Structured outputs remain a practical fault line for LLM applications

A fresh technical guide on structured LLM outputs compares JSON mode, function calling, and the situations where each approach makes sense.

The subject is practical because many LLM apps fail at the boundary between language and software. If a model response cannot be parsed or trusted as structured data, downstream automations become brittle.

For builders, structured outputs are now part of core application design: schema control, validation, retries, and tool boundaries matter as much as prompt quality.