Truth and transparency are among the most important foundations of a healthy digital public space. Detecting bot-generated content requires recognizing subtle. patterns and trends that are often impossible for humans to identify consistently at scale. A trained machine learning model is effective at capturing these nuances, allowing large volumes of content to be analyzed quickly and reliably. By integrating this technology into accessible tools, we can restore trust in online communication without placing the burden of detection on individual users.