AI Engineering
Structured Output: Getting LLMs to Return JSON You Can Actually Trust
Parsing a model's free-text response with a regex is how production incidents get written. Here is what reliable structured output actually requires.
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Parsing a model's free-text response with a regex is how production incidents get written. Here is what reliable structured output actually requires.
Most token-cost conversations jump straight to "use a cheaper model." That is the last lever to pull, not the first.
The vector database market is crowded and most comparisons focus on benchmark recall numbers that won't matter for your actual traffic.
The clever prompt phrase mattered when models were smaller. What actually moves the needle now is what you put in the context window, and what you leave out.
"It looked fine when I tried it" is not an evaluation strategy. Here is the harness we run before any prompt or model change ships.
Thirty minutes with the people who would actually do the work — no discovery deck, no account manager.