
TypeSafe's Jev is an odd one. It isn't a chat model - you send a state plus typed questions (Choice / Score / Noul) and get labels with probabilitie…
How to Build AI Evals for Tool-Calling Agents
Every other week it feels like a new model shows up with a shiny score on some "trust me bro" benchmark. The numbers climb, people call it smarter,…
How to Add Evals to an LLM Feature
Learning how to add evals to an LLM feature is the difference between shipping a demo and shipping a reliable product. When you embed an LLM into a…
AI Evals, Part 5: From a Number to a Gate Evals in CI and Production
Part 5, the finale, of a series on building production AI on .NET. We've built the pieces — what evals are , error analysis , golden datasets , and…
AI Evals, Part 4: LLM-as-Judge, Done Right
Part 4 of a series on building production AI on .NET. We've covered what evals are , error analysis , and golden datasets . Now: how do you turn a p…
AI Evals, Part 3: Golden Datasets That Dont Lie
Part 3 of a series on building production AI on .NET. Part 1 was the overview; Part 2 was error analysis. Now we turn the failure taxonomy you built…
AI Evals, Part 2: Error Analysis The Unglamorous Superpower Behind Good Evals
Part 2 of a series on building production AI on .NET. Part 1 covered what evals are and the Analyze → Measure → Improve lifecycle. This post is abou…
If You Can Survive a Toddler, You Can Ship LLMs in Production
A few years back I was running a time-series pipeline that scored incoming product reviews on a 1-10 scale. The scorer was an LLM. Reviews rolled in…