Why AI Agent Outputs Should Be Treated as Typed APIs, Not Free Text

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A software engineering analysis warns that most AI agent failures occur not within the model itself, but at the boundary where unstructured text output enters application logic. Developers who parse meaning from free-form model responses are effectively creating an undocumented API, one that is unversioned, unvalidated, and prone to silent misbehavior. The recommended fix is to separate human-readable descriptions from machine-readable decisions, with the latter drawn from a strictly defined, validated set of values. Enforcing a schema check before any consequential action — such as a merge, payment, or deployment — converts silent wrong-branch errors into loud, recoverable failures. A valid decision record should also carry the inputs seen, the allowed output space, the chosen value, supporting evidence, and a timestamp to enable full auditability and replay.

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