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Structured Outputs: Taming AI's Token Lottery
Most developers discover the hard way that asking an AI nicely for JSON doesn't guarantee consistent results. This episode explores API-level schema enforcement — the technical mechanism that constrains which tokens a model can produce. Through two real case studies (footnote extraction from a published book and an inventory management system), we examine how structured outputs eliminate the "token lottery" problem, how chunking strategies improve extraction accuracy, and how to design schemas that handle nullable fields and unexpected data without collapsing into chaos. Episode 2923 —…
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