Miroslava Čech

Voice classifiers can turn brand style into a pass-or-fail test.

Combining different models blurs the single-model fingerprint detectors rely on.

Automated content checks in CI/CD enforce style rules before publication.

AI-generated content demands version control, audit trails, and model checkpoints.

Building a system for human-quality content requires architecture, not just picking the best model.

Current watermarking standards cannot reliably detect AI-generated text after editing.

Detector scores alone cannot determine whether a human or AI wrote a given text.

Perplexity and burstiness measure different writing patterns that detectors use to flag AI output.

Prompts can't stop AI writing from sliding generic, so catch it with baselines.

Use document review for drafts and line review for polish.

Mixing models on purpose is how writing teams escape the generic draft.

Splitting generation from review beat a lone model by 10.1% in testing.