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Guardrails AI Policy Enforcement

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Linked challenge: Agentic News Headline Generator with Fact-Checking and Bias Detection

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Linked challenge
Agentic News Headline Generator with Fact-Checking and Bias Detection

Prompt source

Original prompt text with formatting preserved for inspection.

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Integrate Guardrails AI to enforce strict output policies on the generated headlines. Define a Pydantic model for your headline output that includes fields like `headline: str`, `length_check: bool`, `contains_forbidden_words: bool`. Use Guardrails AI to validate that headlines: (a) do not exceed 100 characters, (b) do not contain a predefined list of 'clickbait' words (e.g., 'shocking', 'unbelievable'). Demonstrate how Guardrails AI catches and corrects or flags violations before the headline is finalized.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.