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Develop De-AI-ification Recommendations with Semantic Kernel
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Linked challenge: Deconstructing AI Prose Quirks
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Linked challenge
Deconstructing AI Prose Quirks
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
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Using Semantic Kernel or similar capabilities, develop a module within one of your agents (e.g., 'Style Critic') that can analyze an AI-generated text and provide concrete, actionable recommendations for 'de-AI-ifying' it. This should include suggested rephrasing, vocabulary changes, and structural adjustments to make the text sound more natural and human. Provide examples of input AI text and your agent's proposed transformations.
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.