The rapid rise of generative models has transformed how content is created, shared, and moderated. As synthetic text, images, and audio proliferate, platforms and organizations need reliable systems to determine whether an item was produced by a human or by an algorithm. Effective detection combines statistical analysis, linguistic forensics, and behavioral signals to flag suspicious output while minimizing false positives. Understanding how an ai detector performs under real-world conditions is critical for publishers, educators, and platforms that depend on authentic content. Beyond mere identification, modern detection tools play a pivotal role in broader workflows such as content moderation, compliance monitoring, and brand protection. Stakeholders must weigh technical capabilities against ethical…